nav emailalert searchbtn searchbox tablepage yinyongbenwen piczone journalimg journalInfo journalinfonormal searchdiv searchzone qikanlogo popupnotification paper paperNew
您当前所在位置: 首页> 文献列表> 混合学习中学习者动机增强的细粒度情感唤醒规律研究
2025, 10, No.465 104-113
混合学习中学习者动机增强的细粒度情感唤醒规律研究
基金项目(Foundation): 国家自然科学基金面上项目“协作学习中基于混合超图神经网络的多层级认知失调发现与协调机制研究”(项目编号:62477042); 浙江省教育科学规划重点课题“大模型赋能下基于共情型多智能体的学习者元认知增强机制构建与应用研究”(项目编号:2025SB136)研究成果
邮箱(Email):
DOI:
发布时间: 2025-10-10
出版时间: 2025-10-10
移动端阅读
摘要:

学习者动机与学习情感体验的协同作用是混合学习效能保障的重要基础。鉴于目前混合学习中学习者动机维持困难与情感激发不足等现实问题,该文探究混合学习中基于学习者动机增强的细粒度情感唤醒规律,设计混合学习中8类细粒度情感分类框架,从目标价值构成、期望成分、考试焦虑、认知与元认知策略、资源管理策略五方面衡量学习者动机水平,利用统计分析、滞后序列分析等方法揭示学习者动机水平与情感唤醒间关联关系。结果表明:混合学习中学习者整体情感演进呈现出以中性情感为主导,积极情感逐渐消退,消极情感增加的趋势。高动机学习者更易唤醒“享受”“自信”等积极情感,而低动机学习者易陷入“无聊”和“冷漠”等消极情感中。对于学习者情感唤醒转换序列,高动机组更易触发“困惑/好奇→心流、困惑→享受”情感转变;低动机组存在“自信→心流、心流→无聊”的显著性情感转换,此过程中“心流”即闪即退;而中动机组情感从“困惑”到“无聊/冷漠”的转变,表明需进一步强化学习动机。基于上述结果,该研究旨在为混合学习中学习动机的维持和关键情感转变给予有效干预提供借鉴。

Abstract:

The synergistic effect of learners' motivation and emotional experience is an important basis for ensuring the effectiveness of blended learning. Given the prevalent practical difficulties in maintaining learners' motivation and the insufficient emotional stimulation in blended learning, this paper explores the fine-grained emotional arousal patterns based on the learners' motivation enhancement in blended learning. An eight category fine-grained emotional classification framework for blended learning learners was designed, while learners' motivation levels are assessed through five dimensions: target value components, expectancy components, test anxiety, cognitive and metacognitive strategies and resource management strategies. Statistical analysis, lag sequence analysis are employed to reveal the correlation between motivation levels and emotional arousal. The results show that learners' overall emotional evolution trend in blended learning is dominated by neutral emotions, with positive emotions gradually fading and negative emotions increasing. Besides, high-motivation learners are more prone to arouse positive emotions such as “enjoyment” and “ confidence”, while low-motivation learners tend to fall into negative emotions such as “ boredom” and “ indifference”. Regarding emotional arousal transition sequences, high-motivation learners are more likely to trigger emotional transitions such as “ confusion/curiosity→flow, confusion → enjoyment”; low-motivation students have significant emotional transitions such as “ confidence → flow, flow →boredom”, in which “flow” flashes and then retreats; while the medium-motivation learners' emotions change from “confusion” to “boredom/indifference”, suggesting a need for further motivational reinforcement. Based on the above results, this study provides insights for effective interventions aimed at sustaining learner motivation and facilitating critical emotional transitions in blended learning.

参考文献

[1]中华人民共和国中央人民政府.中共中央国务院印发《教育强国建设规划纲要(2024-2035年)》[EB/OL].https://www.gov.cn/zhengce/202501/content_6999913.htm,2025-01-29.

[2]朱永海.深度学习视角下混合教学系统化设计与体系化模式构建[J].中国电化教育,2021,(11):77-87.

[3]尹睿,何淑茵.循证教学评价视角下混合学习投入评价研究[J].电化教育研究,2023,44(5):120-128.

[4] Wang F,Yin H,King R B.Profiling motivation and engagement in online learning:A multilevel latent profile analysis of students and institutions[J].Computers&Education,2025,227:105209.

