ArticleJournal of microbiology & biology education2026
Turning "what is on the exam" panic into prep: AI-generated study guide and multi-format questions in biology.
Article in Journal of microbiology & biology education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.