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“Because I'm Bad at the Game!” A Microanalytic Study of Self Regulated Learning in League of Legends

Self-regulated learning (SRL) is a form of learning guided by the student's own meta-cognition, motivation, and strategic action, often in the absence of an educator. The use of SRL processes and skills has been demonstrated across numerous academic and non-academic contexts including athletics...

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Autores principales: Kleinman, Erica, Gayle, Christian, Seif El-Nasr, Magy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8675904/
https://www.ncbi.nlm.nih.gov/pubmed/34925183
http://dx.doi.org/10.3389/fpsyg.2021.780234
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author Kleinman, Erica
Gayle, Christian
Seif El-Nasr, Magy
author_facet Kleinman, Erica
Gayle, Christian
Seif El-Nasr, Magy
author_sort Kleinman, Erica
collection PubMed
description Self-regulated learning (SRL) is a form of learning guided by the student's own meta-cognition, motivation, and strategic action, often in the absence of an educator. The use of SRL processes and skills has been demonstrated across numerous academic and non-academic contexts including athletics. However, manifestation of these processes within esports has not been studied. Similar to traditional athletes, esports players' performance is likely correlated with their ability to engage SRL skills as they train. Thus, the study of SRL in the context of esports would be valuable in supporting players' learning and mastery of play through specialized training and computational support. Further, an understanding of how SRL manifests in esports would highlight new opportunities to use esports in education. Existing work on SRL in games, however, predominantly focuses on educational games. In this work, we aim to take a first step in the study of SRL in esports by replicating Kitsantas and Zimmerman's (2002) volleyball study in the context of League of Legends. We compared the self-regulatory processes of expert, non-expert, and novice League of Legends players, and found that there were significant differences for processes in the forethought phase. We discuss three implications of these findings: what they mean for the development of future computational tools for esports players, implications that esports may be able to teach SRL skills that transfer to academics, and what educational technology can learn from esports to create more effective tools.
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spelling pubmed-86759042021-12-17 “Because I'm Bad at the Game!” A Microanalytic Study of Self Regulated Learning in League of Legends Kleinman, Erica Gayle, Christian Seif El-Nasr, Magy Front Psychol Psychology Self-regulated learning (SRL) is a form of learning guided by the student's own meta-cognition, motivation, and strategic action, often in the absence of an educator. The use of SRL processes and skills has been demonstrated across numerous academic and non-academic contexts including athletics. However, manifestation of these processes within esports has not been studied. Similar to traditional athletes, esports players' performance is likely correlated with their ability to engage SRL skills as they train. Thus, the study of SRL in the context of esports would be valuable in supporting players' learning and mastery of play through specialized training and computational support. Further, an understanding of how SRL manifests in esports would highlight new opportunities to use esports in education. Existing work on SRL in games, however, predominantly focuses on educational games. In this work, we aim to take a first step in the study of SRL in esports by replicating Kitsantas and Zimmerman's (2002) volleyball study in the context of League of Legends. We compared the self-regulatory processes of expert, non-expert, and novice League of Legends players, and found that there were significant differences for processes in the forethought phase. We discuss three implications of these findings: what they mean for the development of future computational tools for esports players, implications that esports may be able to teach SRL skills that transfer to academics, and what educational technology can learn from esports to create more effective tools. Frontiers Media S.A. 2021-12-02 /pmc/articles/PMC8675904/ /pubmed/34925183 http://dx.doi.org/10.3389/fpsyg.2021.780234 Text en Copyright © 2021 Kleinman, Gayle and Seif El-Nasr. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Kleinman, Erica
Gayle, Christian
Seif El-Nasr, Magy
“Because I'm Bad at the Game!” A Microanalytic Study of Self Regulated Learning in League of Legends
title “Because I'm Bad at the Game!” A Microanalytic Study of Self Regulated Learning in League of Legends
title_full “Because I'm Bad at the Game!” A Microanalytic Study of Self Regulated Learning in League of Legends
title_fullStr “Because I'm Bad at the Game!” A Microanalytic Study of Self Regulated Learning in League of Legends
title_full_unstemmed “Because I'm Bad at the Game!” A Microanalytic Study of Self Regulated Learning in League of Legends
title_short “Because I'm Bad at the Game!” A Microanalytic Study of Self Regulated Learning in League of Legends
title_sort “because i'm bad at the game!” a microanalytic study of self regulated learning in league of legends
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8675904/
https://www.ncbi.nlm.nih.gov/pubmed/34925183
http://dx.doi.org/10.3389/fpsyg.2021.780234
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