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Theory of multiple intelligences
Theory of multiple intelligences
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The intelligence modalities

The theory of multiple intelligences (MI) posits that human intelligence is not a single general ability but comprises various distinct modalities, such as linguistic, logical-mathematical, musical, and spatial intelligences.[1] Introduced in Howard Gardner's book Frames of Mind: The Theory of Multiple Intelligences (1983), this framework has gained popularity among educators who accordingly develop varied teaching strategies purported to cater to different student strengths.[2][3]

Despite its educational impact, MI has faced criticism from the psychological and scientific communities. A primary point of contention is Gardner's use of the term "intelligences" to describe these modalities. Critics argue that labeling these abilities as separate intelligences expands the definition of intelligence beyond its traditional scope, leading to debates over its scientific validity.[4]

While empirical research often supports a general intelligence factor (g-factor),[5] Gardner contends that his model offers a more nuanced understanding of human cognitive abilities.[6] This difference in defining and interpreting "intelligence" has fueled ongoing discussions about the theory's scientific robustness.

Separation criteria

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Beginning in the late 1970s, using a pragmatic definition, Howard Gardner surveyed several disciplines and cultures around the world to determine skills and abilities essential to human development and culture building. He subjected candidate abilities to evaluation using eight criteria that must be substantively met to warrant their identification as an intelligence. Furthermore, the intelligences need to be relatively autonomous from each other, and composed of subsets of skills that are highly correlated and coherently organized.

In 1983, the field of cognitive neuroscience was embryonic but Gardner was one of the early psychological theorists to describe direct links between brain systems and intelligence. Likewise the field of educational neuroscience was yet to be conceived. Since Frames of Mind was published (1983) the terms cognitive science and cognitive neuroscience have become standard in the field with extensive libraries of scholarly and scientific papers and textbooks.[1] Thus it is essential to examine neuroscience evidence as it pertains to MI validity.

Gardner defined intelligence as "a biopsychological potential to process information that can be activated in a cultural setting to solve problems or create products that are of value in a culture."[1]

This definition is unique for several reasons that account for MI theory's broad appeal to educators as well as its rejection by mainstream psychologists who are rooted in the traditional conception of intelligence as an abstract, logical capacity.[7] A fundamental element for each intelligence is a framework of clearly defined levels of skill, complexity and accomplishment. One model that fits with the MI framework is Bloom’s taxonomy where each intelligence can be delineated along different levels, ranging from basic knowledge up to their highest levels of analysis / synthesis.[8][9]

MI is also unique because it gives full appreciation for the impact and interactions - via symbol systems - between the individual’s cognitions and their particular culture. As Gardner states,

The multiple intelligences commence as a set of uncommitted neurobiological potentials. They become crystallized and mobilized by the communication that takes place among human beings and, especially, by the systems of meaning-making that already exist in a given culture.[10]

Unlike traditional practices beginning in the 19th century,[11] MI theory is not built on the statistical analyses of psychometric test data searching for factors that account for academic achievement. Instead, Gardner employs a multi-disciplinary, cross-cultural methodology to evaluate which human capacities fit into a comprehensive model of intelligence. Eight criteria accounting for advances in neuroscience and the influence of cultural factors are used to qualify a capacity as an intelligence. These criteria are drawn from a more extensive database than what was acceptable and available to researchers in the late 19th and 20th centuries. Evidence is gathered from a variety of disciplines including psychology, neurology, biology, sociology, and anthropology as well as the arts and humanities. If a candidate faculty meets this set of criteria reasonably well then it can qualify as an intelligence. If it does not, then it is set aside or reconceptualized.[12]

Criteria for each type of intelligence

[edit]

The eight criteria can be grouped into four general categories:

  1. biology (neuroscience and evolution)
  2. analysis (core operations and symbol systems)
  3. psychology (skill development, individual differences)
  4. psychometrics (psychological experiments and test evidence)

The criteria briefly described are:

  • potential for brain isolation by brain damage
  • place in evolutionary history
  • presence of core operations
  • susceptibility to encoding (symbolic expression)
  • a distinct developmental progression
  • the existence of savants, prodigies and other exceptional people
  • support from experimental psychology
  • support from psychometric findings

This scientific method resembles the process used by astronomers to determine which celestial bodies to classify as a planet versus dwarf planet, star, comet, etc.[citation needed]

Forms of intelligences

[edit]

In Frames of Mind and its sequels, Howard Gardner describes eight intelligences that can be expressed in everyday life in a variety of ways referred to as domains, skills, competencies, or talents.[13] Like describing a multi-layer cake, the complexity depends upon how you slice the cake. One model integrates the eight intelligences with Sternberg's triarchic theory, so each intelligence is actively expressed in three ways: (1) creative, (2) academic / analytical and (3) practical thinking.[14][15] In this analogy each of the eight cake layers are divided into three segments with different expressions sharing a central core. Exemplar professions and adult roles requiring specific intelligences are described along with their core skills and potential deficits. Several references to exemplar neuroscientific studies are also provided for each of the eight intelligences. Furthermore, some have suggested that the 'intelligences' refer to talents, personality, or ability rather than a distinct form of intelligence.[16]

The two intelligences that are most associated with the traditional I.Q. or general intelligence are the linguistic and logical-mathematical intelligences. Some intelligence models and tests also include visual-spatial intelligence as a third element.

Musical

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This area of intelligence includes sensitivity to the sounds, rhythms, pitch, and tones of music. People with musical intelligence normally may be able to sing, play musical instruments, or compose music. They have high sensitivity to pitch, meter, melody and timbre.[17] Musical intelligence includes cognitive elements that contribute to a person’s success and quality of life. There is a strong relationship between music and emotions as evidenced in both popular and classical music spheres. Neuroscience investigators continue to investigate the interaction between music and cognitive performances.[18] Music is deeply rooted in human evolutionary history (Paleolithic bone flute) and culture (every country on Earth has a national anthem'[citation needed]) and our personal lives (many important life events are associated with particular types of music, like birthday songs, wedding songs, funeral dirges, etc.).

Deficits in musical processing and abilities include congenital amusia, tone deafness, musical hallucinations, musical anhedonia, acquired music agnosia, and arrhythmia (beat deafness).

Professions requiring essential musical skills include vocalist, instrumentalist, lyricist, dancer, sound engineer and composer. Musical intelligence is combined with kinesthetic to produce instrumentalists, dancers and, combined with a linguistic intelligence, for music critics and lyricists. Music combined with interpersonal intelligence is required for success as a music therapist or teacher.

Visual-spatial

[edit]

This area deals with spatial awareness / judgment and the ability to visualize with the mind's eye.[17] It is composed of two main dimensions: A) mental visualization and B) perception of the physical world (spatial arrangements and objects). It includes both practical problem-solving as well as artistic creations. Spatial ability is one of the three factors beneath g (general intelligence) in the hierarchical model of intelligence.[19] Many I.Q. tests include a measure of spatial problem-solving skills, e.g., block design and mental rotation of objects.[20]

Visual-spatial intelligence can be expressed in both practical (e.g., drafting and building) or artistic (e.g., fine art, crafts, floral arrangements) ways. Or they can be combined in fields such as architecture, industrial design, landscape design, and fashion design. Visual-spatial processing is often combined with the kinesthetic intelligence and referred to as eye-hand or visual-motor integration for tasks such as hitting a baseball (see Babe Ruth example for Kinesthetic), sewing, golf or skiing.

Professions that emphasize skill with visual-spatial processing include carpentry, engineering, designers, pilots, firefighters, surgeons, commercial and fine arts and crafts. Spatial intelligence combined with linguistic is required for success as an art critic or textbook graphic designer. Spatial artistic skills combined with naturalist sensitivity produce a pet groomer or clothing designer, costumer.

Linguistic

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The core linguistic ability is sensitivity to words and their meanings. People with high verbal-linguistic intelligence display a facility with expressive language and verbal comprehension. They are typically good at reading, writing, telling stories, rhetoric and memorizing words along with dates.[17] Verbal ability is one of the most g-loaded abilities.[21] Linguistic (academic aspect) intelligence is measured with the Verbal Intelligence Quotient (IQ) in Wechsler Adult Intelligence Scale (WAIS-IV).

Deficits in linguistic abilities include expressive and receptive aphasia, agraphia, specific language impairment, written language disorder and word recognition deficit (dyslexia).

Linguistic ability can be expressed according to Triarchic theory in three main ways: analytical-academic (reading, writing, definitions); practical (verbal or written directions, explanations, narration); and creative (story telling, poetry, lyrics, imaginative word play, science fiction).

Professions that require linguistic skills include teaching, sales, management, counselors, leaders, childcare, journalists, academics and politicians (debating and creating support for particular sets of values). Linguistic intelligence combines with all other intelligences to facilitate communication either via the spoken or written word. It is frequently highly correlated with the interpersonal intelligence to facilitate social interactions for education, business and human relations. Successful sports coaches combine three intelligences: kinesthetic, interpersonal and linguistic. Corporate managers require skills in the interpersonal, linguistic and logical-mathematical intelligences.

