利用生成性人工智能提高高等教育学习者的动机和检索能力
Noahlana Monzon1, Franklin Alan Hays2
1Department of Nutritional Sciences, University of Oklahoma Health Sciences, Oklahoma City, US.
JMIR medical education
|February 6, 2025
概括
生成型人工智能 (GAI) 可以通过改善学生和教师的课程和学习过程来增强教育. 负责任的GAI整合承诺更容易获得,定制的学习体验,促进所有教育层面的动机和成果.
科学领域:
- 教育技术的教育技术
- 教育中的人工智能
背景情况:
- 生成型人工智能 (GAI) 提供了创新的方法来改善学习者和教师的教育实践.
- 虽然学术不端行为是一个问题,但GAI可以被利用来积极影响课程结构和学习成果.
- GAI提供了个性化的反,高效的课程管理和新的教学设计的机会.
研究的目的:
- 探索生成人工智能 (GAI) 在提高教育环境中的潜力.
- 调查GAI如何用于课程开发,学习者参与和教师支持.
- 解决与GAI在教育中的实施相关的挑战和伦理考虑.
主要方法:
- 在课程结构和发展中审查GAI应用程序.
- 分析GAI对学习者参与,动机和知识保留的影响.
- 检查GAI在教师课程设计,反和时间管理中的作用.
主要成果:
- GAI为学习者提供自主学习,认知参与和改进的检索实践.
- 导师通过增强的课程设计,减少评估时间和个性化的反,从GAI中受益.
- 翻转教室和游戏化等创新的教学设计得到了GAI的丰富.
结论:
- 在教育中负责任地应用GAI可以彻底改变学习,使其更容易获得和个性化.
- 对于学习者和教师来说,GAI促进了积极的激励结果.
- GAI的好处跨越了初级,高等和继续教育范式.
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