在线数学学习中情感检测介导自我报告动机变化:动机-情感调节模型的检验

Mei Shiu Chiu
{"title":"在线数学学习中情感检测介导自我报告动机变化:动机-情感调节模型的检验","authors":"Mei Shiu Chiu","doi":"10.57125/fed.2023.06.25.02","DOIUrl":null,"url":null,"abstract":"This study investigates relationships between detected affect during online learning and self-reports concerning motivational constructs in mathematics. Students reported their self-concept, interest, and values in mathematics before and after learning mathematics on an online intelligent tutoring system for one academic year over the autumn and spring semesters. Students’ experiences of engaged concentration, confusion, frustration, and boredom were detected using log files from the system. The participants included over 8,000 2nd- to 8th-grade students in the United States who used an intelligent tutoring system, Reasoning Mind, during the academic year of 2017-2018. Path analyses with mediating effects indicate that students initially perceiving high self-concept are less frustrated in both autumn and spring. Students interested in mathematics experience initial disengagement and later confusion in online mathematical problem-solving. This result calls for cross-platform support from teachers and system designs, especially for students interested in traditional mathematical teaching and learning. For theory, this study posits the Motivation-Affect Regulation (MAR) model, highlighting the mediating effects of motivation effect. Results find that the earlier self-concept can be mediated by fewer frustrations in online learning and lead to later self-concept. Interest triggers early disengagement and late confusion during online learning. Value is not mediated by affect. In methodology, structural equation modelling with mediating models offers opportunities to investigate more complex relationships when common measures are collected across time. Both offline pedagogical designs and online learning system designs need to consider the gaps between different formats of learning. Students with a high interest in learning mathematics in real classrooms may fail to adjust themselves easily to online mathematical problem-solving and experience disengagement in the early stages (one semester) and confusion in the stages (after one semester).","PeriodicalId":427861,"journal":{"name":"Futurity Education","volume":"63 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Detected Affect During Online Mathematics Learning Mediate Self-Report Motivation Changes: Examining a Motivation-Affect Regulation Model\",\"authors\":\"Mei Shiu Chiu\",\"doi\":\"10.57125/fed.2023.06.25.02\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study investigates relationships between detected affect during online learning and self-reports concerning motivational constructs in mathematics. Students reported their self-concept, interest, and values in mathematics before and after learning mathematics on an online intelligent tutoring system for one academic year over the autumn and spring semesters. Students’ experiences of engaged concentration, confusion, frustration, and boredom were detected using log files from the system. The participants included over 8,000 2nd- to 8th-grade students in the United States who used an intelligent tutoring system, Reasoning Mind, during the academic year of 2017-2018. Path analyses with mediating effects indicate that students initially perceiving high self-concept are less frustrated in both autumn and spring. Students interested in mathematics experience initial disengagement and later confusion in online mathematical problem-solving. This result calls for cross-platform support from teachers and system designs, especially for students interested in traditional mathematical teaching and learning. For theory, this study posits the Motivation-Affect Regulation (MAR) model, highlighting the mediating effects of motivation effect. Results find that the earlier self-concept can be mediated by fewer frustrations in online learning and lead to later self-concept. Interest triggers early disengagement and late confusion during online learning. Value is not mediated by affect. In methodology, structural equation modelling with mediating models offers opportunities to investigate more complex relationships when common measures are collected across time. Both offline pedagogical designs and online learning system designs need to consider the gaps between different formats of learning. Students with a high interest in learning mathematics in real classrooms may fail to adjust themselves easily to online mathematical problem-solving and experience disengagement in the early stages (one semester) and confusion in the stages (after one semester).\",\"PeriodicalId\":427861,\"journal\":{\"name\":\"Futurity Education\",\"volume\":\"63 3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Futurity Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.57125/fed.2023.06.25.02\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Futurity Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.57125/fed.2023.06.25.02","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本研究探讨了在线学习中情感检测与数学动机构念自我报告之间的关系。学生们在秋季学期和春季学期的一个学年中,通过在线智能辅导系统报告了学习数学之前和之后的数学自我概念、兴趣和价值观。使用系统的日志文件检测学生的专注、困惑、沮丧和无聊的经历。参与者包括8000多名美国二年级到八年级的学生,他们在2017-2018学年期间使用了智能辅导系统Reasoning Mind。具有中介效应的通径分析表明,初感自我概念高的学生在秋季和春季的挫败感都较低。对数学感兴趣的学生在解决在线数学问题时经历了最初的脱离和后来的困惑。这一结果需要教师和系统设计的跨平台支持,特别是对传统数学教学和学习感兴趣的学生。在理论方面,本研究提出了动机-影响调节(MAR)模型,突出了动机效应的中介作用。结果发现,网络学习中挫折的减少可以调节早期自我概念的形成,并导致后期自我概念的形成。在在线学习过程中,兴趣会引发早期的脱离,后期的困惑。价值不受情感的影响。在方法学上,结构方程建模与中介模型提供了机会,以调查更复杂的关系,当共同措施收集跨越时间。离线教学设计和在线学习系统设计都需要考虑不同学习形式之间的差距。对在真实课堂上学习数学有高度兴趣的学生可能不太容易适应在线数学解决问题,在早期阶段(一个学期)会感到脱离,在阶段(一个学期后)会感到困惑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detected Affect During Online Mathematics Learning Mediate Self-Report Motivation Changes: Examining a Motivation-Affect Regulation Model
This study investigates relationships between detected affect during online learning and self-reports concerning motivational constructs in mathematics. Students reported their self-concept, interest, and values in mathematics before and after learning mathematics on an online intelligent tutoring system for one academic year over the autumn and spring semesters. Students’ experiences of engaged concentration, confusion, frustration, and boredom were detected using log files from the system. The participants included over 8,000 2nd- to 8th-grade students in the United States who used an intelligent tutoring system, Reasoning Mind, during the academic year of 2017-2018. Path analyses with mediating effects indicate that students initially perceiving high self-concept are less frustrated in both autumn and spring. Students interested in mathematics experience initial disengagement and later confusion in online mathematical problem-solving. This result calls for cross-platform support from teachers and system designs, especially for students interested in traditional mathematical teaching and learning. For theory, this study posits the Motivation-Affect Regulation (MAR) model, highlighting the mediating effects of motivation effect. Results find that the earlier self-concept can be mediated by fewer frustrations in online learning and lead to later self-concept. Interest triggers early disengagement and late confusion during online learning. Value is not mediated by affect. In methodology, structural equation modelling with mediating models offers opportunities to investigate more complex relationships when common measures are collected across time. Both offline pedagogical designs and online learning system designs need to consider the gaps between different formats of learning. Students with a high interest in learning mathematics in real classrooms may fail to adjust themselves easily to online mathematical problem-solving and experience disengagement in the early stages (one semester) and confusion in the stages (after one semester).
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信