Table 1 Intelligence Types and Preferred Learning Strategies |
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Gardner’s Theory of Multiple Intelligences
Howard Gardner’s theory of multiple intelligences is widely known and utilized in educational settings. Gardner rejects the notion that intelligence as measured by IQ tests is relevant, and instead believes that people have very different ways of learning based on how they individually process information. His theory is based upon twenty year of extensive research into neurological processing. Professional educators need to be aware of these multiple forms of intelligence, to assess the students they have in front of them at any given time, and design curriculum that offers forms of learning compatible with their types. To do this, the educator must be flexible enough to modify and adapt materials to optimize the learning of each group, while still accomplishing the learning objectives of the lesson. Gardner identifies the seven following forms of intelligence as shown in Table 1.
Gardner believes that these types of intelligence are a result of a neurological predisposition in individuals, and that these operate within discrete sections in the cerebral cortex. Different types of problems are primarily controlled in either the dominant hemisphere of the brain’s cortex or the non-dominant hemisphere (2.1.4 From Synapses to Learning—Understanding Brain Processes). Neurological studies have shown that individuals who are given the same stimuli and placed in the same circumstances use different areas of the brain initially, indicating that they are using different portions of their brains to analyze the same problems (Gardner, 1993). Figure 1 presents a conceptual model of lobe functions correlated with characteristics of the multiple intelligences.
Differentiate Multiple Intelligence from Learning Styles
Gardner stresses that it is important not to confuse conceptualization of multiple intelligences with learning styles. Learning styles are primarily described in terms of processing preferences, which are automatic and based upon habituation of routines. This type of processing is mediated by the midbrain structures of the brain, not the cerebral cortex. The multiple intelligence preference is a function of the analysis of incoming information. While there may be tendencies for learners to prefer and use a learning style compatible with their multiple intelligence, e.g. musical intelligence and auditory learning style, this is not always the case. A person with a musical intelligence preference could also effectively utilize a visual or kinesthetic strategy based upon his or her unique makeup. Some learners switch processing styles to more effectively perform different types of tasks.
Optimizing Learning Experiences with Actual Learners
Many educators realize that learners integrate stimuli in an individualized fashion and that, therefore, instructors can create successful interventions by providing optimal experiences and by offering a variety of learning materials (Lazear, 1991). This is believed to provide the “just right challenge” (Ayers, 1982) so that learners create lasting, relevant knowledge when they engage in the learning by processing it and solving problems in their own ways. Today’s learners must also cope with the increase in material presented online and in other non-traditional formats; they must scrutinize more information in order to construct academically sound concepts (Tapscott, 1998). The types of intelligence needed to be successful in this environment are different from those previously needed.
Curriculum can be intentionally designed to create opportunities for learning to be elevated to higher levels. Quality instruction includes opportunities for learners to gain skills in the cognitive, psychomotor, and affective domains (2.2.1 Bloom’s Taxonomy—Expanding its Meaning). If instruction does not address all three, then it is incomplete, and lack of progression in one domain will impede the quality of learning in the other two. Additionally, if meaning is not ascribed to cognitive “book learning,” it is unlikely that the learner will be able to apply and use this knowledge in real life situations and in the workplace (Lefebvre-Diaz, 1999). Individuals who possess certain intelligence preferences might more easily, or “naturally,” grasp some types of information, e.g. mechanical problems and bodily kinesthetic or family group dynamics and interpersonal intelligence. In order for professional educators to be successful with all learners, they need to be creative in redesigning their classrooms and facilitation techniques, incorporating “just in time” interventions.
Process Education and Multiple Intelligences
Gardner’s theory of multiple intelligence fits well within Process Education. The first of the ten principles of Process Education states, “Every learner can learn to learn better, regardless of current level of achievement; one’s potential is not limited by current ability” (2.3.1 Introduction to Process Education). Consideration of all forms of intelligence helps avoid unintentional marginalizing. If individual learners cannot make learning their own, particularly if there is a mismatch between the manner in which material is presented and their intelligence type, then the learner may not actually integrate knowledge. Because it is central to the beliefs of Process Education to empower learners to ultimately assume responsibility for their own learning, such a mismatch would be viewed as having dire consequences. If learners cannot make material meaningful, then it is doubtful that any real growth has occurred (2.2.4 Differentiating Knowledge from Growth). As the educator is creating learning experiences it is imperative that they select activities that include learning in all the intelligences areas so that all learners achieve holistic, integrated learning (3.1.2 Introduction to Learning Communities). In Process Education, instructors strive to create self-growers who actively engage in the learning process. in order for this to occur, instructors design opportunities for learners to engage and actively integrate learning in a variety of settings (3.1.1 Overview of Quality Learning Environments). Table 2 provides a sampling of common Process Education tools and practices that support the respective types of intelligence.
Concluding Thoughts
The individual nature and makeup of the human brain is more and more evident as we continue discovering the mysteries of how we function as human beings. Each learner is a unique entity with a drive to improve and contribute. As educators it is important for us to stay current with new information related to how the human brain works. The more we understand the functioning of the human brain and dominant patterns, the better we understand the learners who come before us, and the more we, ourselves, continue to grow.
References
Ayres, A. J. (1982). Sensory integration and the child. Los Angeles: Western Psychological Services.
