Visual learning: Difference between revisions

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{{short description|Learning style}}

{{multiple issues|

{{overly detailed|date=November 2016}}

{{technical|date=November 2016}}

{{too few opinions|date=November 2016}}

{{undue weight|date=November 2016}}

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'''Visual learning''' is one of the three basic types of learning styles described in theof [[Learning styles#Neil Fleming]]'s VAK/VARK model|Fleming VAK/VARK model]] in which ainformation learneris needspresented to ''see''a informationlearner in ordera tovisual process itformat. Visual Learnerslearners can utilize graphs, charts, maps, diagrams, and other forms of visual stimulation to effectively acquireinterpret information. The Fleming VAK/VARK model also includes [[kinestheticKinesthetic learning]]Learning and [[auditoryAuditory learning]].<ref>Leite, Walter L.; Svinicki, Marilla; and Shi, Yuying: ''Attempted Validation of the Scores of the VARK: Learning Styles Inventory With Multitrait–Multimethod Confirmatory Factor Analysis Models'', pgp. 2. SAGESage Publications, 2009.</ref> There is no evidence that providing visual materials to students identified as having a visual style improves learning.

==Techniques==

[[File:Famous People and Their Inventions.jpg|thumb|right|Famous people showing their inventions]]

A review study concluded that using [[graphic organizer]]s improves student performance in the following areas:<ref name = review>{{cite web|url=http://www.inspiration.com/sites/default/files/documents/Detailed-Summary.pdf |title=Graphic Organizers: A Review of Scientifically Based Research, The Institute for the Advancement of Research in Education at AEL}}</ref>

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; Reading comprehension

: The use of graphic organizers helps improve thereading [[reading comprehension|comprehension]] of students.<ref name = review />

; Student achievement

: Students with and without [[learning disabilities]] improve achievementperformance across content areas and grade levels.<ref name = review />

; Thinking and learning skills; critical thinking

: When students develop and use a graphic organizer their [[Higher-order thinking|higher order thinking]] and [[critical thinking]] skills are enhanced.<ref name = review />

==Areas of the brain affected==

Various areas of the [[brain]] work together in a multitude ofmany ways in order to produce the images that we see with our eyes and that are encoded by our brains. The basis of this work takes place in the [[visual cortex]] of the brain. The visual cortex is located in the [[occipital lobe]] of the brain and harbors many other structures that aid in [[Object recognition (cognitive science)|visual recognition]], categorization, and learning. One of the first things the brain must do when acquiring new visual information is to recognize theit. incoming material. Brain areas involved in recognition are the [[inferior temporal cortex]], the superior [[parietal cortex]], and the [[cerebellum]]. During recognition tasks of recognition, thereactivation is increased activationincreases in the left inferior temporal cortex, and decreased activationdecreases in the right superior parietal cortex. Recognition is aided by [[neural plasticity]], or the brain's ability to reshape itself based on new information.<ref>[[Russell Poldrack|Poldrack, R.]], Desmond, J., [[Gary H. Glover|Glover, G.]], & [[John Gabrieli|Gabrieli, J.]] "The Neural Basis of Visual Skill Learning: An fMRI Study of Mirror Reading". ''Cerebral Cortex''. Jan/Feb 1998.</ref> Next the brain must categorize the material. Theusing the three main areas that are used when categorizing new visual information are: the [[orbitofrontal cortex]] and two [[dorsolateral prefrontal]] regions which begin the process of sorting new information into groups and further assimilating that information into things that you might already know.<ref>Vogel, R., Sary, G., Dupont, P., Orban, G. ''Human Brain Regions Involved in Visual Categorization''. Elsevier Science (USAUS) 2002.</ref>

After recognizing and categorizing new material entered into the [[visual field]], the brain is ready to begin the [[Encoding (memory)|encoding]] process – the process whichthat leads to learning. Multiple brain areas are involved in this process such as the [[frontal lobe]], the right [[extrastriate cortex]], the [[neocortex]], and again, the [[neostriatum]]. One area in particular, the [[limbic]]-diencephalic region, is essential for transforming perceptions into memories.<ref>Squire, L. "Declarative and Nondeclarative Memory: Multiple Brain Systems Supporting Learning and Memory". 1992 Massachusetts Institute of Technology. ''Journal of Cognitive Neuroscience'' 4.3.</ref> With the coming together of tasks of recognition, categorization, and learning; [[schema (psychology)|schema]]s help make the process of encoding new information and relating it to things you already know much easier. One can remember visual images much better when theyapplying can apply itthem to an already -known schema. Schemas actually provide enhancement of [[visual memory]] and learning.<ref>Lord, C. "Schemas and Images as Memory Aids: Two Modes of Processing Social Information". Stanford University. 1980. American Psychological Association.</ref>

