边境模型聊天机器人可以帮助教师创建,改进和使用学习目标
Gregory J Crowther1, Merrill D Funk2, Kelly M Hennessey3
1Life Sciences Department, Everett Community College, Everett, Washington, United States.
Advances in physiology education
|January 17, 2025
概括
先进的聊天机器人可以帮助创建学习目标 (LO) 和评估问题,但教师监督至关重要. 虽然聊天机器人在教育内容生成方面表现有前途,但它们的输出需要仔细审查才能完全准备好.
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:
- 学习目标 (LO) 是课程设计和课程改革的基础.
- 生成型人工智能 (AI) 提供了简化教育内容创建的潜力.
研究的目的:
- 评估领先的聊天机器人 (ChatGPT-4o,Claude 3.5 Sonnet,Gemini Advanced) 在生成和完善学习目标 (LO) 的有效性.
- 评估聊天机器人能够创建与LOs一致的质量评估问题的能力.
- 探索AI在加速LO和相关课程材料设计方面的潜力.
主要方法:
- 聊天机器人的工作是从课程内容中创建LO,将LO调整到更高的Bloom's Taxonomy级别,并生成评估问题.
- 该研究涉及四个本科课程:应用运动生理学,人体解剖学,人体生理学和运动学习.
- 使用教练评级来评估聊天机器人输出与既定的最佳实践和质量标准相比.
主要成果:
- 聊天机器人在LO创建和评估问题生成的大多数个别标准上显示了>70%的成功率.
- 然而,聊天机器人在特定的标准上扎,例如为LO行动提供适当的背景,并分配正确的Bloom's Taxonomy级别.
- 总体而言,只有38.3%的聊天机器人产生的输出完全符合所有标准,这突显了对人类监督的需求.
结论:
- 聊天机器人显示出有很大的潜力,可以帮助教师制定学习目标和评估问题,作为有价值的起草工具.
- 导师监督对于确保人工智能生成的教育内容的准确性,上下文和教学适当性至关重要.
- 人工智能工具可以加快创建LO和测试问题模板,提高课程设计的效率.
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