期刊文献+

ChatGPT赋能学生学习的路径探析 被引量:12

Analysis of the Path to Empowering Student Learning with ChatGPT
下载PDF
导出
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。 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.
作者 董艳 夏亮亮 李心怡 侯彦华 DONG Yan;XIA Liangliang;LI Xinyi;HOU Yanhua(Faculty of Education,Beijing Normal University,Beijing 100031;College of Science and Technology,Beijing Open University,Beijing 100083)
出处 《电化教育研究》 北大核心 2023年第12期14-20,34,共8页 E-education Research
基金 2021年度国家自然科学基金面上项目“STEM教育情境下多人同伴互动的脑协同机制与策略研究”(项目编号:62177011) 2018年度北京市教育科学“十三五”规划重点课题“大数据背景下在线教育学习分析实证研究”(课题编号:CADA18067)。
关键词 人工智能 ChatGPT 人机协同学习 人机对话 反馈素养 Artificial Intelligence ChatGPT Human-Computer Collaborative Learning Human-Computer Dialogue Feedback Literacy
  • 相关文献

参考文献17

二级参考文献194

共引文献933

同被引文献180

引证文献12

二级引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部