==Infancy==

===Where it starts===

Between the fetal stage and 18 months, a baby experiences rapid growth of a substance called [[gray matter]]. Gray matter is the darker tissue of the brain and spinal cord, consisting mainly of nerve cell bodies and branching dendrites.<ref>Google{{citation definition.needed|date=June (2013, November 12). Retrieved from Google.</ref>2022}} It is responsible for processing sensory information in the brain such as areas like the primary visual cortex. The primary visual cortex is located within the occipital lobe in the back of infant's brain and is responsible for processing visual information such as static or moving objects and pattern recognition.

===The four pathways===

Within the primary visual cortex, there are four pathways: the [[superior colliculus]] pathway (SC pathway), the middle temporal area pathway (MT pathway), the [[frontal eye fields]] pathway (FEF pathway), and the inhibitory pathway. Each pathway is crucial to the development of visual attention in the first few months of life.

The SC pathway is responsible for the generation of eye movements toward simple stimuli. It receives information from the retina and the visual cortex and can direct behavior toward an object. The MT pathway is involved in the smooth tracking of objects and travels between the SC pathway and the primary visual cortex. In conjunction with the SC pathway and the MT pathway, the FEF pathway allows the infant to control eye movements as well as visual attention. It also plays a part in sensory processing in the infant.

Lastly, the inhibitory pathway regulates the activity in the superior colliculus and, is later, is responsible for obligatory attention in the infant. The maturation and functionality of these pathways depends on how well the infant can make distinctions as well as focus on stimuli.

===Supporting studies===

A study by Haith, Hazan, & Goodman in 1988 showed that babies, as young as 3.5 months, are able to create short-term expectations of situations they confront. Expectations in this study refer to the cognitive and perceptual ways in which an infant can forecast a future event. This was tested by showing the infant either a predictable pattern of slides or an irregular pattern of slides and tracking the infant's [[eye movement]]s.<ref>Haith, M. M., Hazan, C., & Goodman, G. S. (1988). "Expectation and Anticipation of Dynamic Visual Events by 3.5 Month Old Babies". ''Child Development'', 59, 467-479467–479.</ref>

A later study by Johnson, Posner, & Rothbart in 1991 showed that by 4 months old, infants can develop expectations,. butThis was tested through anticipatory looks and disengagement with stimuli. For example, anticipatory looks exhibitportray the infant isas being able to predict the next part of a pattern which can then be applied to the real world scenario of breast-feeding. Infants are able to predict a mother's movements and expect feeding so they can latch onto the nipple for feeding. Expectations, anticipatory looks, and disengagement all show that infants can learn visually, even if it is only short term.<ref>Johnson, M. H., Posner, M. I., & Rothbart, M. K. (1991). "Components of Visual Orienting in Early Infancy: Contingency Learning, Anticipatory Looking, and Disengaing". ''Journal of Cognitive Neuroscience'', 335-344335–344</ref> David Roberts (2016) tested multimedia learning propositions, he found that using certain images dislocates pedagogically harmful excesses of text, reducing cognitive overloading and exploiting under-used visual processing capacities <ref>{{Cite web|url=http://www.dracs.org/|title=David Roberts Academic Consulting|last=|first=|date=|website=vl.catalystitsolutions.co.uk|publisher=|access-date=2017-01-04}}</ref>

David Roberts (2016) tested multimedia learning propositions, he found that using certain images dislocates pedagogically harmful excesses of text, reducing cognitive overloading and exploiting under-used visual processing capacities <ref>{{Cite web|url=http://www.dracs.org/|title=David Roberts Academic Consulting|website=vl.catalystitsolutions.co.uk|access-date=2017-01-04}}</ref>

