[Teaching reform and practice of a project-based graduate course Bioinformatics in the era of artificial intelligence].

Authors

Yiran Liao, Han Jiang, Hongxiang Xu, Ying He, Jianping Xie

Published in

Sheng wu gong cheng xue bao = Chinese journal of biotechnology. Volume 42. Issue 8. Pages 3799-3809. Aug 25, 2026.

Abstract

The rapid development of big data and artificial intelligence (AI) necessitates highly skilled and innovative talents in bioinformatics and the change of conventional teaching for postgraduates. In this study, we identified key challenges in the current teaching of Bioinformatics and developed and implemented a hands-on teaching framework centered on human-AI collaboration. The framework comprises a modular course structure, immersive hands-on training, and the integration of large language models (LLMs) as auxiliary instructional tools to promote active, inquiry-driven learning. Evidence from three years of implementation indicates that this approach significantly enhanced the analytical ability, strengthened the algorithmic thinking, and improved the scientific literacy of students, while also facilitating a shift in instructors' roles from knowledge providers to learning facilitators. This study can help the reform of other courses to foster talents competent for the industry.

PMID:
42638073
Bibliographic data and abstract were imported from PubMed on 25 Aug 2026.

Read full publication at:
Please sign in to see all details.

Stats

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.