Logical-mathematical

[edit]

This area has to do with logic, abstractions, reasoning, calculations, strategic and critical thinking.[17] This intelligence includes the capacity to understand underlying principles of some kind of causal system.[22] Logical reasoning is closely linked to fluid intelligence as well as to general intelligence (g factor).[23]  This capacity is most often associated with convergent problem-solving but it also includes divergent thinking associated with “problem-finding”.

This intelligence is most closely associated with the cognitive development theory described by Jean Piaget (1983). The four main types of logical-mathematical intelligence include logical reasoning, calculations, practical thinking (common sense) and discovery.

Deficits in logical-mathematical thinking include acalculia, dyscalculia, mild cognitive impairment, dementia and intellectual disability.

Some critics[who?] believe that the logical and mathematics domains should be separate entities. However, Gardner argues that they both spring from the same source—abstractions taken from real world elements, e.g., logic from words and calculations from the manipulation from objects. This is not dissimilar from the relationship between musical intelligence and vocal or instrumental skills where they are very different expressions springing from a shared musical source.

Professions most closely associated with this intelligence include accounting, bookkeeping, banking, finance, engineering and the sciences. Logic-mathematical skills combine with all the other intelligences to facilitate complex problem solving and creation such as environmental engineering and scientists (naturalist); symphonies (music); public sculptures (visual-spatial) and choreography/ movement analysis (kinesthetic).

Bodily-kinesthetic

[edit]

The core elements of the bodily-kinesthetic intelligence are control of one's bodily movements and fine motor control to handle objects skillfully.[17] Gardner elaborates to say that this also includes a sense of timing, a clear sense of the goal of a physical action, along with the ability to train responses. Kinesthetic ability can be displayed in goal-directed activities (athletics, handcrafts, etc.) as well as in more expressive movements (drama, dance, mime and gestures). Expressive movements can be for either concepts or feelings. For example, saluting, shaking hands or facial expressions can convey both ideas and emotions. Two major kinesthetic categories are gross and fine motor skills.

Deficits in kinesthetic ability are described as proprioception disorders affecting body awareness, coordination, balance, dexterity and motor control.

Gardner believes that careers that suit those with high bodily-kinesthetic intelligence include: athletes, dancers, musicians, actors, craftspeople, builders, technicians, and firefighters. Although these careers can be duplicated through virtual simulation, they will not produce the actual physical learning that is needed in this intelligence.[24]  

Often people with high physical intelligence combined with visual motion acuity will have excellent hand-eye coordination and be very agile; they are precise and accurate in movement (surgeons) and can express themselves using their body (actors and dancers). Gardner referred to the idea of natural skill and innate kinesthetic intelligence within his discussion of the autobiographical story of Babe Ruth – a legendary baseball player who, at 15, felt that he had been 'born' on the pitcher's mound. Seeing the pitched ball and coordinating one’s swing to meet it over the plate requires highly developed visual-motor integration. Each sport requires its own distinctive combination of specific skills associated with the kinesthetic and visual-spatial intelligences.

American baseball player Babe Ruth

Physical ability

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Physical intelligence, also known as bodily-kinesthetic intelligence, is any intelligence derived through physical and practiced learning such as sports, dance, or craftsmanship. It may refer to the ability to use one's hands to create, to express oneself with one's body, a reliance on tactile mechanisms and movement, and accuracy in controlling body movement. An individual with high physical intelligence is someone who is adept at using their physical body to solve problems and express ideas and emotions.[25] The ability to control the physical body and the mind-body connection is part of a much broader range of human potential as set out in Gardner's theory of multiple intelligences.[26]

Characteristics

[edit]

Exhibiting well developed bodily kinesthetic intelligence will be reflected in a person's movements and how they use their physical body. Often people with high physical intelligence will have excellent hand-eye coordination and be very agile; they are precise and accurate in movement and can express themselves using their body. Gardner referred to the idea of natural skill and innate physical intelligence within his discussion of the autobiographical story of Babe Ruth – a legendary baseball player who, at 15, felt that he has been 'born' on the pitcher's mound. Individuals with a high body-kinesthetic, or physical intelligence, are likely to be successful in physical careers, including athletes, dancers, musicians, police officers, and soldiers.

Interpersonal

[edit]

In MI theory, individuals who have high interpersonal intelligence are characterized by their sensitivity to others' moods, feelings, temperaments, motivations, and their ability to cooperate or to lead a group. According to Thomas Armstrong in How Are Kids Smart: Multiple Intelligences in the Classroom, "Interpersonal intelligence is often misunderstood with being extroverted or liking other people.[27] Those with high interpersonal intelligence communicate effectively and empathize easily with others, and may be either leaders or followers. They often enjoy discussion and debate." They have insightful understanding of other peoples' point of view. Daniel Goleman based his concept of emotional intelligence in part on the feeling aspects of the intrapersonal and interpersonal intelligences.[28]  Interpersonal skill can be displayed in either one-on-one and group interactions.

Deficits in interpersonal understanding are described as ego centrism[citation needed], narcissism[citation needed], socio-pathology[citation needed], Asperger’s Syndrome[citation needed] and autism[citation needed].

Gardner believes that careers that suit those with high interpersonal intelligence include leaders, politicians, managers, teachers, clergy, counselors, social workers and sales persons.[29][30] Mother Teresa, Martin Luther King and Lyndon Johnson are cited as historical leaders with exceptional interpersonal intelligence. Interpersonal combined with intrapersonal management are required for successful leaders, psychologists, life coaches and conflict negotiators. And obviously, team sports require specific combinations of the interpersonal and kinesthetic intelligences while individual sports emphasize the kinesthetic and intrapersonal intelligences (i.e., Tiger Woods and gymnasts).

In theory, individuals who have high interpersonal intelligence are characterized by their sensitivity to others' moods, feelings, temperaments, motivations, and their ability to cooperate to work as part of a group. According to Gardner in How Are Kids Smart: Multiple Intelligences in the Classroom, "Inter- and Intra- personal intelligence is often misunderstood with being extroverted or liking other people".[31] "Those with high interpersonal intelligence communicate effectively and empathize easily with others, and may be either leaders or followers. They often enjoy discussion and debate." Gardner has equated this with emotional intelligence of Goleman.

Intrapersonal

[edit]

This refers to having a deep and accurate understanding of the self; what one's strengths and weaknesses are, what makes one unique, being able to predict and manage one's own reactions, emotions and behaviors. Activities associated with this intelligence include introspection and self-reflection. Intrapersonal skills can be categorized in at least four areas: metacognition, awareness of thoughts, management of feelings and emotions, behavior, self-management, decision-making and judgment.

Deficits in intrapersonal understanding are described as anosognosia, depersonalization, dissociation and self-dysregulation (ADHD).

Leaders and people in high stress occupations need well developed intrapersonal skills, e.g., pilots, police and firefighters, entrepreneurs, middle managers, first responders and health care providers. Mahatma Gandhi, Jesus and Martin Luther King Jr. are all noted for their strong self-awareness. Deficits in intrapersonal understanding may be correlated with ADHD, substance abuse and emotional disturbances (mid-life crisis, etc.).

Intrapersonal intelligence may be correlated with concepts such as self-confidence, introspection and self-efficacy but it should not be confused with personality styles/preferences such as narcissism, self-esteem, introversion or shyness. High level performance in many demanding professions and roles requires exceptional intrapersonal intelligence: Olympic athletes, professional golfers, stage performers, CEOs, crisis managers.

Naturalistic

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Not part of Gardner's original seven, naturalistic intelligence was proposed by him in 1995. "If I were to rewrite Frames of Mind today, I would probably add an eighth intelligence – the intelligence of the naturalist. It seems to me that the individual who is readily able to recognize flora and fauna, to make other consequential distinctions in the natural world, and to use this ability productively (in hunting, in farming, in biological science) is exercising an important intelligence and one that is not adequately encompassed in the current list."[32] This area has to do with nurturing and relating information to one's natural surroundings.[17] Examples include classifying natural forms such as animal and plant species and rocks and mountain types. Essential cognitive skills include pattern recognition, taxonomy and empathy for living beings. Nature deficit disorder describes a recent hypothesis that mental health is negatively impacted by a lack of attention to and understanding of nature, e.g., nature deficit disorder.

This sort of ecological receptiveness is deeply rooted in a "sensitive, ethical, and holistic understanding" of the world and its complexities – including the role of humanity within the greater ecosphere.[33]

This ability continues to be central in such roles like veterinarians, ecological scientists and botanists.

Proposed additional intelligences

[edit]

From the beginning Howard Gardner has stated that there may be more intelligences beyond the original seven identified in 1983. That is why the naturalist was added to the list in 1999. Several other human capacities were rejected because they do not meet enough of the criteria including personality characteristics such as humor, sexuality and extroversion.

