REVIEW article
Front. Educ.
Sec. Digital Learning Innovations
Volume 10 - 2025 | doi: 10.3389/feduc.2025.1640684
Research on the training strategy of College Students' design thinking and innovation ability based on multimodal large model
Provisionally accepted
- 1Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
- 2Department of Urology, Shengjing Hospital of China Medical University, Shenyang, China
- 3Center of Reproductive Medicine, Shengjing Hospital of China Medical University, Shenyang, China
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The development of Multimodal Large Language Model(MLLMs) offers new technological support for cultivating design thinking and innovation capability in medical education. However, the current training of medical professionals remains predominantly centered on knowledge memorization and one-way didactic instruction. The systematic integration of artificial intelligence and innovation methodologies is still insufficient, while challenges such as limited interdisciplinary integration and inefficient teaching iteration have constrained the cultivation of innovative literacy. To address these challenges, this study constructs the "MLLM+EDIPT" integration framework, which deeply couples the design thinking model from Stanford University's D.school with MLLM technology. It systematically elucidates the cognitive support mechanisms of MLLM across the stages of empathy, definition, ideation, prototyping, and testing. Targeting diverse stakeholders, including hospitals, universities, educators, and students, this study proposes a phased cultivation strategy and competency framework based on school-clinician collaboration. This framework emphasizes the full integration of the "human-centered" philosophy, leveraging AI to enhance situational awareness, feedback timeliness, and methodological rigor, thereby driving the transformation of teaching models from experience-driven to intelligent collaboration. Ultimately, this research aims to provide a theoretically grounded and practically viable pathway reference for the cultivation of top-tier innovative medical talents in the AI era.
Keywords: Multimodal large models, Innovative thinking, design thinking, EDIPT model new paradigm, Innovation enhancement
Received: 04 Jun 2025; Accepted: 09 Oct 2025.
Copyright: © 2025 Li, Liu, Xue, Meng and Zhu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Jixin Li, drlijixin@163.com
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