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    ChatGPT赋能学生学习的路径探析

    Analysis of the Path to Empowering Student Learning with ChatGPT

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【作      者】:

董 艳, 夏亮亮, 李心怡, 侯彦华


【关 键 词 】:

人工智能; ChatGPT; 人机协同学习; 人机对话; 反馈素养


【栏      目】:

理论探讨


【中文摘要】:

ChatGPT给技术赋能教育带来了巨大的机遇与挑战,有望变革与重塑教与学方式。但目前ChatGPT的相关研究主要从功能与伦理出发探讨其对教育领域的影响,对学习者如何与ChatGPT互动进入协同学习的分析还不够深入。为此,文章从人机协同学习的基本视角出发,结合ChatGPT的特点以及道德伦理等方面的规范,提出ChatGPT赋能学生学习的具体路径,包括协同底座、个体责任、协同基础、协同接口、协同表现、有效对话和协同形式七个方面。其中,协同底座受到个人责任的激发与约束,协同基础通过协同接口连通,协同表现以有效对话为核心,协同形式具有不同的层次。未来,可以从技术发展、人机双向反馈机制及提升策略、学习者提问与创新能力发展策略等方面做更深入的分析。


【英文摘要】:

ChatGPT brings tremendous opportunities and challenges to technology-enabled education, which is expected to transform and reshape teaching and learning methods. However, the current research on ChatGPT mainly explores its impact on education from the perspective of its function and ethics, and the research on how learners interact with ChatGPT to enter into collaborative learning is not deep enough. Therefore, from the basic perspective of human-computer collaborative learning, combining the characteristics of ChatGPT and the norms of morality and ethics, this paper proposes a specific path for ChatGPT to empower student learning, including seven aspects: collaborative base, individual responsibility, collaborative foundation, collaborative interface, collaborative performance, effective dialogue, and collaborative forms. Among them, the collaborative base is stimulated and constrained by individual responsibility, the collaborative foundation is connected through the collaborative interface, the collaborative performance is centered on effective dialogue, and the collaborative form has different levels. In the future, more in-depth analysis can be made in terms of technological development, human-computer two-way feedback mechanism and improvement strategy, and learners' questioning and innovation ability development strategy.

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