Pedagogical and digital

[edit]

In January 2016, Gardner mentioned in an interview with Big Think that he was considering adding the teaching–pedagogical intelligence "which allows us to be able to teach successfully to other people".[34] In the same interview, he explicitly refused some other suggested intelligences like humour, cooking and sexual intelligence.[34] Professor Nan B. Adams argues that based on Gardner's definition of multiple intelligences, digital intelligence – a meta-intelligence composed of many other identified intelligences and stemmed from human interactions with digital computers – now exists.[35]

Use in education

[edit]

Within his Theory of Multiple Intelligences, Gardner stated that our "educational system is heavily biased towards linguistic modes of intersection and assessment and, to a somewhat lesser degree, toward logical quantities modes as well". His work went on to shape educational pedagogy and influence relevant policy and legislation across the world; with particular reference to how teachers must assess students' progress to establish the most effective teaching methods for the individual learner. Gardner's research into the field of learning regarding bodily kinesthetic intelligence has resulted in the use of activities that require physical movement and exertion, with students exhibiting a high level of physical intelligence reporting to benefit from 'learning through movement' in the classroom environment.[36]

Although the distinction between intelligences has been set out in great detail, Gardner opposes the idea of labelling learners to a specific intelligence. Gardner maintains that his theory should "empower learners", not restrict them to one modality of learning.[37] According to Gardner, an intelligence is "a biopsychological potential to process information that can be activated in a cultural setting to solve problems or create products that are of value in a culture".[38] According to a 2006 study, each of the domains proposed by Gardner involves a blend of the general g factor, cognitive abilities other than g, and, in some cases, non-cognitive abilities or personality characteristics.[39]

Gardner defines an intelligence as "bio-psychological potential to process information that can be activated in a cultural setting to solve problems or create products that are of value in a culture".[40] According to Gardner, there are more ways to do this than just through logical and linguistic intelligence. Gardner believes that the purpose of schooling "should be to develop intelligences and to help people reach vocational and avocational goals that are appropriate to their particular spectrum of intelligences. People who are helped to do so, [he] believe[s], feel more engaged and competent and therefore more inclined to serve society in a constructive way."[a]

Gardner contends that Intelligence Quotient (IQ) tests focus mostly on logical and linguistic intelligence. Upon doing well on these tests, the chances of attending a prestigious college or university increase, which in turn creates contributing members of society.[41] While many students function well in this environment, there are those who do not. Gardner's theory argues that students will be better served by a broader vision of education, wherein teachers use different methodologies, exercises and activities to reach all students, not just those who excel at linguistic and logical intelligence. It challenges educators to find "ways that will work for this student learning this topic".[42]

James Traub's article in The New Republic notes that Gardner's system has not been accepted by most academics in intelligence or teaching.[43] Gardner states that "while Multiple Intelligences theory is consistent with much empirical evidence, it has not been subjected to strong experimental tests ... Within the area of education, the applications of the theory are currently being examined in many projects. Our hunches will have to be revised many times in light of actual classroom experience."[44]

Jerome Bruner agreed with Gardner that the intelligences were "useful fictions", and went on to state that "his approach is so far beyond the data-crunching of mental testers that it deserves to be cheered."[45]

George Miller, a prominent cognitive psychologist, wrote in The New York Times Book Review that Gardner's argument consisted of "hunch and opinion" and Charles Murray and Richard J. Herrnstein in The Bell Curve (1994) called Gardner's theory "uniquely devoid of psychometric or other quantitative evidence".[46]

Distinction to learning styles

[edit]

The notion of learning styles is problematic, and their educational use is suspect.[47] Gardner has regularly explained the distinction between Theory of multiple intelligences and various learning style models. A big problem is that there are more than 80 different learning styles models so it is difficult to know which model is being referred to when making a comparison or planning instruction.[48] A key difference is that learning styles typically refer to sensory modalities, preferences, personality characteristics, attitudes, and interests while the multiple intelligences are cognitive abilities with defined levels of skill. It is easy to see why they are confused given the popularity of VAK (Visual, Auditory and Kinesthetic) and Introversion, Extroversion models. Their names sound alike and they share sensory systems (vision, hearing, physicality) but the eight intelligences are much more than the senses or personal preferences.

While learning style theories are fundamentally different from the eight intelligences, there is a model proposed by Richard Strong and others that integrates a person’s preference with the eight intelligences to produce a descriptive tapestry of a person’s intellectual dispositions.[49] The four styles are Mastery, Understanding, Interpersonal, and Self-Expressive. For the visual-spatial intelligence expressed artistically, a person may have a distinct pattern of preferences for realistic imagery (Mastery), conceptual art (Understanding), portraiture (Interpersonal) or abstract expression (Self-Expressive). This model has not been tested empirically.

Talents and aptitudes

[edit]

Intelligences not typically associated with academic achievement have been traditionally delegated to the status of talents or aptitudes—e.g., musical, visual-spatial, kinesthetic and naturalist. Gardner takes issue with this hierarchy because it lowers the importance of these “non-academic” intelligences and devalues their contribution to human thought, individual development and culture. Gardner is fine with calling them all talents (or aptitudes) (including logical-mathematical and linguistic) so long as they are seen to be of equal value.[1]

In spite of its lack of general acceptance in the psychological community, Gardner's theory has been adopted by many schools, where it is often conflated with learning styles,[50] and hundreds of books have been written about its applications in education.[51] Some of the applications of Gardner's theory have been described as "simplistic" and Gardner himself has said he is "uneasy" with the way his theory has been used in schools.[52] Gardner has denied that multiple intelligences are learning styles and agrees that the idea of learning styles is incoherent and lacking in empirical evidence.[53] Gardner summarizes his approach with three recommendations for educators: individualize the teaching style (to suit the most effective method for each student), pluralize the teaching (teach important materials in multiple ways), and avoid the term "styles" as being confusing.[53]

Criticism

[edit]

Gardner argues that there is a wide range of cognitive abilities, but that there are only very weak correlations among them. For example, the theory postulates that a child who learns to multiply easily is not necessarily more intelligent than a child who has more difficulty on this task. The child who takes more time to master multiplication may best learn to multiply through a different approach, may excel in a field outside mathematics, or may be looking at and understanding the multiplication process at a fundamentally deeper level.

Intelligence tests and psychometrics have generally found high correlations between different aspects of intelligence, rather than the low correlations which Gardner's theory predicts, supporting the prevailing theory of general intelligence rather than multiple intelligences (MI).[54] The theory has been criticized by mainstream psychology for its lack of empirical evidence, and its dependence on subjective judgement.[55]

Definition of intelligence

[edit]

A major criticism of the theory is that it is ad hoc: that Gardner is not expanding the definition of the word "intelligence", but rather denies the existence of intelligence as traditionally understood, and instead uses the word "intelligence" where other people have traditionally used words like "ability" and "aptitude". This practice has been criticized by Robert J. Sternberg,[56][57] Michael Eysenck,[58] and Sandra Scarr.[59] White (2006) points out that Gardner's selection and application of criteria for his "intelligences" is subjective and arbitrary, and that a different researcher would likely have come up with different criteria.[60]

Defenders of MI theory argue that the traditional definition of intelligence is too narrow, and thus a broader definition more accurately reflects the differing ways in which humans think and learn.[61]

Some criticisms arise from the fact that Gardner has not provided a test of his multiple intelligences. He originally defined it as the ability to solve problems that have value in at least one culture, or as something that a student is interested in. He then added a disclaimer that he has no fixed definition, and his classification is more of an artistic judgment than fact:

Ultimately, it would certainly be desirable to have an algorithm for the selection of intelligence, such that any trained researcher could determine whether a candidate's intelligence met the appropriate criteria. At present, however, it must be admitted that the selection (or rejection) of a candidate's intelligence is reminiscent more of an artistic judgment than of a scientific assessment.[1]

Generally, linguistic and logical-mathematical abilities are called intelligence, but artistic, musical, athletic, etc. abilities are not. Gardner argues this causes the former to be needlessly aggrandized. Certain critics are wary of this widening of the definition, saying that it ignores "the connotation of intelligence ... [which] has always connoted the kind of thinking skills that makes one successful in school."[62]

Gardner writes "I balk at the unwarranted assumption that certain human abilities can be arbitrarily singled out as intelligence while others cannot."[63] Critics hold that given this statement, any interest or ability can be redefined as "intelligence". Thus, studying intelligence becomes difficult, because it diffuses into the broader concept of ability or talent. Gardner's addition of the naturalistic intelligence and conceptions of the existential and moral intelligence are seen as the fruits of this diffusion. Defenders of the MI theory would argue that this is simply a recognition of the broad scope of inherent mental abilities and that such an exhaustive scope by nature defies a one-dimensional classification such as an IQ value.

The theory and definitions have been critiqued by Perry D. Klein as being so unclear as to be tautologous and thus unfalsifiable. Having a high musical ability means being good at music while at the same time being good at music is explained by having high musical ability.[64]

Henri Wallon argues that "We can not distinguish intelligence from its operations".[65] Yves Richez distinguishes 10 Natural Operating Modes (Modes Opératoires Naturels – MoON).[66] Richez's studies are premised on a gap between Chinese thought and Western thought. In China, the notion of "being" (self) and the notion of "intelligence" do not exist.[clarification needed] These are claimed to be Graeco-Roman inventions derived from Plato. Instead of intelligence, Chinese refers to "operating modes", which is why Yves Richez does not speak of "intelligence" but of "natural operating modes" (MoON).

