Cognitive Load Theory and Human Movement: Towards an Integrated Model of Working Memory
Cognitive load theory (CLT) applies what is known about human cognitive architecture to the study of learning and instruction, to generate insights into the characteristics and conditions of effective instruction and learning. Recent developments in CLT suggest that the human motor system plays an i...
Gespeichert in:
Veröffentlicht in: | Educational psychology review 2019-06, Vol.31 (2), p.293-317 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 317 |
---|---|
container_issue | 2 |
container_start_page | 293 |
container_title | Educational psychology review |
container_volume | 31 |
creator | Sepp, Stoo Howard, Steven J. Tindall-Ford, Sharon Agostinho, Shirley Paas, Fred |
description | Cognitive load theory (CLT) applies what is known about human cognitive architecture to the study of learning and instruction, to generate insights into the characteristics and conditions of effective instruction and learning. Recent developments in CLT suggest that the human motor system plays an important role in cognition and learning; however, it is unclear whether models of working memory (WM) that are typically espoused by CLT researchers can reconcile these novel findings. For instance, often-cited WM models envision separate information processing systems—such as Baddeley and Hitch's (1974) multicomponent model of WM—as a means to interpret modality-specific findings, although possible interactions with the human motor system remain under-explained. In this article, we examine the viability of these models to theoretically integrate recent research findings regarding the human motor system, as well as their ability to explain established CLT effects and other findings. We argue, it is important to explore alternate models of WM that focus on a single and integrated control of attention system that is applied to visual, phonological, embodied, and other sensory and nonsensory information. An integrated model such as this may better account for individual differences in experience and expertise and, parsimoniously, explain both recent and historical CLT findings across domains. To advance this aim, we propose an integrated model of WM that envisions a common and finite attentional resource that can be distributed across multiple modalities. How attention is mobilized and distributed across domains is interdependent, coreinforcing, and ever-changing based on learners' prior experience and their immediate cognitive demands. As a consequence, the distribution of attentional focus and WM resources will vary across individuals and tasks, depending on the nature of the specific task being performed; the neurological, developmental, and experiential abilities of the individual; and the current availability of internal and external cognitive resources. |
doi_str_mv | 10.1007/s10648-019-09461-9 |
format | Article |
fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_2175717069</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A713723218</galeid><ericid>EJ1217390</ericid><jstor_id>45133332</jstor_id><sourcerecordid>A713723218</sourcerecordid><originalsourceid>FETCH-LOGICAL-c402t-6bbc56fbf8e979beb5d245647a20ed43f29b60a4e60c9c65b4abd102bf7cd5dd3</originalsourceid><addsrcrecordid>eNqNkE9v1DAQxSMEEqX0C1RCssQ5Zfwn9ppbtSpt0VZcFrU3y47HIcvGLna2qN--LkHlin3wyL95b0avaU4pnFEA9alQkGLVAtUtaCFpq181R7RTvOVc3r2uNQhoFZN3b5t3pewAQCvBj5rbdRriOI8PSDbJerL9gSk_Ehs9uTpMNpKb9IATxvkz2abfNvtSGbmOMw7Zzugr97gnKZDblH-OcSA3OFWH982bYPcFT_6-x833Lxfb9VW7-XZ5vT7ftL0ANrfSub6TwYUVaqUdus4z0UmhLAP0ggemnQQrUEKve9k5YZ2nwFxQve-858fNx8X3PqdfByyz2aVDjnWkYVR1iiqQunadLV2D3aMZY0hztn29HqexTxHDWP_PFeWKcUZXVcAWQZ9TKRmDuc_jZPOjoWCeEzdL4qYmbv4kbp6nfFhEmMf-RXDxldZNuIbK-cJLZXHA_G_X_3HdlTnlF1vRUV4P40-wdZbB</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2175717069</pqid></control><display><type>article</type><title>Cognitive Load Theory and Human Movement: Towards an Integrated Model of Working Memory</title><source>JSTOR Archive Collection A-Z Listing</source><source>Education Source</source><source>SpringerNature Journals</source><creator>Sepp, Stoo ; Howard, Steven J. ; Tindall-Ford, Sharon ; Agostinho, Shirley ; Paas, Fred</creator><creatorcontrib>Sepp, Stoo ; Howard, Steven J. ; Tindall-Ford, Sharon ; Agostinho, Shirley ; Paas, Fred</creatorcontrib><description>Cognitive load theory (CLT) applies what is known about human cognitive architecture to the study of learning and instruction, to generate insights into the characteristics and conditions of effective instruction and learning. Recent developments in CLT suggest that the human motor system plays an important role in cognition and learning; however, it is unclear whether models of working memory (WM) that are typically espoused by CLT researchers can reconcile these novel findings. For