[5]薛红果.在线学习环境下大学生学习动机与自我调控学习研究[J].中国电化教育,2023,(8):112-118.

[6]王凯,余发碧等.基于情绪识别技术的学科情感目标达成检测与教学改进[J].中国电化教育,2023,(6):83-89.

[7]徐振国,张冠文等,2019.基于深度学习的学习者情感识别与应用[J].电化教育研究(2):87-94.

[8] Eccles J,Wang M T.Part I commentary:So what is student engagement anyway?[M].Boston,MA:Springer US,2012.

[9] Pekrun R,Goetz T,et al.Academic emotions in students’ self-regulated learning and achievement:A program of qualitative and quantitative research[J].Educational Psychologist,2002,37(2):91-105.

[10]杨玉芹,袁凯程等.数据支持的反思性评价促进大学生认知情绪调节的应用研究[J].电化教育研究,2023,44(2):99-106.

[11] Csikszentmihalyi M, Csikzentmihaly M. Flow:The psychology of optimal experience[M].New York:Harper&Row,1990.

[12] Pekrun R,Vogl E,et al.Measuring emotions during epistemic activities:The epistemically-related emotion scales[J].Cognition and Emotion,2017,(6):1268-1276.

[13]周晨蕊,孙众等.基于移动社交的小学生英语口语学习效果研究[J].电化教育研究,2015,36(8):87-94.

[14]王雪,高泽红等.反馈的情绪设计对视频学习的影响机制研究[J].电化教育研究,2021,42(3):69-74.

[15] Gasper K,Hackenbracht J.Too busy to feel neutral:Reducing cognitive resources attenuates neutral affective states[J].Motivation and Emotion,2015,39:458-466.

[16] Carver C S.Approach,avoidance,and the self-regulation of affect and action[J].Motivation and Emotion,2006,30:105-110.

[17]刘哲雨,谷姣娣等.在线学习环境中学习困惑的发展研究——基于实证研究的系统性文献综述[J].远程教育杂志,2024,42(4):50-63.

[18] Graesser A C.Learning, thinking, and emoting with discourse technologies[J].American Psychologist,2011,66(8):746-757.

[19][44] D’Mello S. A selective meta-analysis on the relative incidence of discrete affective states during learning with technology[J]. Journal of Educational Psychology,2013,105(4):1082-1099.

[20][45]孙波,刘永娜等.智慧学习环境中基于面部表情的情感分析[J].现代远程教育研究,2015,(2):96-103.

[21][38] Dietrich J,Schmiedek F,Moeller J.Academic motivation and emotions are experienced in learning situations,so let’s study them.Introduction to the special issue[J].Learning and Instruction,2022,81:101623.

[22][58] Liu S, Liu S, et al. Automated detection of emotional and cognitive engagement in MOOC discussions to predict learning achievement[J].Computers&Education,2022,181:104461.

[23][59] Huang C Q,Han Z M,et al.Investigating students’ interaction patterns and dynamic learning sentiments in online discussions[J].Computers&Education,2019,140:103589.

[24][52]王云,李志霞等.在线讨论中动态学习情绪和认知行为序列的关系研究[J].电化教育研究,2020,41(6):60-67.

[25]左灿,齐梦梦等.专递课堂环境下学生的积极学业情绪对学习投入的影响研究[J].中国电化教育,2023,(9):91-100.

[26] Held T, Mejeh M, et al. Relationships between inter-and intra-individual emotions and learning outcomes of vocational students[J].Learning and Individual Differences,2025,120:102682.

[27] Jiang L,Niu X.A study on the learning emotions of EFL students in SPOC based blended learning in Chinese vocational colleges[J]. Scientific Reports,2025,15(1):15126.

[28] Ryan R M,Deci E L.Intrinsic and extrinsic motivations:Classic definitions and new directions[J].Contemporary Educational Psychology,2000,25(1):54-67.

[29] Pintrich P R,Conley A M M,Kempler T M.Current issues in achievement goal theory and research[J].International Journal of Educational Research,2003,39(4-5):319-337.

[30] Weiner B.An attributional theory of achievement motivation and emotion[J].Psychological Review,1985,92(4):548-573.