Validity

[edit]

Critics argue that MI cannot be taken seriously as a scientific theory of intelligence for a number of reasons, the most common are given below:

  • It is not scientific as in a body of knowledge acquired by performing replicated experiments in the laboratory.[67]
  • There is conceptual confusion for determining exactly what intelligence is and what it isn’t, e.g., MI conflates personality, talent and learning styles with intelligence. MI does not value reasoning and academic skills.[25]
  • There are no empirical, experimental studies using psychometrics to establish validity. The proposed intelligences are not proven to be sufficiently independent to warrant separate identification.[68][69][70][71]
  • There is no evidence for educational efficacy and its use may undermine school effectiveness.[citation needed]

Neo-Piagetian criticism

[edit]

Andreas Demetriou suggests that theories which overemphasize the autonomy of the domains are as simplistic as the theories that overemphasize the role of general intelligence and ignore the domains. He agrees with Gardner that there are indeed domains of intelligence that are relevantly autonomous of each other.[72] Some of the domains, such as verbal, spatial, mathematical, and social intelligence are identified by most lines of research in psychology. In Demetriou's theory, one of the neo-Piagetian theories of cognitive development, Gardner is criticized for underestimating the effects exerted on the various domains of intelligences by the various subprocesses that define overall processing efficiency, such as speed of processing, executive functions, working memory, and meta-cognitive processes underlying self-awareness and self-regulation. All of these processes are integral components of general intelligence that regulate the functioning and development of different domains of intelligence.[73]

The domains are to a large extent expressions of the condition of the general processes, and may vary because of their constitutional differences but also differences in individual preferences and inclinations. Their functioning both channels and influences the operation of the general processes.[74][75] Thus, one cannot satisfactorily specify the intelligence of an individual or design effective intervention programs unless both the general processes and the domains of interest are evaluated.[76][77]

Human adaptation to multiple environments

[edit]

The premise of the multiple intelligences hypothesis, that human intelligence is a collection of specialist abilities, have been criticized for not being able to explain human adaptation to most if not all environments in the world. In this context, humans are contrasted to social insects that indeed have a distributed "intelligence" of specialists, and such insects may spread to climates resembling that of their origin but the same species never adapt to a wide range of climates from tropical to temperate by building different types of nests and learning what is edible and what is poisonous. While some such as the leafcutter ant grow fungi on leaves, they do not cultivate different species in different environments with different farming techniques as human agriculture does. It is therefore argued that human adaptability stems from a general ability to falsify hypotheses and make more generally accurate predictions and adapt behavior thereafter, and not a set of specialized abilities which would only work under specific environmental conditions.[78][79]

IQ tests

[edit]

Gardner argues that IQ tests only measure linguistic and logical-mathematical abilities. He argues the importance of assessing in an "intelligence-fair" manner. While traditional paper-and-pen examinations favor linguistic and logical skills, there is a need for intelligence-fair measures that value the distinct modalities of thinking and learning that uniquely define each intelligence.[17]

Psychologist Alan S. Kaufman points out that IQ tests have measured spatial abilities for 70 years.[80] Modern IQ tests are greatly influenced by the Cattell–Horn–Carroll theory which incorporates a general intelligence but also many more narrow abilities. While IQ tests do give an overall IQ score, they now also give scores for many more narrow abilities.[80]

Lack of empirical evidence

[edit]

Many of Gardner's "intelligences" correlate with the g factor, supporting the idea of a single dominant type of intelligence. Each of the domains proposed by Gardner involved a blend of g, of cognitive abilities other than g, and, in some cases, of non-cognitive abilities or of personality characteristics.[39]

The Johnson O'Connor Research Foundation has tested hundreds of thousands of people[81] to determine their "aptitudes" ("intelligences"), such as manual dexterity, musical ability, spatial visualization, and memory for numbers.[82] There is correlation of these aptitudes with the g factor, but not all are strongly correlated; correlation between the g factor and "inductive speed" ("quickness in seeing relationships among separate facts, ideas, or observations") is only 0.5,[83] considered a moderate correlation.[84]

A critical review of MI theory argues that there is little empirical evidence to support it:

To date, there have been no published studies that offer evidence of the validity of the multiple intelligences. In 1994 Sternberg reported finding no empirical studies. In 2000 Allix reported finding no empirical validating studies, and at that time Gardner and Connell conceded that there was "little hard evidence for MI theory" (2000, p. 292).[citation needed] In 2004 Sternberg and Grigerenko stated that there were no validating studies for multiple intelligences, and in 2004 Gardner asserted that he would be "delighted were such evidence to accrue",[85] and admitted that "MI theory has few enthusiasts among psychometricians or others of a traditional psychological background" because they require "psychometric or experimental evidence that allows one to prove the existence of the several intelligences".[85][86]

The same review presents evidence to demonstrate that cognitive neuroscience research does not support the theory of multiple intelligences:

... the human brain is unlikely to function via Gardner's multiple intelligences. Taken together the evidence for the intercorrelations of subskills of IQ measures, the evidence for a shared set of genes associated with mathematics, reading, and g, and the evidence for shared and overlapping "what is it?" and "where is it?" neural processing pathways, and shared neural pathways for language, music, motor skills, and emotions suggest that it is unlikely that each of Gardner's intelligences could operate "via a different set of neural mechanisms" (1999, p. 99). Equally important, the evidence for the "what is it?" and "where is it?" processing pathways, for Kahneman's two decision-making systems, and for adapted cognition modules suggests that these cognitive brain specializations have evolved to address very specific problems in our environment. Because Gardner claimed that the intelligences are innate potentialities related to a general content area, MI theory lacks a rationale for the phylogenetic emergence of the intelligences.[86]

However, more recent research from Branton Shearer in 2017 was able to identify both structures that activate in common, as well as separately, across Gardner's 8 intelligences.[87]

See also

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Notes

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References

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Further reading

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from Grokipedia
The theory of multiple intelligences is a psychological framework developed by , positing that consists of multiple distinct modalities rather than a single general ability, with individuals possessing a unique profile of strengths across these intelligences to solve problems and create products valued in their cultural context. Originally outlined in Gardner's 1983 book Frames of Mind: The Theory of Multiple Intelligences, the theory challenges traditional psychometric views of intelligence, such as IQ testing, by drawing on evidence from diverse fields including , , and . Gardner proposed eight criteria to identify an intelligence, including its potential isolation in cases of brain damage or prodigies, distinct developmental progression, evolutionary plausibility, and susceptibility to encoding in a symbol system. These criteria ensure that each intelligence represents a relatively autonomous set of processing operations, though they interact in real-world applications. The theory emphasizes that all people possess the full spectrum of intelligences to varying degrees, influenced by both genetic and environmental factors. The core intelligences identified by Gardner include:
  • Linguistic intelligence: Sensitivity to the meanings, order, and sounds of words, as seen in poets, lawyers, and journalists.
  • Logical-mathematical intelligence: Capacity for abstract reasoning, logical deduction, and numerical , evident in scientists and mathematicians.
  • Spatial intelligence: Ability to visualize and manipulate of spatial relationships, prominent in architects, pilots, and sculptors.
  • Musical intelligence: Skill in perceiving, composing, and appreciating , pitch, and , demonstrated by composers and musicians.
  • Bodily-kinesthetic intelligence: Proficiency in using one's body to produce or manipulate objects, as in dancers, athletes, and surgeons.
  • Interpersonal intelligence: Understanding and interacting effectively with others' emotions, motivations, and intentions, characteristic of leaders and therapists.
  • Intrapersonal intelligence: Awareness of one's own emotions, goals, and motivations, supporting self-regulation and personal decision-making.
  • Naturalistic intelligence: Recognizing and categorizing elements of the natural environment, such as and , often seen in biologists and chefs.
Gardner has suggested potential additions, such as existential (contemplating profound questions about ), but these remain provisional. In , the theory has profoundly influenced pedagogical practices worldwide by promoting that addresses diverse learner profiles, design incorporating multiple modalities, and assessment beyond standardized tests. Programs like Project Spectrum at Harvard's apply MI principles to early childhood , fostering individualized learning experiences. Empirical studies indicate that MI-based strategies enhance student engagement, academic performance, and skill development across subjects, particularly for diverse populations. As of September 2025, Gardner highlighted new strands of evidence from further supporting the theory's foundations. Despite its popularity, the theory faces critiques for limited empirical validation of intelligences as fully independent constructs, though it continues to shape inclusive educational reforms.