==In early childhood==

From the ages 3–8, visual learning improves and begins to take many different forms. At the toddler age of 3–5, children's bodily actions structure the visual learning environment. At this age, toddlers are using their newly developed sensory-motor skills quite often and fusing them with their improved vision to understand the world around them. This is seen by toddler'stoddlers using their arms to bring objects of interest close to their sensors, such as their eyes and facefaces, to explore the object further. The act of bringing objects close to their face affects their immediate view by placing their mental and visual attention on that object and just blocking the view of other objects that are around them and out of view. There is an emphasis placed on objects and things that are directly in front of them and thus proximal vision is the primary perspective of visual learning. This is different from how adults utilize visual learning. This difference in toddler vision and adult vision is attributable to their body sizes, and body movements such that their visual experiences are created by their body movement. An adults view is broad, due to their larger body size, with most objects in view because of the distance between them and objects. Adults tend to scan a room, and see everything rather than focusing on one object only.<ref>Smith, L.B., Yu, C., & Pereira, A. F. (2011). Not your mother's view: The dynamics of toddler visual experience. Developmental science, 14(1), 9-17.</ref>

There is an emphasis placed on objects and things that are directly in front of them and thus proximal vision is the primary perspective of visual learning. This is different from how adults utilize visual learning. This difference in toddler vision and adult vision is attributable to their body sizes, and body movements such that their visual experiences are created by their body movement. An adult's view is broad due to their larger body size, with most objects in view because of the distance between them and objects. Adults tend to scan a room, and see everything rather than focusing on one object only.<ref>Smith, L.B., Yu, C., & Pereira, A. F. (2011). "Not your mother's view: The dynamics of toddler visual experience". ''Developmental science'', 14(1), 9–17.</ref>

The way a child integrates visual learning with motor experiences enhances their perceptual and cognitive development.<ref>Bertenthal, B. I., Campos, J. J., & Kermoian, R. (1994). An epigenetic perspective on the development of self-produced locomotion and its consequences. Current Directions in Psychological Science, 3(5), 140-145.</ref> For elementary school children, aged 4–11, intellect is positively related to their level of auditory-visual integrative proficiency. The most significant period for the development of auditory-visual integration occurs between ages 5–7. During this time, the child has mastered visual-kinesthetic integration, and the child's visual learning can be applied to formal learning focused towards books and reading, rather than physical objects, thus impacting their intellect. As reading scores increase, children are able to learn more, and their visual learning has developed to not only focus on physical objects in close proximity to them, but also to interpret words and such to acquire knowledge by reading.<ref>Birch, H. G., & Belmont, L. (1965). Auditory-visual integration, intelligence and reading ability in school children. Perceptual and Motor Skills, 20(1), 295-305.</ref>

The way a child integrates visual learning with motor experiences enhances their perceptual and cognitive development.<ref>Bertenthal, B. I., Campos, J. J., & Kermoian, R. (1994). "An epigenetic perspective on the development of self-produced locomotion and its consequences". ''Current Directions in Psychological Science'', 3(5), 140-145140–145.</ref> For elementary school children, aged 4–11, intellect is positively related to their level of auditory-visual integrative proficiency. The most significant period for the development of auditory-visual integration occurs between ages 5–7. During this time, the child has mastered visual-kinesthetic integration, and the child's visual learning can be applied to formal learning focused towards books and reading, rather than physical objects, thus impacting their intellect. As reading scores increase, children are able to learn more, and their visual learning has developed to not only focus on physical objects in close proximity to them, but also to interpret words and as such to acquire knowledge by reading.<ref>Birch, H. G., & Belmont, L. (1965). "Auditory-visual integration, intelligence and reading ability in school children". ''Perceptual and Motor Skills'', 20(1), 295-305295–305.</ref>

==In middle childhood==

Here we categorize middle childhood as ages 9 to 14. By this stage in a child's normal development, vision is sharp and learning processes are well underway. Most studies that have focused their efforts on visual learning have found that visual learning styles as opposed to traditional learning styles greatly improve the totality of a student's learning experience. First offFirstly, visual learning engages students, andnote that student engagement is one of the most important factors that motivatedmotivate students to learn. Visuals increase student interest with the use of graphics animation and video. Consequently, it has been found that students pay greater attention to lecture material when visuals are used. With increased attention to lesson material, many positive outcomes have been seen with the use of visual tactics in the classrooms of middle-aged students.

