This paper presents the development of a chatbot to train physiotherapy students in clinical questioning and reasoning. The features in this tool consist of semi-scripted practice conversations between a physiotherapist and patient to determine a clinical diagnosis on a given scenario, automated scoring and feedback on their performance, and instructor tracking of students’ progress. Challenges and lessons learned in developing this chatbot are discussed. Experimental evaluation on whether the use of the chatbot improves students’ self-efficacy in clinical questioning and reasoning is ongoing.
Funding
ALIGN grant
History
Journal/Conference/Book title
Proceedings of the IEEE International Conference on Teaching, Assessment, and Learning for Engineering, Hung Hom, Hong Kong, December 4-7, 2022.