Background and Development

Historical Context

The study of in early 20th-century was largely shaped by psychometric approaches that sought to quantify cognitive abilities through standardized testing. In 1904, introduced the concept of a general factor, or g-factor, based on his of correlations among diverse mental tests, proposing that a single underlying ability accounted for performance across tasks, supplemented by task-specific factors. This became foundational for (IQ) assessments, emphasizing a hierarchical structure where general dominated. However, by the 1930s, Louis L. Thurstone challenged this unitary view with his theory of primary mental abilities, derived from multiple-factor of test data, identifying seven relatively independent factors including verbal comprehension, perceptual speed, and . Thurstone's 1938 work argued that comprised distinct, orthogonal components rather than a singular g, influencing later multidimensional models. Concurrently, offered insights into as multifaceted and stage-bound, particularly through Jean Piaget's extensive research from the 1920s to the 1970s. Piaget's early publications, such as The Language and Thought of the Child (1923) and Judgment and Reasoning in the Child (1924), laid the groundwork for his theory of cognitive stages, positing that children's thinking progresses through invariant sequences—sensorimotor (birth to 2 years), preoperational (2 to 7 years), concrete operational (7 to 11 years), and formal operational (11 years onward)—driven by active interaction with the environment. This framework highlighted qualitative shifts in cognitive processes, such as the emergence of logical operations, underscoring that involves domain-specific adaptations rather than a global capacity. Piaget's later works, including The Psychology of Intelligence (1950) and collaborations through the 1970s, reinforced the idea of as dynamically constructed, influencing critiques of static IQ measures. Cultural and environmental critiques gained prominence in through Lev Vygotsky's sociocultural theory, which emphasized the role of social context in over isolated testing. Vygotsky argued in works like Thought and Language (1934) that higher mental functions arise from mediated social interactions using cultural tools, critiquing IQ tests for ignoring the "zone of proximal development"—the gap between independent performance and potential under guidance. His approach highlighted how environmental and historical factors shape , challenging psychometric individualism by advocating assessments embedded in social settings. By the 1960s, the in further diversified views of through information processing models, portraying the mind as a modular system akin to a computer. This shift, marked by events like the 1956 on and the founding of Harvard's for Cognitive Studies in 1960, rejected behaviorist stimulus-response frameworks in favor of internal mechanisms for encoding, storage, and retrieval of information. Pioneers such as George A. Miller explored limits on (e.g., the "magical number seven"), while models emphasized parallel processing across sensory, attentional, and , laying groundwork for seeing as multifaceted rather than unitary. These developments collectively questioned single-factor theories, paving the way for later pluralistic conceptions like Howard Gardner's multiple intelligences.

Howard Gardner's Formulation

Howard Gardner, a developmental psychologist affiliated with Harvard University's Graduate School of Education, began formulating the theory of multiple intelligences in the 1970s through his work at Project Zero, an interdisciplinary research initiative he co-directed that focused on arts, cognition, and education. Drawing on influences from cognitive science, neurology, and anthropology, Gardner sought to reconceptualize intelligence beyond traditional psychometric models, incorporating insights from brain research, cross-cultural studies, and exceptional cognitive abilities observed in prodigies and savants. The theory's foundational text, Frames of Mind: The Theory of Multiple Intelligences, was published in 1983 by , where Gardner proposed an initial set of seven distinct intelligences—linguistic, logical-mathematical, spatial, musical, bodily-kinesthetic, interpersonal, and intrapersonal—arguing that human cognitive capacities operate as modular, independent systems rather than a singular entity. In this work, he outlined criteria for identifying separate intelligences, including potential isolation by brain damage, distinct developmental histories, and evolutionary plausibility. Over the subsequent decades, the theory continued to evolve. In the mid-1990s, Gardner identified naturalistic intelligence as an eighth dimension, recognizing the human capacity to categorize and interact with natural phenomena, a proposal he elaborated in his 1999 book Intelligence Reframed: Multiple Intelligences for the 21st Century. By 2006, in Multiple Intelligences: , Gardner provided an updated synthesis of the theory's progression, addressing its implications for and assessment while considering potential further expansions.

Core Principles

Defining Intelligence

In the theory of multiple intelligences, conceptualizes intelligence as "a biopsychological potential to process that can be activated in a cultural setting to solve problems or create products that are of value in a ." This definition shifts focus from abstract, decontextualized measures to practical abilities that enable individuals to navigate and contribute effectively within their sociocultural environments. It underscores intelligence as an innate human capacity, biologically grounded yet realized through environmental opportunities and cultural valuation. Gardner explicitly rejects the traditional notion of intelligence as a singular, general ability—often termed the g-factor—arguing that such a view oversimplifies human cognitive diversity and fails to account for specialized competencies. Instead, he emphasizes the modularity of the brain, positing that distinct intelligences operate relatively independently, supported by separate neural pathways rather than a centralized processing system. This modular approach highlights how cognitive functions are compartmentalized, allowing strengths in one domain without implying proficiency or deficit in others. Supporting this framework, Gardner draws on neurobiological , including studies of lesions where damage to specific regions impairs particular abilities—such as linguistic processing—while leaving others, like musical or spatial skills, intact. He also incorporates evolutionary adaptation, suggesting that multiple intelligences evolved to address diverse survival challenges, providing selective advantages across human ancestral environments. For instance, these principles underpin Gardner's identification of eight core intelligences, including linguistic and logical-mathematical types.

Criteria for Distinct Intelligences

Howard Gardner proposed eight criteria to empirically and theoretically distinguish distinct intelligences within his theory, drawing on evidence from , , , , and . These criteria serve as a framework to evaluate whether a cognitive qualifies as an independent rather than a facet of a general . Gardner emphasized that no single criterion is definitive, but a strong candidate intelligence should satisfy a majority of them, allowing for interdisciplinary validation. The first criterion is the potential isolation by brain damage, where damage to specific brain regions impairs one ability while sparing others, suggesting modular neural organization. For instance, cases of amusia from right-hemisphere lesions have shown isolated deficits in musical processing while preserving linguistic and spatial abilities. The second is the existence of savants, prodigies, and other exceptional individuals, where extraordinary proficiency in one domain occurs alongside average or deficient performance in others, indicating domain-specific talents. Examples include autistic savants with prodigious musical memory but limited verbal abilities. The third involves an identifiable core operation or set of operations, referring to distinct mental processes or computational mechanisms unique to the intelligence, such as in spatial tasks. The fourth is a distinct developmental history and trajectory, along with a definable set of expert 'end-state' performances, where the ability emerges, peaks, and declines independently of other intelligences across the lifespan, often influenced by sensitive periods. The fifth is evolutionary plausibility and history, positing that the intelligence must have adaptive value in human evolution, traceable to primate or ancestral behaviors that enhanced survival, such as navigational skills in early hominids. The sixth criterion is susceptibility to encoding in a symbol system, meaning the intelligence can be represented and developed through cultural symbols, notations, or tools, like musical notation for rhythmic patterns. The seventh draws support from , where tasks in laboratory settings dissociate the intelligence from others, revealing unique processing pathways. Finally, the eighth is support from psychometric findings, indicating that the intelligence can be identified as a distinct factor in statistical analyses of cognitive abilities, separate from general intelligence (g). These criteria underpin the identification and validation of the theory's core intelligences.

Core Intelligences

Linguistic Intelligence

Linguistic intelligence is defined as the ability to effectively use words and to understand and convey meaning, encompassing sensitivity to the sounds, structures, and functions of spoken and . This intelligence involves mastery of the linguistic tetrad— (the study of sounds in ), (the arrangement of words and phrases to create well-formed ), semantics (the meaning of words and ), and (the use of in social contexts). Individuals with high linguistic intelligence demonstrate ease with words, excelling in activities such as , , and the of , , or verbal information like quotes and narratives. Prominent examples of linguistic intelligence include poets like , whose masterful use of language in plays and sonnets exemplifies innovative syntax and semantics to evoke deep emotional and thematic resonance. Lawyers often exhibit this intelligence through skilled debate and argumentation, leveraging to influence juries and opponents with precise and compelling . Careers that particularly suit those with strong linguistic intelligence include , where reporters craft engaging narratives from complex events, and , which requires nuanced understanding of semantics and cultural across languages. Neurologically, linguistic intelligence correlates with dominance in the left hemisphere of the , particularly involving (responsible for language production and syntax) and (involved in language comprehension and semantics). Damage to these regions, as observed in cases, can selectively impair linguistic abilities while sparing other intelligences. Unlike logical-mathematical intelligence, which emphasizes abstract reasoning with numbers and deduction, linguistic intelligence prioritizes verbal and communicative proficiency.

Logical-Mathematical Intelligence

Logical-mathematical intelligence encompasses the capacity to analyze problems logically, carry out mathematical operations, and conduct scientific investigations. According to , this intelligence involves core functions such as recognizing patterns, following lines of reasoning, and exploring scientific phenomena, distinguishing it as a distinct modality within the theory of multiple intelligences. Key components include , which allows individuals to identify sequences and relationships in data; inductive and , enabling the formation of generalizations from specifics or conclusions from premises; and scientific inquiry, which supports hypothesis testing and empirical validation. Individuals with strong logical-mathematical intelligence excel in problem-solving by formulating and testing hypotheses systematically, often demonstrating a natural affinity for numbers, algorithms, and abstract symbols. This manifests in the ability to break down complex issues into manageable parts, apply logical rules to predict outcomes, and manipulate quantitative information efficiently. Such characteristics are evident in pursuits requiring precision and deductive rigor, where comfort with probabilistic thinking and algorithmic processes facilitates innovative solutions. Prominent examples include mathematicians such as , renowned for his abstract reasoning in developing theories of relativity, and scientists like , who employed logical deduction in analyzing evolutionary patterns through empirical observation. These traits align with careers in , where structural problem-solving is essential, and programming, which demands algorithmic design and logical . Gardner highlights how such individuals thrive in environments valuing quantitative and inferential skills, as seen in historical figures who advanced scientific paradigms through rigorous logic. Neuroscience research indicates that logical-mathematical intelligence correlates with activation in the , particularly the , which supports spatial-numerical tasks and symbol processing. This region facilitates the integration of numerical reasoning and pattern detection, underscoring the intelligence's role in abstract computation. Notably, neural overlaps exist with spatial intelligence in parietal areas, aiding visualization in mathematical contexts without dominating the modality.