Bertoti, D. (2004). Functional neurorehabilitation through the life span. Philadelphia: F. A. Davis.
Curtis, B. A. (1990). Neurosciences: The basics. Philadelphia: Lea & Febiger.
Gardner, H. (1993). Multiple intelligences: The theory in practice. New York: Basic Books.
Lazear, D. (1991). Seven ways of knowing: Teaching for multiple intelligences. Palatine, IL: Skylight.
Lefebvre-Diaz, R (1999). Coloring outside the lines: Applying multiple intelligences and creativity in learning. Hoboken, NJ: Wiley.
Tapscott, D. (1998). Growing up digital: The rise of the net generation. New York: McGrawHill.
Intelligence Type |
Process Education Learning Activities |
Linguistic |
Team processing, verbal sharing, group reporting |
Bodily-Kinesthetic |
Process-Oriented Guided-Inquiry Learning, integrated performance |
Logical-Mathematical |
Methodologies, process analysis |
Spatial |
Storyboarding, information processing activities, visual representations of knowledge clusters |
Interpersonal |
Team work, mentoring, group role playing |
Intrapersonal |
Reflecting, assessment, self-assessment |
Musical |
Mnemonic memory devices, integrating motor, analysis and synthesis of patterns & clusters in learning |
Intelligence |
Lobe |
Function of Lobe Related to the Intelligence |
Linguistic |
Frontal |
Voluntary muscle movement, particularly fine motor, attention, abstract thinking, problem solving, left frontal lobe - motor aspects of speech, right frontal lobe plays a role in non-verbal communication such as tone of voice and use of gestures (Bertoti, 2004) |
Temporal |
Receives/processes auditory stimuli from the auditory receptors in the inner ear. (Curtis, 1990) Wernicke’s area controls language comprehension. Left temporal lobe extends to comprehension, naming, verbal memory, and other language functions Semantics both in speech and vision Contributes to the perceptions of complex patterns such as some emotional and motivational behaviors |
|
Occipital |
Visual aspects of writing Receives/processes visual stimuli color, visual fixation, form discrimination, figure ground perception, spatial relations |
|
Bodily Kinesthetic |
Frontal |
Primary motor cortex for voluntary muscle activation, particularly fine motor movements. Cognitive functions (executive functions) judgment, reasoning, attention, problem solving, planning, abstract thinking (Bertoti, 2004), initiative Plays a part in spatial orientation |
Parietal |
Primary sensory cortex for integration of sensation from the skin (Bertoti, 2004) touch, pressure, temperature, pain, muscle-strength receptors, joint receptors, visual and spatial tasks |
|
Logical-mathematical |
Frontal |
Problem solving, abstract thinking (Bertoti, 2004), language tasks of math, reasoning, attention, planning, tasks that require the integration of information over time, ability to determine similarities and differences between things or events, ability to recognize future consequences resulting from current actions |
Temporal |
High-level visual processing of complex stimuli, language-based areas of math, plays a role in number skills |
|
Parietal |
Mathematical abilities, visual and spatial tasks |
|
Spatial |
Parietal |
Visual and spatial tasks, shape dimensions |
Occipital |
Primary visual cortex judging distances, seeing in three dimensions, receives/processes visual stimuli Perception color, shape, and movement, orientation to one’s environment and the objects within it, visual processing skills, visual fixation, form discrimination, figure ground perception, spatial relations |
|
Interpersonal |
Frontal |
Social behavior impulse control, ability to judge social situations, socialization, spontaneity, ability to override and suppress unacceptable social responses Believed to be the location of personality |
Temporal |
Wernicke’s area controls language comprehension. left temporal lobe extends to comprehension, naming, verbal memory, and other language functions Memory formation, high-level visual processing of complex stimuli such as faces (fusiform gyrus), object perception and recognition, control of spatial memory and behavior contributes to the perceptions of complex patterns such as some emotional and motivational behaviors |
|
Intrapersonal |
Frontal |
Believed to be the location of personality Cognitive Functions (executive functions) judgment, reasoning, problem solving, planning, abstract thinking (Bertoti, 2004), initiative Tasks that require the integration of information over time, ability to determine similarities and differences between things or events, emotional functions |
Temporal |
Primary auditory cortex Receives/processes auditory stimuli from the auditory receptors in the inner ear (Curtis, 1990) Wernicke’s area controls language comprehension left temporal lobe extends to comprehension, naming, verbal memory, and other language functions Semantics both in speech and vision contributes to the perceptions of complex patterns such as some emotional and motivational behaviors |
|
Musical |
Temporal |
Primary auditory cortex Receives/processes auditory stimuli from the auditory receptors in the inner ear (Curtis, 1990), recognition of auditory stimuli Wernicke’s area controls language comprehension left temporal lobe extends to comprehension, naming, verbal memory and other language functions, language-based areas of math, plays a role in number and language skill, contributes to the perceptions of complex patterns such as some emotional and motivational behaviors |
Frontal |
Primary motor cortex for voluntary muscle activation, particularly fine motor movements. Complex chains of motor movement Cognitive functions (executive functions) judgment, reasoning, attention, problem solving, planning, abstract thinking (Bertoti, 2004), initiative Right frontal lobe plays a role in non-verbal communication such as tone of voice and use of gestures (Bertoti, 2004) |
|
Parietal |
Visual and spatial tasks, mathematical abilities |