183 | 0 | 31 |
下载次数 | 被引频次 | 阅读次数 |
人机协同学习是智能教育发展的重要实践。以学习调节为视角来重新理解人机协同学习,将揭示人工智能在提升人类自我调节学习能力上的重要作用,促进探索人机协同调节学习的新形态。该研究首先概述了人工智能赋能学习者从自我调节学习到人机协同调节学习的转变,然后重点剖析了人机协同调节学习的作用维度,从认知调节、行为调节和情感调节三个方面详细讨论了人工智能增强主体自觉的方式;其次,建构了人机协同调节学习的过程机制,解释了人工智能支持学习调节的流程和人机协同调节学习的过程;最后,结合人机协同调节学习的作用,展望了其对人类的知识创造、人机实践关系和学习时空结构等方面的主要影响。
Abstract:Human-machine collaborative learning is an important practice in the development of intelligent education. Reunderstanding human-machine collaborative learning from the perspective of learning regulation will reveal the important role of artificial intelligence in improving human self-regulation learning ability, and promote the exploration of new practices of human-machine collaborative regulation learning. Firstly, the study summarizes the transformation of AI-enabled learners from self-regulated learning to human-machine collaborative regulation learning, and then focuses on the functional dimension of human-machine collaborative regulation learning, and discusses in detail the ways of AI enhancing subject consciousness from three aspects: cognitive regulation, behavioral regulation and emotional regulation.Secondly, the study constructs the process mechanism of human-machine collaborative regulation learning, and explains the process of artificial intelligence supporting learning regulation and human-machine collaborative regulation learning. Finally, combined with the function of human-machine collaborative regulation learning, the study summarizes the main influence on human knowledge creation, human-machine practice relationship and learning space-time structure.
[1]郝祥军,王帆等.教育人工智能的发展态势与未来发展机制[J].现代教育技术,2019,29(2):12-18.
[2]毛刚,王良辉.人机协同:理解并建构未来教育世界的方式[J].教育发展研究,2021,41(1):16-24.
[3]李政涛.智能时代的学习与进化:重构人类“学与教”范式[J].中国教育学刊,2024,(5):48-53.
[4][14]韩悦,赵晓伟等.人机协同调节:复合脑视角下自我调节学习的新路径[J].电化教育研究,2024,45(5):20-26.
[5]杨刚,徐晓东等.学习本质研究的历史脉络、多元进展与未来展望[J].现代远程教育研究,2019,31(3):28-39.
[6]郭炯,郝建江.人工智能环境下的学习发生机制[J].现代远程教育研究,2019,31(5):32-38.
[7]郝祥军,顾小清等.人机协同学习:实践模式与发展路向[J].开放教育研究,2022,28(4):31-41.
[8]Winne P H.Theorizing and researching levels of processing in self‐regulated learning[J].British Journal of Educational Psychology,2018,88(1):9-20.
[9][58][61]Chou C Y,Zou N B.An analysis of internal and external feedback in self-regulated learning activities mediated by self-regulated learning tools and open learner models[J].International Journal of Educational Technology in Higher Education,2020,17(1):1-27.
[10]Chou C Y,Lai K R,et al.A negotiation-based adaptive learning system for regulating help-seeking behaviors[J].Computers&Education,2018,126:115-128.
[11]Greene J A,Azevedo R.Adolescents’use of self-regulatory processes and their relation to qualitative mental model shifts while using hypermedia[J].Journal of Educational Computing Research,2007,36(2):125-148.
[12][30][55]Molenaar I,Horvers A,et al.What can moment-by-moment learning curves tell about students’self-regulated learning?[J].Learning and Instruction,2021,72:101206.
[13]Nguyen A,J?rvel?S,et al.Examining socially shared regulation and shared physiological arousal events with multimodal learning analytics[J].British Journal of Educational Technology,2023,54(1):293-312.
[15]Siemens G,Marmolejo-Ramos F,et al.Human and artificial cognition[J].Computers and Education:Artificial Intelligence,2022,3:1-9.
[16]白惠仁,崔政.机器学习与创造性认知劳动[J].浙江社会科学,2021,(3):100-106.
[17]余胜泉,汪凡淙.人工智能教育应用的认知外包陷阱及其跨越[J].电化教育研究,2023,44(12):5-13.
[18]董春雨,薛永红.机器认识论何以可能?[J].自然辩证法研究,2019,35(8):3-10.
[19]Shneiderman B.Human-centered artificial intelligence:Reliable,safe&trustworthy[J].International Journal of Human-Computer Interaction,2020,36(6):495-504.
[20][22][27][67][69]郝祥军,张天琦等.智能时代的人机协同学习:形态、本质与发展[J].中国电化教育,2023,(10):26-35.
[21]陈凯泉,韩小利等.人机协同视阈下智能教育的场景建构及应用模式分析--国内外近十年人机协同教育研究综述[J].远程教育杂志,2022,40(2):3-14.
[23][50][52]Molenaar I.Towards hybrid human‐AI learning technologies[J].European Journal of Education,2022,57(4):632-645.
[24]Winne P H,Hadwin A F.Studying as self-regulated engagement in learning[A].Hacker D J,et al.Metacognition in educational theory and practice[C].New York:Routledge,1998.277-304.
[25]程学旗,梅宏等.数据科学与计算智能:内涵、范式与机遇[J].中国科学院院刊,2020,35(12):1470-1481.
[26]郝祥军,顾小清.AI重塑知识观:数据科学影响下的知识创造与教育发展[J].中国远程教育,2023,43(5):13-23.
[28]赵蔚,程诺等.学习分析仪表盘真的促进自我调节学习了吗?--基于24项实验与准实验的元分析[J].电化教育研究,2023,44(5):104-112.