instance, often-cited WM models envision separate information processing systems—such as Baddeley and Hitch's (1974) multicomponent model of WM—as a means to interpret modality-specific findings, although possible interactions with the human motor system remain under-explained. In this article, we examine the viability of these models to theoretically integrate recent research findings regarding the human motor system, as well as their ability to explain established CLT effects and other findings. We argue, it is important to explore alternate models of WM that focus on a single and integrated control of attention system that is applied to visual, phonological, embodied, and other sensory and nonsensory information. An integrated model such as this may better account for individual differences in experience and expertise and, parsimoniously, explain both recent and historical CLT findings across domains. To advance this aim, we propose an integrated model of WM that envisions a common and finite attentional resource that can be distributed across multiple modalities. How attention is mobilized and distributed across domains is interdependent, coreinforcing, and ever-changing based on learners' prior experience and their immediate cognitive demands. As a consequence, the distribution of attentional focus and WM resources will vary across individuals and tasks, depending on the nature of the specific task being performed; the neurological, developmental, and experiential abilities of the individual; and the current availability of internal and external cognitive resources.</description><identifier>ISSN: 1040-726X</identifier><identifier>EISSN: 1573-336X</identifier><identifier>DOI: 10.1007/s10648-019-09461-9</identifier><language>eng</language><publisher>New York: Springer</publisher><subject>Attention Control ; Child and School Psychology ; Cognition & reasoning ; Cognitive Ability ; Cognitive dissonance ; Cognitive load ; Cognitive Processes ; Difficulty Level ; Education ; Educational Psychology ; Individual Differences ; Information Processing ; Instructional Effectiveness ; Learning ; Learning and Instruction ; Memory ; Motion ; Motor ability ; Psychomotor Skills ; REVIEW ARTICLE ; Short Term Memory</subject><ispartof>Educational psychology review, 2019-06, Vol.31 (2), p.293-317</ispartof><rights>Springer Science+Business Media, LLC part of Springer Nature 2019</rights><rights>Springer Science+Business Media, LLC, part of Springer Nature 2019</rights><rights>COPYRIGHT 2019 Springer</rights><rights>Educational Psychology Review is a copyright of Springer, (2019). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c402t-6bbc56fbf8e979beb5d245647a20ed43f29b60a4e60c9c65b4abd102bf7cd5dd3</citedby><cites>FETCH-LOGICAL-c402t-6bbc56fbf8e979beb5d245647a20ed43f29b60a4e60c9c65b4abd102bf7cd5dd3</cites><orcidid>0000-0002-0509-4603</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/45133332$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/45133332$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>315,782,786,805,27933,27934,41497,42566,51328,58026,58259</link.rule.ids><backlink>$$Uhttp://eric.ed.gov/ERICWebPortal/detail?accno=EJ1217390$$DView record in ERIC$$Hfree_for_read</backlink></links><search><creatorcontrib>Sepp, Stoo</creatorcontrib><creatorcontrib>Howard, Steven J.</creatorcontrib><creatorcontrib>Tindall-Ford, Sharon</creatorcontrib><creatorcontrib>Agostinho, Shirley</creatorcontrib><creatorcontrib>Paas, Fred</creatorcontrib><title>Cognitive Load Theory and Human Movement: Towards an Integrated Model of Working Memory</title><title>Educational psychology review</title><addtitle>Educ Psychol Rev</addtitle><description>Cognitive load theory (CLT) applies what is known about human cognitive architecture to the study of learning and instruction, to generate insights into the characteristics and conditions of effective instruction and learning. Recent developments in CLT suggest that the human motor system plays an important role in cognition and learning; however, it is unclear whether models of working memory (WM) that are typically espoused by CLT researchers can reconcile these novel findings. For instance, often-cited WM models envision separate information processing systems—such as Baddeley and Hitch's (1974) multicomponent model of WM—as a means to interpret modality-specific findings, although possible interactions with the human motor system remain under-explained. In this article, we examine the viability of these models to theoretically integrate recent research findings regarding the human motor system, as well as their ability to explain established CLT effects and other findings. We argue, it is important to explore alternate models of WM that focus on a single and integrated control of attention system that is applied to visual, phonological, embodied, and