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    面向调节学习支持的智能教学代理 设计与实证研究

    Design and Empirical Research of Intelligent Pedagogical Agents for Regulated Learning Support

    [浏览次数:50418]

【作      者】:

吴林静, 陈梦凡, 高 喻, 徐 静, 刘清堂


【关 键 词 】:

智能教学代理; 调节学习; 支架式调节; 反馈式调节; 协同知识构建


【栏      目】:

学习环境与资源


【中文摘要】:

向学习者提供必要的调节学习支持是协作学习能够顺利开展并取得成功的关键因素之一,但依赖于教师根据经验提供个性化调节学习支持费时费力,难以推广。文章以调节学习理论为基础,设计了面向调节学习支持的智能教学代理模型,并进一步设计了支架式调节和反馈式调节两种不同类型的代理调节策略。为了验证智能教学代理模型的有效性,文章以某师范院校开设的“现代教育技术应用”课程为对象,研发了面向调节学习支持的智能教学代理,并进行了实证研究。研究结果显示:智能教学代理能够促进和提升学习者的协作学习过程。具体来说,支架反馈式代理能够促进建构更多数量的话语,使学习者的协作话语分布更为均衡和稳定,并产生更为丰富的协作行为转换模式。但支架式代理对协作话语的数量有轻微的抑制作用,在行为模式的丰富性上也略低于支架反馈式代理。研究结论对于智能教学代理系统的研发和协作学习活动的组织均有一定的参考价值和启示作用。


【英文摘要】:

Providing learners with the necessary regulated learning support is one of the key factors for the successful implementation and achievement of collaborative learning. However, relying on teachers to provide personalized regulated learning support based on their experience is time-consuming and labor-intensive, and difficult to promote. Based on regulated learning theory, this study designed an intelligent pedagogical agent model for regulated learning support and further designed two different types of agent regulation strategies, namely scaffolding regulation and feedback regulation. To verify the effectiveness of the intelligent pedagogical agent model, this paper took the "Modern Educational Technology Application" course offered by a normal university as the subject, developed an intelligent pedagogical agent for regulated learning support, and conducted empirical research. The results show that the intelligent pedagogical agent could promote and enhance the learner's collaborative learning process. Specifically, the scaffolding and feedback agent could promote a greater number of constructive discourses, make the distribution of learners' collaborative discourses more balanced and stable, and generate richer collaborative behavior transition patterns. However, the scaffolding agent has a slight suppressive effect on the quantity of collaborative discourses and is slightly lower than the scaffolding feedback agent in collaborative behavior transition patterns. The findings of the study provide reference and insights on the development of intelligent pedagogical agent systems and the organization of collaborative learning activities.

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