Spatial Intelligence

Spatial intelligence, as defined in Howard Gardner's theory of multiple intelligences, refers to the capacity to perceive the visual-spatial world accurately, manipulate , and think in three-dimensional terms. This intelligence encompasses core components such as mental imagery (or visualization), where individuals form and retain detailed mental pictures of objects or scenes; spatial reasoning, including the ability to mentally rotate and transform shapes or forms; and spatial navigation, which involves orienting oneself within environments and plotting routes. These elements enable the recognition of patterns in wide spaces or confined areas, as well as the creation and transformation of visual designs. Individuals with high spatial intelligence typically exhibit a strong , allowing them to navigate complex environments without external aids, and excel in architectural design, where they conceptualize structures and their spatial relationships. Representative examples include artists like , who demonstrated exceptional ability to manipulate forms and perspectives in innovative ways, and professionals such as pilots, who rely on spatial for precise orientation during flight, or surgeons, who perform intricate procedures requiring of anatomical structures. Careers that leverage this intelligence often include , where visualization and image manipulation create compelling visuals, and roles like or . Neuroscience research correlates spatial intelligence with activity in the right hemisphere, particularly networks involving the occipital and parietal lobes, which support visual processing, spatial attention, and for spatial tasks. These regions facilitate the integration of visual input with spatial manipulation, as seen in studies of spatial . Spatial intelligence intersects briefly with bodily-kinesthetic intelligence in tasks requiring physical coordination within spatial contexts, such as manipulating objects in three dimensions.

Musical Intelligence

Musical intelligence, as defined within Gardner's theory of multiple intelligences, encompasses the sensitivity to s, s, and musical patterns, enabling individuals to recognize, produce, and appreciate . This intelligence involves the capacity to discern pitch, which allows for accurate identification and reproduction of musical notes, and , facilitating the perception and creation of temporal structures in music. , the unique quality or color of a that distinguishes different instruments or voices, is another core component, contributing to the nuanced understanding of musical textures. Composition represents a higher-order aspect, where individuals can synthesize these elements into original musical works, demonstrating in , , and form. Individuals exhibiting high musical intelligence often display the ability to play musical instruments by ear, reproducing complex pieces after a single hearing without relying on written notation. They also experience profound emotional responses to music, where rhythms and melodies can evoke strong feelings, shift moods, or even facilitate emotional regulation. These characteristics extend to an innate sense of meter and tone, allowing for intuitive synchronization with musical flows and the mental rehearsal of compositions. Notable examples include composers like , who as a could compose intricate symphonies from memory, and performers such as , whose improvisational showcased exceptional rhythmic and tonal sensitivity in . This intelligence finds application in various careers, particularly in music therapy, where practitioners use musical elements to support emotional and cognitive healing in clients. Similarly, roles in music production involve leveraging skills in pitch, , and rhythm to engineer recordings, mix sounds, and create cohesive tracks for albums or media. correlates of musical intelligence include activation in the , particularly the auditory cortices, which process pitch and during music and production. The plays a key role in integrating these processes across hemispheres, with studies showing enhanced white-matter connectivity in this region among those with musical training. There may be brief overlap with linguistic intelligence in the of prosody, the rhythmic and intonational patterns in speech.

Bodily-Kinesthetic Intelligence

Bodily-kinesthetic intelligence refers to the capacity to use one's body effectively to solve problems or create products, encompassing the skillful control of physical movements and the handling of objects. This intelligence involves key components such as fine for precise manipulations, gross for larger body movements, tactile sensitivity to textures and pressures, and overall physical coordination that integrates dexterity, balance, and strength. These elements enable individuals to execute actions with accuracy and adaptability, distinguishing this intelligence from mere by emphasizing purposeful and expressive use of the body. Characteristic features of bodily-kinesthetic intelligence include exceptional hand-eye coordination, the ability to perform mime or pantomime for expressive communication, and precise athletic timing that allows for fluid responses in dynamic environments. These traits manifest in activities requiring synchronized neural and muscular coordination, such as choreography or tool operation, where individuals demonstrate a strong mind-body connection to achieve goals efficiently. Prominent examples include athletes like Michael Jordan, whose basketball prowess showcased superior timing and coordination, and dancers like Martha Graham, renowned for innovative physical expressions in modern dance. Professions that highlight this intelligence encompass surgery, where fine motor precision is critical, and crafts such as woodworking or sculpture, demanding tactile sensitivity and manual dexterity. Neurologically, bodily-kinesthetic intelligence correlates with activity in the , which governs voluntary movements, and the , responsible for balance, posture, and coordination of complex actions. Additional involvement of the and supports the smooth execution of motor sequences, with impairments like revealing the localized neural basis when these areas are damaged. This intelligence often integrates briefly with spatial intelligence in tasks like , such as in or sports requiring environmental awareness.

Interpersonal Intelligence

Interpersonal intelligence refers to the capacity to understand other individuals' intentions, desires, and , and to act effectively upon that understanding to facilitate social interactions and relationships. According to Howard Gardner's formulation in Frames of Mind, this intelligence enables individuals to perceive and distinguish among others' moods, temperaments, motivations, and perspectives, allowing for cooperative and collaborative endeavors. It contrasts briefly with intrapersonal intelligence, which focuses on rather than external social navigation. Key components of interpersonal intelligence include , which involves sensing and responding to others' feelings; skills, such as interpreting facial expressions, , and tone; and an adeptness at navigating to foster harmony and productivity. These elements allow individuals to build , anticipate social needs, and adapt behaviors in diverse interpersonal contexts. Individuals exhibiting high interpersonal intelligence demonstrate characteristics such as accurately reading others' emotions to provide support or guidance, exercising by motivating and directing groups toward common goals, and resolving conflicts through empathetic mediation and negotiation strategies. For instance, leaders like exemplified this intelligence by intuitively understanding and mobilizing diverse populations through compassionate persuasion and nonviolent advocacy. Similarly, therapists and counselors rely on these traits to navigate clients' emotional states and facilitate therapeutic breakthroughs. Professions that particularly benefit from strong interpersonal intelligence include , where building client trust drives success; , which requires engaging and motivating students; and , demanding alliance-building and public influence. From a neuroscientific perspective, interpersonal intelligence correlates with activity in the mirror neuron system, which activates during observation of others' actions to simulate and empathize with their experiences, and the , a region specialized for rapid face recognition that supports interpretation. These brain mechanisms underscore the biological basis for effective social processing in Gardner's theory.

Intrapersonal Intelligence

Intrapersonal intelligence is defined as the capacity to access one's own emotional life—to understand oneself, including one's desires, fears, and motivations—and to use this self-knowledge effectively to regulate behavior and pursue personal goals. This intelligence enables individuals to form an accurate model of their strengths, weaknesses, and aspirations, distinguishing it as a key domain in 's theory of multiple intelligences. Key components of intrapersonal intelligence include self-regulation, which encompasses the management of emotions and impulses to align actions with intentions; , involving awareness and control over one's cognitive processes; and personal goal-setting, where individuals strategically plan and monitor progress toward self-defined objectives. These elements allow for effective self-direction, enabling people to navigate internal conflicts and adapt to personal challenges without external guidance. Individuals with high intrapersonal intelligence exhibit characteristics such as , which fosters deep reflection on personal experiences and inner states; resilience, demonstrated through the ability to recover from setbacks by drawing on self-understanding; and mood management, the to recognize and adjust emotional responses to maintain psychological equilibrium. These traits often manifest in introverted tendencies and a preference for independent problem-solving, contributing to overall personal efficacy. Notable examples of intrapersonal intelligence include philosophers like , whose emphasis on self-examination through the Delphic maxim "" exemplified profound introspective insight, and entrepreneurs such as , who leveraged deep self-awareness to overcome personal adversities and build a career centered on emotional authenticity. Careers that particularly draw on this intelligence encompass counseling, where supports therapeutic self-insight, and writing, which demands exploring and articulating internal motivations and experiences. Neurological correlates of intrapersonal intelligence are primarily linked to the , which supports such as , , and self-regulation essential for metacognitive processes. This region facilitates the integration of emotional and cognitive , underscoring the biological basis for goal-directed in Gardner's framework. Intrapersonal intelligence shares a brief overlap with interpersonal intelligence in the broader construct of , particularly in self-emotional recognition.

