Using Exam Preparation and Reflection to Introduce Artificial Intelligence Tools in Honors General Chemistry

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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Publication Details

Journal
Journal of Chemical Education
Published
2025-09-26
DOI
https://doi.org/10.1021/acs.jchemed.5c00618
Citations
3
Primary Topic
Biomedical and Engineering Education
Type
article
Field-Weighted Citation Impact
2.02
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article

Using Exam Preparation and Reflection to Introduce Artificial Intelligence Tools in Honors General Chemistry

Benjamin J. Lear, Marisol Vázquez Vincent
3 citations
Journal of Chemical Education
Biomedical and Engineering Education
2.02
article

Using Exam Preparation and Reflection to Introduce Artificial Intelligence Tools in Honors General Chemistry

Benjamin J. Lear, Marisol Vázquez Vincent
article en
3 citations

Abstract

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.

Journal of Chemical EducationVol. 102(10)
Pennsylvania State University (US)
Openalex Percentile: Top 12%
Biomedical and Engineering Education
2.02
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