other sensory and nonsensory information. An integrated model such as this may better account for individual differences in experience and expertise and, parsimoniously, explain both recent and historical CLT findings across domains. To advance this aim, we propose an integrated model of WM that envisions a common and finite attentional resource that can be distributed across multiple modalities. How attention is mobilized and distributed across domains is interdependent, coreinforcing, and ever-changing based on learners' prior experience and their immediate cognitive demands. As a consequence, the distribution of attentional focus and WM resources will vary across individuals and tasks, depending on the nature of the specific task being performed; the neurological, developmental, and experiential abilities of the individual; and the current availability of internal and external cognitive resources.</description><subject>Attention Control</subject><subject>Child and School Psychology</subject><subject>Cognition & reasoning</subject><subject>Cognitive Ability</subject><subject>Cognitive dissonance</subject><subject>Cognitive load</subject><subject>Cognitive Processes</subject><subject>Difficulty Level</subject><subject>Education</subject><subject>Educational Psychology</subject><subject>Individual Differences</subject><subject>Information Processing</subject><subject>Instructional Effectiveness</subject><subject>Learning</subject><subject>Learning and Instruction</subject><subject>Memory</subject><subject>Motion</subject><subject>Motor ability</subject><subject>Psychomotor Skills</subject><subject>REVIEW ARTICLE</subject><subject>Short Term Memory</subject><issn>1040-726X</issn><issn>1573-336X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkE9v1DAQxSMEEqX0C1RCssQ5Zfwn9ppbtSpt0VZcFrU3y47HIcvGLna2qN--LkHlin3wyL95b0avaU4pnFEA9alQkGLVAtUtaCFpq181R7RTvOVc3r2uNQhoFZN3b5t3pewAQCvBj5rbdRriOI8PSDbJerL9gSk_Ehs9uTpMNpKb9IATxvkz2abfNvtSGbmOMw7Zzugr97gnKZDblH-OcSA3OFWH982bYPcFT_6-x833Lxfb9VW7-XZ5vT7ftL0ANrfSub6TwYUVaqUdus4z0UmhLAP0ggemnQQrUEKve9k5YZ2nwFxQve-858fNx8X3PqdfByyz2aVDjnWkYVR1iiqQunadLV2D3aMZY0hztn29HqexTxHDWP_PFeWKcUZXVcAWQZ9TKRmDuc_jZPOjoWCeEzdL4qYmbv4kbp6nfFhEmMf-RXDxldZNuIbK-cJLZXHA_G_X_3HdlTnlF1vRUV4P40-wdZbB</recordid><startdate>20190601</startdate><enddate>20190601</enddate><creator>Sepp, Stoo</creator><creator>Howard, Steven J.</creator><creator>Tindall-Ford, Sharon</creator><creator>Agostinho, Shirley</creator><creator>Paas, Fred</creator><general>Springer</general><general>Springer US</general><general>Springer Nature B.V</general><scope>7SW</scope><scope>BJH</scope><scope>BNH</scope><scope>BNI</scope><scope>BNJ</scope><scope>BNO</scope><scope>ERI</scope><scope>PET</scope><scope>REK</scope><scope>WWN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>3V.</scope><scope>7XB</scope><scope>88B</scope><scope>88G</scope><scope>8A4</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>CJNVE</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>M0P</scope><scope>M2M</scope><scope>PQEDU</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0002-0509-4603</orcidid></search><sort><creationdate>20190601</creationdate><title>Cognitive Load Theory and Human Movement: Towards an Integrated Model of Working Memory</title><author>Sepp, Stoo ; Howard, Steven J. ; Tindall-Ford, Sharon ; Agostinho, Shirley ; Paas, Fred</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c402t-6bbc56fbf8e979beb5d245647a20ed43f29b60a4e60c9c65b4abd102bf7cd5dd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Attention Control</topic><topic>Child and School Psychology</topic><topic>Cognition & reasoning</topic><topic>Cognitive Ability</topic><topic>Cognitive dissonance</topic><topic>Cognitive load</topic><topic>Cognitive Processes</topic><topic>Difficulty Level</topic><topic>Education</topic><topic>Educational Psychology</topic><topic>Individual Differences</topic><topic>Information Processing</topic><topic>Instructional Effectiveness</topic><topic>Learning</topic><topic>Learning and Instruction</topic><topic>Memory</topic><topic>Motion</topic><topic>Motor ability</topic><topic>Psychomotor Skills</topic><topic>REVIEW ARTICLE</topic><topic>Short Term Memory</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sepp, Stoo</creatorcontrib><creatorcontrib>Howard, Steven J.