摘要
协作学习是高阶思维和问题解决能力培养的有效途径,但学习者之间交互参与不积极、交互内容缺乏深度等问题仍然严重阻碍了协作学习效能的有效发挥。为了促进学习者之间的深度交互和加强深层次知识建构,从协作群体构建的视角切入,结合人工智能技术,提出并验证了促进深度交互的协作群体智能构建策略。该策略基于混合分组原则,对学习者的知识水平和学习风格进行异质组合,对交互意愿进行同质组合,引入对协作进程有重要影响的领导者角色作为约束条件。实践结果表明:(1)该策略能有效减少学习者边缘化现象,增强其交互的紧密性;(2)有助于提升学习者在意义协商、检验修正等高层次交互上的参与度,从而促进深层次知识建构;(3)有利于使交互紧密围绕任务展开,并推动学习者从意义协商向更高层次的检验修正和达成与应用的迁移。
Collaborative learning is considered to be an effective way to cultivate advanced thinking and problem solving ability,but the problems such as inactive interactive participation among learners and lack of depth of interactive content still seriously hinder the full play of collaborative learning efficiency.How to promote deep interaction among learners and achieve deep construction of knowledge has become an urgent issue in current educational research.From the perspective of collaborative group construction,this paper combines with arificial intelligence technology,and proposes and validates the collaborative group construction strategy to pro-mote deep interaction.This strategy is based on the mixed grouping principle,selecting heterogeneous combinations of knowledge level and learning style,and homogeneous combinations of interaction willingness.Based on this,leader factors that have a significant im-pact on interaction are introduced as constraints to ensure the effectiveness of interaction.The results demonstrate that:(1)This strate-gy can fectively reduce the marginalization of learners and enhance the interaction closeness among learners.(2)It's helpful to en-hance learners'participation in high-level interaction such as meaning negotiation,inspection and correction,thus promoting the deep construction of knowledge.(3)It helps to make the interaction closely around the task,and promotes the transfer of interactions from meaning negotiation to higher level of inspection and correction and implementation and application.
作者
孔维梁
韩淑云
张昭理
KONG Wei-liang;HAN Shu-yun;ZHANG Zhao-li(Henan Normal University,Xinxiang 453007,China;Central China Normal University,Wuhan 430079,China)
出处
《黑龙江高教研究》
北大核心
2025年第9期138-145,共8页
Heilongjiang Higher Education Research
基金
河南省哲学社会科学规划项目“数据驱动的在线协同知识建构干预策略研究”(编号:2021BJY021)
河南省教师教育课程改革研究项目“‘人工智能+教育’背景下师范生教学能力培养模式研究”(编号:2024-JSJYYB-016)
河南省高校重点科研项目“多学科融合的认知过程诊断关键技术研究”(编号:25A880002)。
关键词
协作学习
深度交互
群体构建
社会网络
交互模式
collaborative learning
deep interaction
group construction
social network
interactive pattern
作者简介
孔维梁,河南师范大学教育学部讲师,理学博士,研究方向:教育人工智能、知识服务;通讯作者:韩淑云,华中师范大学人工智能教育学部博士研究生,研究方向:学习分析、人工智能教育应用;张昭理,华中师范大学人工智能教育学部教授,工学博士,研究方向:知识服务、自我调节学习、计算和信息安全。