Students organize and process information more thoroughly when they learn visually which helps them to understand the information better. Studentsand they are more likely to remember information that is learned with a visual aid.<ref>Beeland, W. "Student Engagement, Visual Learning, and Technology: Can Interactive Whiteboards Help?" (2001). Theses and Dissertations from Valdosta State University Graduate School.</ref> WhenResearch shows that when teachers used visual tactics to teach middle-aged students they found that students had more positive attitudes about the material they were learning.<ref name="Farkas">Farkas, R. "Effects of Traditional Versus Learning-Styles Instructional Methods on Middle School Students" ''The Journal of Educational Research''. Vol. 97, No. 1 (Sep. -– Oct., 2003), pp. 42-5142–51.</ref> Students also exemplified higher test performance, higher standard achievement scores, thinking on levels that require higher-order thinking, and more engagement. One study also found that learning about emotional events, such as the Holocaust, with visual aids increase middle- aged children's empathy.<ref name="Farkas" />

==In adolescence==

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===Brain maturation into young adulthood===

Gray matter is responsible for generating [[nerve impulse]]s that process brain information, and [[white matter]] is responsible for transmitting that brain information between lobes and out through the spinal cord. Nerve impulses are transmitted by [[myelin]], a fatty material that grows around a cell. White matter has a myelin sheath (a collection of myelin) while gray matter doesn't,does not which efficiently allows neural impulses to move swiftly along the fiber. The myelin sheath isn't fully formed until around ages 24–26.<ref>Wolfe, Pat. (2001). "Brain Matters: Translating the Research to Classroom Practice". ''ASCD'': 1-2071–207</ref> This means that adolescents and young adults typically learn differently, and subsequently often utilize [[visual aid]]s in order to help them better comprehend difficult subjects.{{citation needed|date=July 2016}}

Learning preferences can vary across a wide spectrum. Specifically, within the realm of visual learning, they can vary between people who prefer being given learning instructions with text as opposed to those who prefer being given instructions with graphics. College students were tested in general factors like learning preference and [[spatial ability]] (being able to be proficient in creating, holding, and manipulating spatial representations).<ref>Mayer, R. E., & Massa, L. J. (2003). "Three Facets of Visual and Verbal Learners: Cognitive Ability, Cognitive Style, and Learning Preference". ''Journal of educationalEducational psychologyPsychology'', 95(4), 833.</ref> The study determined that college-age individuals report efficient learning styles and learning preferences for themselves individually. These personal assessments have proved accurate, meaning that self-ratings of factors such as spatial ability and learning preference can be effective measures of how well one learns visually.{{citation needed|date=July 2016}}

===Gender differences===

Studies have indicated that adolescents learn best through 10 various styles;: reading, manipulative activity, teacher explanation, auditory stimulation, visual demonstration, visual stimulation (electronic), visual stimulation (just pictures), games, social interaction, and personal experience.<ref>Eiszler, C. F. (1982). "Perceptual Preferences as an Aspect of Adolescent Learning Styles".</ref> According to the study, young adult males demonstrate a preference for learning through activities they are able to manipulate, andwhile young adult females show a greater preference for learning through teacher notes visually or by using graphs, and through reading. This suggests that Womenwomen are more visually stimulated, interested in information that they can have physical direct control over. Men, on the other hand, learn best through reading information and having it explained inby an auditoryspoken fashionword.

==Lack of evidence==

Although learning styles have "enormous popularity", and both children and adults express personal preferences, there is no evidence that identifying a student's learning style produces better outcomes,. and thereThere is significant evidence thatagainst the widely touted "meshing hypothesis" (that a student will learn best if taught in a method deemed appropriate for that student's learning style) is invalid.<ref name=Pashler>{{cite journal

|title=Learning Styles: Concepts and Evidence

|issn=1539-6053

|journal=Psychological Science in the Public Interest

|doi= 10.1111/j.1539-6053.2009.01038.x

|pmid=26162104

|volume= 9

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==See also==

{{Portal|PhilosophyEducation|Psychology}}

* [[Learning styles]]

** [[Auditory learning]]

** [[Kinesthetic learning]]

* [[Filmstrip]]

* [[Slide show]]

==References==

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* [http://www.visuallearningstyles.com Articles and resources about the visual learning style for students and instructors]

* [http://www.studyingstyle.com/visual-learners.html More tips for visual learners]

* [http://www.variquest.com/literature.htm Visual learning information]

{{Authority control}}

{{DEFAULTSORT:Visual Learning}}

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[[Category:Infographics]]

[[Category:Information technology management]]

[[Category:Educational psychology]]

[[Category:Neuro-linguistic programming concepts and methods]]