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 Hays1
1Department of Nutritional Sciences, University of Oklahoma Health Sciences, 1200 N Stonewall Ave, 3064 Allied Health Building, Oklahoma City, OK, 73117, United States, 1 405 2718001 ext 41182.
JMIR medical education
|March 11, 2025
概括
生成型人工智能 (GenAI) 可以通过提高学生和教师的动机和定制学习来改善教育. 在课程开发和反中负责任地使用GenAI有望在各个层面彻底改变教育实践.
科学领域:
- 教育技术的教育技术
- 教育中的人工智能
- 课程开发 课程开发
背景情况:
- 生成型人工智能 (GenAI) 为学习者和教师提供了新的教学工具.
- 虽然学术不端行为是一个问题,但GenAI可以被利用来改善教育成果.
- 通过GenAI,可以加强现有的教育框架,以改善学习和教学.
研究的目的:
- 探索GenAI在结构化课程和改善教育成果方面的潜力.
- 确定GenAI如何使学习者 (例如,自主学习,参与) 和教师 (例如,课程设计,反) 都受益.
- 解决与将GenAI整合到教育中的挑战和伦理考虑.
主要方法:
- 利用GenAI进行创新的教学设计,如翻转教室和游戏化.
- 利用GenAI进行个性化的学习者反和结果评估.
- 分析GenAI对学习者自主,动机和知识保留的影响.
主要成果:
- 基因人工智能为学习者提供了增强的自主学习,认知参与和有效的检索.
- 导师受益于评估时间缩短和个性化的反能力.
- 基因人工智能使创新的教学方法和基于团队的练习开发成为可能.
结论:
- 负责任的GenAI应用程序可以彻底改变教育实践,使学习更容易获得和个性化.
- 对学习者和教师来说,积极的激励结果是可以实现的.
- 基因人工智能集成具有显著的潜力,可以改善从小学到高等教育的教育成果.
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