</creatorcontrib><creatorcontrib>Tindall-Ford, Sharon</creatorcontrib><creatorcontrib>Agostinho, Shirley</creatorcontrib><creatorcontrib>Paas, Fred</creatorcontrib><collection>ERIC</collection><collection>ERIC (Ovid)</collection><collection>ERIC</collection><collection>ERIC</collection><collection>ERIC (Legacy Platform)</collection><collection>ERIC( SilverPlatter )</collection><collection>ERIC</collection><collection>ERIC PlusText (Legacy Platform)</collection><collection>Education Resources Information Center (ERIC)</collection><collection>ERIC</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Education Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Education Periodicals</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Education Collection</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Education Database</collection><collection>Psychology Database</collection><collection>ProQuest One Education</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><jtitle>Educational psychology review</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sepp, Stoo</au><au>Howard, Steven J.</au><au>Tindall-Ford, Sharon</au><au>Agostinho, Shirley</au><au>Paas, Fred</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><ericid>EJ1217390</ericid><atitle>Cognitive Load Theory and Human Movement: Towards an Integrated Model of Working Memory</atitle><jtitle>Educational psychology review</jtitle><stitle>Educ Psychol Rev</stitle><date>2019-06-01</date><risdate>2019</risdate><volume>31</volume><issue>2</issue><spage>293</spage><epage>317</epage><pages>293-317</pages><issn>1040-726X</issn><eissn>1573-336X</eissn><abstract>Cognitive load theory (CLT) applies what is known about human cognitive architecture to the study of learning and instruction, to generate insights into the characteristics and conditions of effective instruction and learning. Recent developments in CLT suggest that the human motor system plays an important role in cognition and learning; however, it is unclear whether models of working memory (WM) that are typically espoused by CLT researchers can reconcile these novel findings. For instance, often-cited WM models envision separate information processing systems—such as Baddeley and Hitch's (1974) multicomponent model of WM—as a means to interpret modality-specific findings, although possible interactions with the human motor system remain under-explained. In this article, we examine the viability of these models to theoretically integrate recent research findings regarding the human motor system, as well as their ability to explain established CLT effects and other findings. We argue, it is important to explore alternate models of WM that focus on a single and integrated control of attention system that is applied to visual, phonological, embodied, and other sensory and nonsensory information. An integrated model such as this may better account for individual differences in experience and expertise and, parsimoniously, explain both recent and historical CLT findings across domains. To advance this aim, we propose an integrated model of WM that envisions a common and finite attentional resource that can be distributed across multiple modalities. How attention is mobilized and distributed across domains is interdependent, coreinforcing, and ever-changing based on learners' prior experience and their immediate cognitive demands. As a consequence, the distribution of attentional focus and WM resources will vary across individuals and tasks, depending on the nature of the specific task being performed; the neurological, developmental, and experiential abilities of the individual; and the current availability of internal and external cognitive resources.</abstract><cop>New York</cop><pub>Springer</pub><doi>10.1007/s10648-019-09461-9</doi><tpages>25</tpages><orcidid>https://orcid.org/0000-0002-0509-4603</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1040-726X |
ispartof | Educational psychology review, 2019-06, Vol.31 (2), p.293-317 |
issn | 1040-726X 1573-336X |
language | eng |
recordid | cdi_proquest_journals_2175717069 |
source | JSTOR Archive Collection A-Z Listing; Education Source; SpringerNature Journals |
subjects | Attention Control Child and School Psychology Cognition & reasoning Cognitive Ability Cognitive dissonance Cognitive load Cognitive Processes Difficulty Level Education Educational Psychology Individual Differences Information Processing Instructional Effectiveness Learning Learning and Instruction Memory Motion Motor ability Psychomotor Skills REVIEW ARTICLE Short Term Memory |
title | Cognitive Load Theory and Human Movement: Towards an Integrated Model of Working Memory |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-11-30T06%3A53%3A00IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Cognitive%20Load%20Theory%20and%20Human%20Movement:%20Towards%20an%20Integrated%20Model%20of%20Working%20Memory&rft.jtitle=Educational%20psychology%20review&rft.au=Sepp,%20Stoo&rft.date=2019-06-01&rft.volume=31&rft.issue=2&rft.spage=293&rft.epage=317&rft.pages=293-317&rft.issn=1040-726X&rft.eissn=1573-336X&rft_id=info:doi/10.1007/s10648-019-09461-9&rft_dat=%3Cgale_proqu%3EA713723218%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2175717069&rft_id=info:pmid/&rft_galeid=A713723218&rft_ericid=EJ1217390&rft_jstor_id=45133332&rfr_iscdi=true |