A Study on the Evaluation of AI Literacy Education in Medical University Libraries Based on the Kirkpatrick Model

Corresponding author: ZHAO Nan, hmuipisc@hrbmu.edu.cn

DOI: 10.12201/bmr.202607.00009

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  Abstract: Purpose/Significance Construct an evaluation index system for AI literacy education in medical university libraries to support the high-quality development of AI literacy education in universities. Method/Process The evaluation system indicators were constructed through literature analysis and expert consultation, and the weights of each level of indicators were determined using the analytic hierarchy process. Result/Conclusion Based on the Kirkpatrick’s model, this study constructs a four - layer evaluation framework covering four dimensions of reaction, learning, behavior, and outcome, which is used to evaluate the artificial intelligence literacy education in medical school libraries. In addition, a closed - loop practice path is formulated, including goal setting, process monitoring, outcome evaluation, and continuous improvement. The proposed evaluation index system and its corresponding practice path provide a systematic, evaluable, and sustainable theoretical framework and operational model for artificial intelligence literacy education in medical school libraries, which contributes to the development of artificial - intelligence - related educational initiatives in higher education.

  Key words: AI Literacy Education; evaluation system; Kirkpatrick’s model

  Submit time: 3 July 2026

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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  1	2026-04-22	10.12201/bmr.202607.00009V1	Download

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