Relationship between skill training and skill transfer through the example of bimanual motor learning
Skill training aims to improve the performance of the task at hand and aims to transfer the acquired skill to related tasks. Both skill training and skill transfer are part of our everyday lives, and essential for survival, and their importance is reflected in years of research. Despite these enormo...
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Veröffentlicht in: | The European journal of neuroscience 2024-01, Vol.59 (1), p.54-68 |
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description | Skill training aims to improve the performance of the task at hand and aims to transfer the acquired skill to related tasks. Both skill training and skill transfer are part of our everyday lives, and essential for survival, and their importance is reflected in years of research. Despite these enormous efforts, however, the complex relationship between skill training and skill transfer is not yet portrayed completely. Building upon two theories, we probed this relationship through the example of bimanual learning with a large cross‐sectional design (N = 450) using an online framework. We designed five training tasks which differed in the variance of the training material (schema theory) and three transfer tasks differing in their similarity to the training task (identical elements theory).
Theoretically, the five training tasks and the three transfer tasks varied approximately linearly from each other. Empirical data, however, suggested merely the presence of three statistically different training tasks and two significantly different transfer tasks, indicating a nonlinear relationship. Against our expectation, Bayesian statistics suggested that the type of skill training was not related to the type of skill transfer. However, the amount of skill training was positively related to the amount of skill transfer.
Together, we showed that motor learning studies can be conducted online. Further, our results shed light on the complex relationship between skill training and skill transfer. Understanding this relationship has wide‐ranging practical implications for the general population, particularly for musicians, athletes and patients recovering from injury.
We probed the relationship between skill training and transfer through the example of bimanual motor learning in an online framework. Five training tasks differing in the variance of the training material (schema theory), and three transfer tasks differing in their similarity to the training task (identical elements theory) were used in 450 individuals. Against our expectation, Bayesian statistics suggested that the type of skill training was not related to the type of skill transfer. |
doi_str_mv | 10.1111/ejn.16194 |
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Theoretically, the five training tasks and the three transfer tasks varied approximately linearly from each other. Empirical data, however, suggested merely the presence of three statistically different training tasks and two significantly different transfer tasks, indicating a nonlinear relationship. Against our expectation, Bayesian statistics suggested that the type of skill training was not related to the type of skill transfer. However, the amount of skill training was positively related to the amount of skill transfer.
Together, we showed that motor learning studies can be conducted online. Further, our results shed light on the complex relationship between skill training and skill transfer. Understanding this relationship has wide‐ranging practical implications for the general population, particularly for musicians, athletes and patients recovering from injury.
We probed the relationship between skill training and transfer through the example of bimanual motor learning in an online framework. Five training tasks differing in the variance of the training material (schema theory), and three transfer tasks differing in their similarity to the training task (identical elements theory) were used in 450 individuals. Against our expectation, Bayesian statistics suggested that the type of skill training was not related to the type of skill transfer.</description><identifier>ISSN: 0953-816X</identifier><identifier>EISSN: 1460-9568</identifier><identifier>DOI: 10.1111/ejn.16194</identifier><identifier>PMID: 38081160</identifier><language>eng</language><publisher>France: Wiley Subscription Services, Inc</publisher><subject>Bayesian analysis ; bimanual motor coordination ; motor learning ; Motor skill ; Motor skill learning ; online study ; Training ; transfer</subject><ispartof>The European journal of neuroscience, 2024-01, Vol.59 (1), p.54-68</ispartof><rights>2023 The Authors. published by Federation of European Neuroscience Societies and John Wiley & Sons Ltd.</rights><rights>2023 The Authors. European Journal of Neuroscience published by Federation of European Neuroscience Societies and John Wiley & Sons Ltd.</rights><rights>2023. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c4034-c73cb48c47618037cc33b90e280fd420c4a51e2862a243c8b797f025b5b8b1eb3</cites><orcidid>0000-0002-0705-9297</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fejn.16194$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fejn.16194$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>230,314,777,781,882,1412,27905,27906,45555,45556</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38081160$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Schoenfeld, Marleen J.</creatorcontrib><creatorcontrib>Thom, Jude</creatorcontrib><creatorcontrib>Williams, Jade</creatorcontrib><creatorcontrib>Stagg, Charlotte J.</creatorcontrib><creatorcontrib>Zich, Catharina</creatorcontrib><title>Relationship between skill training and skill transfer through the example of bimanual motor learning</title><title>The European journal of neuroscience</title><addtitle>Eur J Neurosci</addtitle><description>Skill training aims to improve the performance of the task at hand and aims to transfer the acquired skill to related tasks. Both skill training and skill transfer are part of our everyday lives, and essential for survival, and their importance is reflected in years of research. Despite these enormous efforts, however, the complex relationship between skill training and skill transfer is not yet portrayed completely. Building upon two theories, we probed this relationship through the example of bimanual learning with a large cross‐sectional design (N = 450) using an online framework. We designed five training tasks which differed in the variance of the training material (schema theory) and three transfer tasks differing in their similarity to the training task (identical elements theory).
Theoretically, the five training tasks and the three transfer tasks varied approximately linearly from each other. Empirical data, however, suggested merely the presence of three statistically different training tasks and two significantly different transfer tasks, indicating a nonlinear relationship. Against our expectation, Bayesian statistics suggested that the type of skill training was not related to the type of skill transfer. However, the amount of skill training was positively related to the amount of skill transfer.
Together, we showed that motor learning studies can be conducted online. Further, our results shed light on the complex relationship between skill training and skill transfer. Understanding this relationship has wide‐ranging practical implications for the general population, particularly for musicians, athletes and patients recovering from injury.