[31][51] Wigfield A,Eccles J S.Expectancy-value theory of achievement motivation[J].Contemporary Educational Psychology,2000,25(1):68-81.

[32] Pekrun R.Overcoming fragmentation in motivation science:Why,when,and how should we integrate theories?[J]. Educational Psychology Review,2024,36(1):27.

[33]范春林,张大均.学习动机研究的特点、问题及走向[J].教育研究,2007,(7):71-77.

[34]马秀麟,田淑敏等.基于行为投射的在线学习动机测量模型探究[J].电化教育研究,2024,45(8):43-50.

[35] Pintrich P R.A conceptual framework for assessing motivation and selfregulated learning in college students[J].Educational Psychology Review,2004,16:385-407.

[36] J?rvenoja H,J?rvel?S,Malmberg J.Supporting groups’ emotion and motivation regulation during collaborative learning[J].Learning and Instruction,2020,70:101090.

[37] Xu H.The role of positive learning emotions in sustaining cognitive motivation for multilingual development[J].System,2024,123:103323.

[39]黄志芳,周瑞婕等.混合学习环境下交互式课堂生态系统设计及实证研究[J].电化教育研究,2020,41(4):78-85.

[40]王一岩,塔卫刚等.“知情共育”智慧教育新范式:内涵与进路[J].电化教育研究,2025,46(2):19-25.

[41]景玉慧,沈书生.学习空间如何助力“以学习为中心”的教育——基于发生认识论和五维学习设计推演的一种路径[J].中国电化教育,2021,(11):54-60.

[42]冯玲玉,甄宗武等.“以学习活动为中心教学设计”视角下的混合式教学机理分析[J].电化教育研究,2021,42(11):100-106.

[43]袁薇.教育数字化战略下的混合式教学:再思考与再出发[J].中国远程教育,2024,44(12):76-85.

[46] Asan A,Aslan A.Quartile scores of scientific journals:Meaning,importance and usage[J].Acta Medica Alanya,2020,4(1):102-108.

[47] D’Mello S,Lehman B,et al.Confusion can be beneficial for learning[J].Learning and Instruction,2014,29:153-170.

[48]王改花,张李飞等.学习者特征对混合学习效果影响研究[J].开放教育研究,2021,27(1):71-83.

[49] Chen K C,Jang S J.Motivation in online learning:Testing a model of selfdetermination theory[J].Computers in Human Behavior,2010,26(4):741-752.

[50]高洁,李明军等.主动性人格与网络学习投入的关系——自我决定动机理论的视角[J].电化教育研究,2015,36(8):18-22+29.

[53] Lang Y,Gong S,et al.The Roles of Pedagogical Agent’s Emotional Support:Dynamics Between Emotions and Learning Strategies in Multimedia Learning[J].Journal of Educational Computing Research,2024,62(7):1705-1736.

[54] Han J,Geng X.University students’ approaches to online learning technologies:The roles of perceived support,affect/emotion and self-efficacy in technologyenhanced learning[J].Computers&Education,2023,194:104695.

[55] Craig S,Graesser A,et al.Affect and learning:an exploratory look into the role of affect in learning with Auto Tutor[J].Journal of Educational Media,2004,29(3):241-250.

[56] Wu H,Li S,et al.Medical students’ motivation and academic performance:the mediating roles of self-efficacy and learning engagement[J].Medical Education Online,2020,25(1):2-8.

[57]朱珂,李冰青等.网络学习空间中协同学习的触发机制及实证研究[J].中国电化教育,2018,(7):25-32+44.

[60] Pekrun R. Control-value theory:From achievement emotion to a general theory of human emotions[J].Educational Psychology Review,2024,36(3):83.

基本信息:

中图分类号:G434

引用信息:

[1]韩中美,占敏君,黄昌勤,等.混合学习中学习者动机增强的细粒度情感唤醒规律研究[J].中国电化教育,2025,No.465(10):104-113.

基金信息:

国家自然科学基金面上项目“协作学习中基于混合超图神经网络的多层级认知失调发现与协调机制研究”(项目编号:62477042); 浙江省教育科学规划重点课题“大模型赋能下基于共情型多智能体的学习者元认知增强机制构建与应用研究”(项目编号:2025SB136)研究成果

发布时间:

2025-10-10

出版时间:

2025-10-10

检 索 高级检索