Artificial intelligence in medical problem-based learning: opportunities and challenges

Authors:
Open Access
Publisher website
Google Scholar
Abstract
Problem-based learning (PBL) in medical education has encountered challenges affecting both teachers and students. The integration of artificial intelligence (AI) into PBL may provide potential solutions to these challenges. This paper aims to discuss the potential advantages of AI, where we found these merits of AI have the potential to improve the quality of PBL lessons. It is also important to pay attention to ethical guidelines and other limitations of AI in PBL lessons as well. Examples of interactions with AI chatbots are provided to demonstrate its application possibility. It is recommended to try using AI in PBL lessons, making it more adaptable for the PBL classroom. Future research should further explore the capabilities of AI, with the goal of developing a more personalized and adaptive learning experience within PBL.
Funding Information
  • Science and Technology Commission of Shanghai Municipality (1941071010)
  • Science and Technology Innovation Plan Of Shanghai Science and Technology Commission (21XD1422200)
  • National Natural Science Foundation of China (81973272)
  • National Natural Science Foundation of China (82171358)
  • National Natural Science Foundation of China (92068111)

This publication has 37 references indexed in Scilit: