在课堂环境中,在第一年医学学生中发展用于自主学习的生理学资源使用
1Department of PhysiologyAll India Institute of Medical Sciences, Deoghar, Jharkhand, India.
Advances in physiology education
|February 24, 2025
概括
医学学生越来越喜欢数字工具,如搜索引擎和大型语言模型 (LLM) 聊天机器人,用于自主学习 (SDL). 虽然这些数字资源很受欢迎,但传统教科书仍然是医学教育中宝贵的补充工具.
科学领域:
- 医学教育 医学教育
- 数字学习工具 数字学习工具
- 信息科学 信息科学 信息科学
背景情况:
- 自主学习 (SDL) 对于培养医学学生的批判性思维和独立性至关重要.
- 技术进步引入了搜索引擎和大型语言模型 (LLM) 聊天机器人等数字工具,作为传统资源的补充.
- 有限的数据存在医学学生的SDL资源偏好在印度后LLM介绍.
研究的目的:
- 调查在印度的医学学生中最喜欢的自导学习资源.
- 评估大型语言模型 (LLM) 聊天机器人在课堂环境中对资源选择的影响.
主要方法:
- 对64名医学学生进行了基于贫血的课堂SDL课程.
- 学生们选择了自己的资源进行40分钟的准备时间.
- 会议结束后,学生们匿名报告了资源使用情况,并回答了基于知识的问题.
主要成果:
- 搜索引擎 (61.9%) 和LLM聊天机器人 (60.32%) 是最常用的资源.
- 26.98%的学生使用教科书,使用笔记,日记和视频的频率较低.
- 很大一部分学生使用多个资源 (39.68%使用两个,14.29%使用三个).
结论:
- 在印度的医学学生中,有明显的转向数字工具,特别是搜索引擎和LLM聊天机器人,用于自我指导的学习.
- LLM聊天机器人和搜索引擎正在成为首选的教育资源,补充教科书等传统材料.
- 医学学生正在采用多种资源的方法来实现自主学习,整合数字和传统工具.
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