开发聊天机器人训练物理治疗学生临床提问和推理

2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE) Pub Date : 2022-12-01 DOI:10.1109/TALE54877.2022.00084

Chien-Hong Lee, M. Low, Benjamin Tze Chin Soon, LiMing Lu, H. Lee, Nadya Shaznay Patel

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引用次数: 0

摘要

本文介绍了一个聊天机器人的发展，以训练物理治疗学生在临床提问和推理。该工具的功能包括物理治疗师和虚拟患者之间的半脚本练习对话，以确定给定场景的临床诊断，对他们的表现进行自动评分和反馈，以及教师跟踪学生的进度。讨论了开发这个聊天机器人的挑战和经验教训。关于使用聊天机器人是否能提高学生在临床提问和推理中的自我效能感的实验评估正在进行中。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Development of a Chatbot to Train Physiotherapy Students in Clinical Questioning and Reasoning

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 virtual 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.

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2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)

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