AI-Enhanced BOPPPS for Frontier Transformation in Cell Apoptosis Teaching
LÜ Jianjun1,2,3, WEI Ding1,2,3, CHEN Zhinan1,2,3, BIAN Huijie1,2,3*
Cell Biology instruction emphasizes apoptotic signaling but neglects efferocytosis, leaving students unable to bridge molecular mechanisms with physiological and pathological consequences. Efferocytosis has become a major research frontier, but slow textbook updates and limited class time keep it out of standard undergraduate curricula. This was addressed by embedding generative AI (artificial intelligence) tools within a six-stage BOPPPS model focused on the “eat me” stage. Before class, AI-assisted literature mining was employed to compile a three-module resource database covering “find me, eat me, and resolution”. During class, classical content was shortened to accommodate AI assisted visualization and analysis of high-impact publications from the past five years, and a progressive problem chain was used to guide in-depth exploration of the “eat me” module. After class, learning diagnostics triggered adaptive delivery of extension resources for the other two modules, including “find me” and “resolution”. The model incorporates a multi-dimensional evaluation framework and provides an operable implementation pathway, offering a reference for subsequent validation of teaching practice and analogous frontier knowledge transformation.
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