元认知
反射(计算机编程)
会话(web分析)
感知
数学教育
计算机科学
聊天机器人
心理学
课程
教育技术
体验式学习
Microsoft excel
焦虑
本科教育
人工智能应用
定性性质
教育学
定性研究
工程教育
人工智能
计算机辅助教学
教学设计
作弊
高等教育
学生参与度
作者
Morgan A. Vincent,Benjamin J. Lear
标识
DOI:10.1021/acs.jchemed.5c00618
摘要
We report an intervention, performed during the Fall of 2024, in which a large language model artificial intelligence chatbot was introduced as a tool for pre-exam study and postexam reflection within an honors general chemistry course (CHEM 110H) at Penn State University. Through a combination of a structured 75 min instructional session and scaffolded pre- and postexam AI-based assignments, students engaged with AI tools such as ChatGPT, Microsoft Copilot, and Google Gemini intended to support content review and metacognitive development. Pre- and postcourse surveys revealed significant increases in students’ frequency of AI use, academic confidence in using AI, and perceived utility of AI, alongside reductions in anxiety regarding ethics of its use in academics. Survey data also showed a shift toward more positive and cohesive student perceptions of AI, suggesting that reflective, ethically framed AI integration can promote autonomous, meaningful engagement with new technologies without compromising academic performance. These findings highlight the value of intentional AI training in STEM education and underscore the need for continued study across diverse educational contexts.
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