Naturalistic Intelligence

Naturalistic intelligence refers to the human capacity to recognize, categorize, and distinguish among various elements of the natural world, including , , rocks, patterns, and other environmental phenomena. This intelligence involves making consequential distinctions that aid in understanding and interacting with , often extending in contemporary contexts to differentiating natural from human-made objects. proposed naturalistic intelligence as the eighth core intelligence in his theory during the mid-1990s, formalizing it in his 1999 book Intelligence Reframed, due to its observed cultural universality and alignment with the theory's criteria for distinct intelligences. Key components of naturalistic intelligence include pattern discrimination in flora and fauna, such as classifying plant and based on subtle differences, and environmental , which encompasses recognizing ecological patterns and responding to cues for survival or harmony. Individuals high in this intelligence demonstrate characteristics like heightened sensitivity to weather changes and natural cycles, proficiency in and husbandry, and a deep ecological awareness that fosters appreciation for and environmental interconnections. These traits enable effective and utilization of natural settings, sometimes overlapping briefly with spatial intelligence in tasks like environmental orientation. Prominent examples of naturalistic intelligence include biologists such as , renowned for her observational studies of chimpanzee behavior and classification of social patterns, and , whose work on species variation exemplified in nature. Everyday manifestations appear in farmers who intuitively adapt to types, shifts, and ecosystems, while professional applications span careers in conservation, where experts protect endangered habitats; , involving plant identification and cultivation; and or , focusing on animal behaviors or atmospheric phenomena. From a neurobiological perspective, naturalistic intelligence correlates with evolutionary adaptations in sensory cortices, supporting the discrimination of natural stimuli through specialized neural pathways honed by ancestral survival needs, such as identifying or tracking prey in societies. evidence, including reviews of over 500 studies, supports distinct networks for the multiple proposed by Gardner. This evolutionary foundation underscores its universality across cultures, as the ability to interpret natural cues has conferred adaptive advantages throughout human history.

Additional Proposed Intelligences

Existential Intelligence

Existential intelligence refers to the capacity to engage with profound questions concerning the human condition, including the nature of , the and death, and ultimate realities beyond the immediate self. This intelligence encompasses contemplation of , cosmic significance, and transcendental concerns, allowing individuals to grapple with issues such as the origins of the , the purpose of , and ethical imperatives that transcend personal gain. Key characteristics of existential intelligence include a depth of philosophical inquiry and ethical reasoning that extends to broader existential themes, often manifesting as a sensitivity to the interconnectedness of human life with larger metaphysical or spiritual frameworks. Individuals high in this intelligence demonstrate clarity and facility in pondering these "big questions," which may involve integrating diverse perspectives from religion, , or to derive personal or collective meaning. It shares a brief overlap with intrapersonal intelligence in fostering self-reflective but distinctly focuses on universal rather than solely individual concerns. Prominent examples of individuals exhibiting strong existential intelligence include historical figures like and , who pondered cosmic and ethical dimensions in their work, as well as religious leaders, theologians, and philosophers who address ultimate life issues. Careers that draw on this intelligence often include roles in ministry, philosophical scholarship, or artistic endeavors that explore existential themes, such as or , where professionals confront the furthest reaches of human experience and the . Howard Gardner tentatively proposed existential intelligence in 1999, recognizing its cultural prevalence across societies—evident in widespread religious and philosophical traditions—but noting that it did not fully satisfy his criteria for a distinct due to challenges in empirical measurement and identification of specific neural or developmental signatures. Despite this provisional status, Gardner highlighted its potential as a ninth , emphasizing the need for further to substantiate its uniqueness. It remains provisional as of 2025.

Pedagogical Intelligence

Pedagogical intelligence, also referred to as teaching intelligence, represents the specialized capacity to effectively convey and skills to others by adapting instruction to diverse learners. Proposed by as a potential additional intelligence in his seminal work, it involves not merely possessing expertise in a domain but the ability to impart that expertise successfully, distinguishing it from raw subject knowledge. Gardner initially considered it alongside other candidates but deferred systematic study, noting its potential to meet criteria for an independent intelligence, such as evolutionary plausibility and distinct neural underpinnings. Key components of pedagogical intelligence include curriculum design, which entails selecting and structuring content appropriate to learners' needs; student motivation, encompassing strategies to engage and sustain interest; and adaptation to diverse , allowing instructors to tailor methods based on individual differences. These elements enable teachers to decide what to teach, how to present it, and how to adjust dynamically for optimal comprehension. Characteristics of high pedagogical intelligence feature in instruction, facilitating attunement to learners' emotional and cognitive states; proficient feedback skills, through which educators gauge understanding and refine approaches; and effective , maintaining an environment conducive to learning. Brain imaging studies suggest involvement of the in these processes, with synchronized neural patterns between teacher and learner enhancing transmission. Illustrative examples include innovative educators such as , whose child-centered methods exemplified adaptive teaching by designing environments that motivated self-directed learning across varied developmental stages. Careers demanding strong pedagogical intelligence span formal teaching roles in schools, where instructors craft curricula for heterogeneous classrooms, to in sports or , where motivators customize guidance for performance improvement. Gardner revisited pedagogical intelligence in discussions during the mid-2000s, particularly amid educational reforms emphasizing personalized instruction, positioning it as a candidate for a ninth intelligence in works like his update on multiple intelligences theory. By 2016, he highlighted its importance in interviews, describing it as the ability to teach effectively to varied audiences, underscoring its relevance in an era of diverse educational needs. In 2022, Gardner discussed intriguing findings on pedagogical intelligence, including brain-based clues supporting its distinctiveness. It overlaps briefly with interpersonal intelligence in requiring for engagement but focuses distinctly on instructional adaptation rather than general relational dynamics.

Digital Intelligence

Digital intelligence represents a proposed extension to Howard Gardner's theory of multiple intelligences, proposed in the early 2000s by Gardner's colleague Antonio Battro, as a response to the increasing influence of digital technologies on and interaction. This intelligence encompasses the capacity to perceive, understand, and manipulate digital symbol systems, enabling individuals to solve problems and create products valued within digital cultures. Gardner has referenced this proposal by Battro, who has indicated how it may meet the criteria for a distinct , particularly in light of evolving technological demands. Key components of digital intelligence include coding, which requires logical structuring of algorithms and programming to build software; virtual navigation, involving spatial orientation and efficient traversal of and virtual environments; multimedia literacy, the skill to interpret, produce, and digital content across formats like video, audio, and ; and ethical interaction, focusing on responsible behaviors such as data privacy, combating , and fostering positive digital communities. These elements build on foundational intelligences while addressing unique digital challenges. Individuals exhibiting strong digital intelligence demonstrate adaptability to diverse technological interfaces, rapidly acquiring proficiency with new devices and platforms, and the ability to synthesize disparate data from digital sources like databases, social networks, and search engines into coherent analyses or innovations. This intelligence thrives on , allowing the brain to reorganize neural pathways in response to repeated digital engagement, thereby enhancing in tech-saturated contexts. In his 2011 book Truth, Beauty, and Goodness Reframed, Gardner explores how digital evolution reshapes human virtues and learning in the . However, as of May 2025, Gardner has expressed , stating he would vote against the assertion of a distinct "digital intelligence." Prominent examples include tech innovator , who at age 12 developed ZuckNet, an early system using , and later coded the initial version of in 2004 from his Harvard dorm room, demonstrating exceptional coding and virtual community-building skills. Relevant careers encompass cybersecurity specialists, who ethically navigate and defend against digital threats, and app developers, who integrate user data synthesis with creative interface design to produce functional mobile applications. Digital intelligence often intersects with logical-mathematical intelligence in problem-solving aspects like coding.

Applications

Educational Practices

The theory of multiple intelligences has significantly influenced educational practices by promoting curricula that incorporate diverse activities to engage students' varied strengths, moving away from traditional lecture-based models toward more holistic approaches. In particular, multiple intelligences-based curricula emphasize , where students explore themes through interdisciplinary projects that activate different intelligences, such as linguistic, spatial, and interpersonal skills. This method fosters collaboration, real-world application, and personalized growth, as seen in early implementations during the 1980s and 1990s in U.S. schools. For instance, the Key Learning Community in , founded in 1987 as a K-12 magnet program, was the first school worldwide to fully integrate Howard Gardner's theory, using theme-based projects that balanced core academics with arts, , and foreign languages to cultivate all intelligences equally. Similarly, the emergence of MI-focused charter schools in the 1990s, such as those inspired by Gardner's framework, extended these practices by prioritizing in public education settings. A core application of the involves differentiation, where educators tailor instruction to individual profiles rather than applying a uniform approach to all learners. This strategy includes offering multiple entry points into lessons—such as visual aids for spatial intelligence, group discussions for interpersonal intelligence, or hands-on experiments for bodily-kinesthetic intelligence—to accommodate diverse needs and enhance . on differentiated classrooms highlights how incorporating student choice in activities aligned with multiple intelligences improves motivation and accommodates varying readiness levels without diluting content standards. By assessing students' dominant intelligences through observations or inventories, teachers can adapt assignments, ensuring that instruction is inclusive and responsive to cultural and cognitive diversity. In assessment, multiple intelligences theory advocates shifting from standardized tests, which primarily measure logical-mathematical and linguistic intelligences, to portfolios that capture a broader range of abilities over time. Portfolios allow students to compile evidence of growth across intelligences, including artwork, performances, and reflective journals, providing a more comprehensive evaluation of learning than single-sitting exams. Programs like the Key Learning Community supplement required standardized testing with portfolios to demonstrate holistic development, aligning assessments with the theory's emphasis on multifaceted talents. MI charter schools have adopted similar practices, using portfolios to track progress in plans. In the 2020s, multiple intelligences theory has been integrated into STEM and STEAM education to promote inclusivity for diverse learners, including those from underrepresented backgrounds. STEAM curricula incorporate arts alongside , , , and math to engage multiple intelligences, such as using musical or kinesthetic elements in coding projects to broaden participation. Classroom demonstrates that STEAM approaches enhance compound intelligences, improving 21st-century skills like and among students. This evolution addresses equity by designing inclusive activities that value non-traditional intelligences in technical fields.