[29]Molenaar I.The concept of hybrid human-AI regulation:Exemplifying how to support young learners’self-regulated learning[J].Computers and Education:Artificial Intelligence,2022,3:100070.
[31]Guo L.Using metacognitive prompts to enhance self-regulated learning and learning outcomes:A meta-analysis of experimental studies in computer-based learning environments[J].Journal of Computer Assisted Learning,2022,38(3):811-832.
[32]Roll I,Aleven V,et al.Improving students’help-seeking skills using metacognitive feedback in an intelligent tutoring system[J].Learning and Instruction,2011,21(2):267-280.
[33]Winne P H,Hadwin A F.n Study:Tracing and supporting selfregulated learning in the Internet[A].Azevedo R,Aleven V.International handbook of metacognition and learning technologies[C].New York:Springer,2013.293-308.
[34]Sharma K,Nguyen A,et al.Self-regulation and shared regulation in collaborative learning in adaptive digital learning environments:Asystematic review of empirical studies[J].British Journal of Educational Technology,2024,55:1398-1436.
[35]任英杰,徐晓东.学习科学:研究的重要问题及其方法论[J].远程教育杂志,2012,30(1):26-36.
[36][42]Cho H J,Levesque-Bristol C,et al.How autonomy-supportive learning environments promote Asian international students’academic adjustment:A self-determination theory perspective[J].Learning Environments Research,2023,26(1):51-76.
[37][60]刘桐,顾小清等.聚焦目标适性达成:自适应学习领域模型的国际研究进展[J].远程教育杂志,2023,41(1):37-47.
[38]Albacete P,Jordan P,et al.The impact of student model updates on contingent scaffolding in a natural-language tutoring system[A].Isotani S,Millán E,et al.Artificial Intelligence in Education:20th International Conference[C].Cham:Springer,2019.37-47.
[39]Ford S,Allali M.Using a constraint-based expert model to provide steplevel feedback for user-inputted mathematics equations[J].International Journal of Mathematical Education in Science and Technology,2023,54(10):2013-2026.
[40]Winne P H.Learning analytics for self-regulated learning[A].Lang C,Siemens G,et al.Handbook of Learning Analytics[C].New York:SOLAR,2017.241-249.
[41]郝祥军,顾小清.基于协商的学伴推荐:自适应学习的社会性发展路向[J].中国远程教育,2021,(8):51-59.
[43]Efklides A.Interactions of metacognition with motivation and affect in self-regulated learning:the MASRL model[J].Educational Psychology,2011,46:6-25.
[44]Kim Y,Wei Q.The impact of learner attributes and learner choice in an agent-based environment[J].Computers&Education,2011,56(2):505-514.
[45]Baylor A L,Kim Y.Simulating instructional roles through pedagogical agents[J].International Journal of Artificial Intelligence in Education,2005,15(2):95-115.
[46]TS A,Guddeti R M R.Automatic detection of students’affective states in classroom environment using hybrid convolutional neural networks[J].Education and information technologies,2020,25(2):1387-1415.
[47]Tegos S,Demetriadis S.Conversational agents improve peer learning through building on prior knowledge[J].Journal of Educational Technology&Society,2017,20(1):99-111.
[48]Daradoumis T,Arguedas M.Cultivating students’reflective learning in metacognitive activities through an affective pedagogical agent[J].Educational Technology&Society,2020,23(2):19-31.
[49]Zimmerman B J.Becoming a self-regulated learner:An overview[J].Theory into practice,2002,41(2):64-70.
[51]Greene J A,Azevedo R.The measurement of learners’self-regulated cognitive and metacognitive processes while using computer-based learning environments[J].Educational psychologist,2010,45(4):203-209.
[53]胡翰林,冯瑞.多模态学习的研究进展与趋势:跨学科的透视[J].黑龙江高教研究,2024,42(6):148-154.
[54]J?rvel?S,Nguyen A,et al.Human and artificial intelligence collaboration for socially shared regulation in learning[J].British Journal of Educational Technology,2023,54(5):1057-1076.
[56]Granberg C,Palm T,et al.A case study of a formative assessment practice and the effects on students’self-regulated learning[J].Studies in Educational Evaluation,2021,68:100955.
[57]汪玲,郭德俊.元认知的本质与要素[J].心理学报,2000,(4):458-463.
[59]范佳荣,钟绍春.学科知识图谱研究:由知识学习走向思维发展[J].电化教育研究,2022,43(1):32-38.
[62]Roebers C M.Executive function and metacognition:Towards a unifying framework of cognitive self-regulation[J].Developmental review,2017,45:31-51.
[63]Bimba A T,Idris N,et al.Adaptive feedback in computer-based learning environments:a review[J].Adaptive Behavior,2017,25(5):217-234.
[64]Morales-Urrutia E K,Oca?a Ch J M,et al.Promoting learning and satisfaction of children when interacting with an emotional companion to program[A].Bittencourt I.Artificial Intelligence in Education:21st International Conference[C].Cham:Springer,2020.220-223.
[65]汪维富,毛美娟.学习分析的可行动见解:内涵界定与概念结构[J].中国远程教育,2024,44(10):60-72.
[66]毛刚.学习分析作为元认知反思支架的效能研究[J].电化教育研究,2018,39(9):22-27.
[68]顾小清,郝祥军.从人工智能重塑的知识观看未来教育[J].教育研究,2022,43(9):138-149.
基本信息:
DOI:
中图分类号:G434
引用信息:
[1]郝祥军,顾小清.人机协同学习的新理解:人与AI共同调节学习[J].中国电化教育,2025,No.461(06):9-17+79.
基金信息:
2019年度国家社会科学基金重大项目“人工智能促进未来教育发展研究”(项目编号:19ZDA364)研究成果