We probed the relationship between skill training and transfer through the example of bimanual motor learning in an online framework. Five training tasks differing in the variance of the training material (schema theory), and three transfer tasks differing in their similarity to the training task (identical elements theory) were used in 450 individuals. Against our expectation, Bayesian statistics suggested that the type of skill training was not related to the type of skill transfer.</description><subject>Bayesian analysis</subject><subject>bimanual motor coordination</subject><subject>motor learning</subject><subject>Motor skill</subject><subject>Motor skill learning</subject><subject>online study</subject><subject>Training</subject><subject>transfer</subject><issn>0953-816X</issn><issn>1460-9568</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><recordid>eNp1kVtvFCEYhonR2LV64R8wJN7Yi2k5DcPcmJimJ9NoYjTxjgD7zS4rA1uYsfbfS922HhK5IcCThxdehF5SckjrOIJNPKSS9uIRWlAhSdO3Uj1GC9K3vFFUft1Dz0rZEEKUFO1TtMcVUZRKskDwCYKZfIpl7bfYwnQNEHH55kPAUzY--rjCJi5_b8UyQMbTOqd5ta4zYPhhxm0AnAZs_WjibAIe05QyDmDyreE5ejKYUODF3byPvpyefD4-by4_nl0cv7tsnCBcNK7jzgrlRCepIrxzjnPbE2CKDEvBiBOmpXUlmWGCO2W7vhsIa21rlaVg-T56u_NuZzvC0kGsgYPe5hor3-hkvP77JPq1XqXvul5Yv6yvgjd3gpyuZiiTHn1xEIKJkOaiWU9Y30lGWEVf_4Nu0pxjfV6laAU7ItpKHewol1MpGYaHMJTo2_J0LU__Kq-yr_5M_0Det1WBox1w7QPc_N-kT95_2Cl_AqMipSw</recordid><startdate>202401</startdate><enddate>202401</enddate><creator>Schoenfeld, Marleen J.</creator><creator>Thom, Jude</creator><creator>Williams, Jade</creator><creator>Stagg, Charlotte J.</creator><creator>Zich, Catharina</creator><general>Wiley Subscription Services, Inc</general><scope>24P</scope><scope>WIN</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QP</scope><scope>7QR</scope><scope>7TK</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-0705-9297</orcidid></search><sort><creationdate>202401</creationdate><title>Relationship between skill training and skill transfer through the example of bimanual motor learning</title><author>Schoenfeld, Marleen J. ; Thom, Jude ; Williams, Jade ; Stagg, Charlotte J. ; Zich, Catharina</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4034-c73cb48c47618037cc33b90e280fd420c4a51e2862a243c8b797f025b5b8b1eb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Bayesian analysis</topic><topic>bimanual motor coordination</topic><topic>motor learning</topic><topic>Motor skill</topic><topic>Motor skill learning</topic><topic>online study</topic><topic>Training</topic><topic>transfer</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Schoenfeld, Marleen J.</creatorcontrib><creatorcontrib>Thom, Jude</creatorcontrib><creatorcontrib>Williams, Jade</creatorcontrib><creatorcontrib>Stagg, Charlotte J.</creatorcontrib><creatorcontrib>Zich, Catharina</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Wiley Free Content</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>The European journal of neuroscience</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Schoenfeld, Marleen J.</au><au>Thom, Jude</au><au>Williams, Jade</au><au>Stagg, Charlotte J.</au><au>Zich, Catharina</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Relationship between skill training and skill transfer through the example of bimanual motor learning</atitle><jtitle>The European journal of neuroscience</jtitle><addtitle>Eur J Neurosci</addtitle><date>2024-01</date><risdate>2024</risdate><volume>59</volume><issue>1</issue><spage>54</spage><epage>68</epage><pages>54-68</pages><issn>0953-816X</issn><eissn>1460-9568</eissn><abstract>Skill training aims to improve the performance of the task at hand and aims to transfer the acquired skill to related tasks. Both skill training and skill transfer are part of our everyday lives, and essential for survival, and their importance is reflected in years of research. Despite these enormous efforts, however, the complex relationship between skill training and skill transfer is not yet portrayed completely. Building upon two theories, we probed this relationship through the example of bimanual learning with a large cross‐sectional design (N = 450) using an online framework. We designed five training tasks which differed in the variance of the training material (schema theory) and three transfer tasks differing in their similarity to the training task (identical elements theory).
Theoretically, the five training tasks and the three transfer tasks varied approximately linearly from each other. Empirical data, however, suggested merely the presence of three statistically different training tasks and two significantly different transfer tasks, indicating a nonlinear relationship. Against our expectation, Bayesian statistics suggested that the type of skill training was not related to the type of skill transfer. However, the amount of skill training was positively related to the amount of skill transfer.
Together, we showed that motor learning studies can be conducted online. Further, our results shed light on the complex relationship between skill training and skill transfer. Understanding this relationship has wide‐ranging practical implications for the general population, particularly for musicians, athletes and patients recovering from injury.
We probed the relationship between skill training and transfer through the example of bimanual motor learning in an online framework. Five training tasks differing in the variance of the training material (schema theory), and three transfer tasks differing in their similarity to the training task (identical elements theory) were used in 450 individuals. Against our expectation, Bayesian statistics suggested that the type of skill training was not related to the type of skill transfer.</abstract><cop>France</cop><pub>Wiley Subscription Services, Inc</pub><pmid>38081160</pmid><doi>10.1111/ejn.16194</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-0705-9297</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Bayesian analysis bimanual motor coordination motor learning Motor skill Motor skill learning online study Training transfer |
title | Relationship between skill training and skill transfer through the example of bimanual motor learning |
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