Broader Psychological and Professional Uses

In clinical psychology, the theory of multiple intelligences (MI) has been integrated into therapeutic practices to support personal development by emphasizing clients' diverse strengths rather than deficits. Counselors use MI assessments to identify individual profiles across the eight intelligences, tailoring interventions to foster self-awareness and resilience; for instance, activities targeting interpersonal or intrapersonal intelligences can strengthen therapeutic alliances. This approach gained traction in the 2000s through tools like the Multiple Intelligences Developmental Assessment Scales (MIDAS), which evaluate strengths for goal-setting in therapy sessions. In , MI theory aids in matching individuals' intelligence profiles to suitable professions, expanding beyond traditional IQ-based assessments to consider holistic abilities. Practitioners apply MI frameworks to guide clients toward roles aligning with dominant intelligences, such as linguistic intelligence for writing careers or spatial intelligence for fields, thereby improving and retention. For example, the Multiple Intelligences Interest Inventory () complements interest-based tools by linking cognitive preferences to vocational paths, as validated in studies on adolescents and adults. Within organizational settings, MI theory informs team-building strategies by leveraging intelligence diversity to optimize and productivity. Organizations assess members' MI profiles to assign roles that capitalize on complementary strengths, such as combining logical-mathematical and interpersonal intelligences for problem-solving tasks. A systematic of 45 studies underscores how multiple intelligences contribute to outcomes, including and , by promoting balanced skill distributions.

Criticisms and Empirical Status

Conceptual Challenges

Critics of the theory of multiple intelligences have argued that it dilutes the traditional concept of by reclassifying a wide array of human abilities and talents as distinct "intelligences," thereby blurring the lines between cognitive capacities and other psychological constructs. In the 1980s, Robert J. Sternberg, developer of the , contended that Gardner's framework essentially relabels skills such as musical aptitude or athletic prowess as forms of intelligence, stretching the definition beyond its core meaning of problem-solving and adaptation in novel situations. This expansion, according to Sternberg, risks conflating innate cognitive processes with domain-specific talents that do not necessarily predict general intellectual functioning, thus undermining the theory's scientific rigor. A related conceptual challenge concerns the lack of clear boundaries between the proposed intelligences and established personality traits, particularly those outlined in the Big Five model (openness, , extraversion, , and ). Studies examining self-reported multiple intelligences have revealed substantial overlaps, with all eight intelligences correlating positively with and several showing links to extraversion and , suggesting that the theory may inadvertently capture personality dimensions rather than independent cognitive modules. For instance, interpersonal intelligence exhibits correlations with extraversion and , while intrapersonal intelligence aligns with aspects of , raising questions about whether Gardner's intelligences represent unique faculties or merely facets of broader trait structures. This overlap complicates the theory's claim of modularity, as it implies that what is labeled as intelligence might be better understood through personality frameworks that emphasize stable dispositional tendencies over specialized abilities. Responses in the 1990s and 2000s included cross-cultural studies that sought to validate and adapt the framework, such as applications in diverse educational contexts in and , where naturalistic and interpersonal intelligences were emphasized to align with local values. These efforts highlighted the theory's flexibility but also underscored ongoing debates about whether its core criteria for identifying intelligences—such as potential isolation by brain damage or evolutionary utility—are universally applicable or inherently shaped by Gardner's sociocultural lens. From a neo-Piagetian perspective, theorists like Andreas Demetriou in the critiqued the multiple intelligences model for overemphasizing the of domains at the expense of in . Demetriou's theory posits a multilevel structure where general processing efficiency, hypercognitive , and domain-specific systems interact progressively, contrasting with Gardner's relatively independent modules by arguing that emerges from integrated, age-related advancements rather than isolated faculties. This hierarchical view challenges the non-unitary nature of multiple intelligences, suggesting that apparent domain differences reflect variations in processing speed and representational capacity rather than fundamentally separate intelligences, thus favoring a more unified developmental trajectory.

Empirical Evidence and Validity

Early research in the and 2000s provided initial support for the theory of multiple intelligences (MI) through studies, particularly (fMRI), which suggested modular brain processing for distinct cognitive domains. For instance, a comprehensive review of 318 reports identified unique neural patterns for each of Gardner's eight intelligences, with linguistic and logical-mathematical intelligences showing the strongest ties to general (g), while others like musical and bodily-kinesthetic exhibited more specialized activations in regions such as the temporal lobes and . These findings, drawn from experiments spanning the to , aligned with MI's premise of semi-independent neural modules, as evidenced by differential activations during tasks like spatial navigation or interpersonal . However, key critiques emerged highlighting the theory's limited empirical foundation. A 2006 review by Waterhouse analyzed available data and concluded that no published studies offered validating for MI, with weak or absent correlations between proposed intelligences and traditional cognitive measures, such as those for music and spatial skills. Furthermore, the absence of MI-specific psychometric tests and meta-analyses underscored the theory's untestable nature, as revealed overlapping neural pathways across domains rather than discrete modules. This lack of robust validation persisted, with critics noting that MI assessments often failed to predict real-world outcomes independently of g. In the and , longitudinal and experimental studies in yielded mixed results on MI's practical benefits. A of 75 studies on MI-based instruction reported a large (d = 1.077) on , suggesting improved outcomes in diverse subjects through tailored activities, though effects varied by educational level and showed no long-term retention advantages in some trials. research during this period incorporated , with over 500 neuroscientific reports, including fMRI and resting-state studies, demonstrating adaptive neural networks that support MI's emphasis on cultivating specific strengths, such as through in kinesthetic tasks. European educational studies explored MI integration but found inconsistent gains in student engagement and performance over multi-year periods. Regarding validity, MI has demonstrated poorer predictive power for academic and professional outcomes compared to the g-factor. Reviews from the in the early , building on psychometric data, affirmed g's superior correlation with success metrics like job performance (r ≈ 0.5-0.6), while MI profiles explained minimal unique variance beyond g. A 2018 synthesis of neuroscientific noted that although MI identifies domain-specific talents, its lack of standardized tests limits predictive utility, with g remaining the dominant factor in longitudinal achievement predictions. More recent critiques, such as a 2023 analysis in , have labeled MI a "neuromyth" due to insufficient for independent neural modules supporting distinct intelligences, though proponents argue it remains valuable for educational . As of 2025, ongoing debates highlight the theory's lack of empirical rigor in assessments while noting its influence on inclusive practices. Despite these challenges, recent studies suggest MI's framework may enhance targeted interventions, though empirical rigor remains a concern.

Comparisons to Alternative Theories

The theory of multiple intelligences (MI), developed by in 1983, fundamentally differs from Charles Spearman's , introduced in 1904, which emphasizes a single general factor (g) that accounts for correlations across diverse cognitive tasks, alongside specific factors (s) unique to particular abilities. Spearman's model, rooted in of early 20th-century psychometric data, views as a hierarchical, unitary construct where g represents core mental energy driving performance, implying that traditional IQ tests can effectively capture overall intellectual capacity. In opposition, MI posits a pluralistic framework of eight or more independent intelligences—such as linguistic, logical-mathematical, and spatial—each operating as distinct modules without a dominant general factor, challenging the reduction of to a single score and highlighting domain-specific strengths. Robert J. Sternberg's , outlined in 1985, offers another contrast by dividing intelligence into three interdependent components: analytical (problem-solving and academic skills), creative (novel idea generation and adaptation), and practical (real-world application and ). While Sternberg's model expands beyond traditional IQ by incorporating contextual and experiential elements, it maintains a tripartite structure focused on processes rather than Gardner's broader, content-domain-based intelligences, such as musical or bodily-kinesthetic, which do not align neatly with Sternberg's categories. This difference underscores MI's emphasis on innate, culturally influenced modalities versus Sternberg's view of intelligence as shaped by environmental demands. Daniel Goleman's popularization of (EI) in 1995 overlaps partially with MI, particularly in Gardner's interpersonal and intrapersonal intelligences, which involve understanding others' emotions and self-regulation, respectively. However, Goleman's EI framework, comprising , self-management, social awareness, and relationship management, is narrower and more skill-oriented, treating emotional competencies as learnable traits that enhance and interpersonal success, without encompassing MI's wider array of non-emotional domains like naturalistic or existential intelligence. MI thus provides a broader scope, integrating emotional aspects as two of several intelligences rather than a standalone construct central to overall effectiveness. The Cattell-Horn-Carroll (CHC) theory, synthesized by John B. Carroll in 1993 and refined through the , presents a hierarchical model with general (g) at the apex, broad abilities (e.g., reasoning, crystallized ) at an intermediate level, and narrow skills at the base, informing modern psychometric assessments like the Woodcock-Johnson tests. Unlike MI's non-hierarchical, modular approach, CHC integrates empirical to emphasize intercorrelations among abilities under g, viewing intelligences as interconnected rather than autonomous. Recent psychometric integrations in the have explored mapping MI domains onto CHC broad factors—for instance, aligning interpersonal intelligence with CHC's social processing abilities—but maintain CHC's empirical, testable over MI's more theoretical pluralism.

References

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