Explores AI study guides and diverse questions in biology, suggesting improved exam prep.
An AI-assisted methodology is suggested to generate learning materials. This methodology is proposed to provide students with additional practice and guidance, potentially bridging the gap between classroom instruction and exam expectations. In this proposed approach, pre-prepared multiple-choice questions (MCQs) from unit examinations served as the basis for creating AI-assisted study guides that highlighted key terms and concepts. These MCQ-based study guides were further transformed into multi-format questionnaires that offered diverse practice opportunities to reinforce understanding, promote active learning, and enhance student engagement. This AI-assisted study guide and multi-format questionnaires were supplemented to one of the sections of general biology at Metropolitan Community College, Omaha, NE. The informal feedback of students was positive about the supplemented material. This proposed methodology provides a conceptual framework for integrating AI into instructional design. Additionally, this scalable strategy offers adjunct instructors to support student learning, improve study efficiency, and enhance exam preparedness.
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Fareha Razvi (2026) studied this question.
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