评估聊天机器人研讨会作为体验式教学和学习工具的有效性,以吸引本科生参与
Kyong Jin Shim1, Thomas Menkhoff2, Lydia Ying Qian Teo2
1School of Computing and Information Systems, Singapore Management University, Singapore, Singapore.
Education and information technologies
|June 26, 2023
概括
一个聊天机器人研讨会有效地让非STEM学生参与学习人工智能 (AI) 技能. 经验式学习工具显著提高了学生的满意度,参与度和对使用自然语言处理 (NLP) 构建聊天机器人原型的信心.
科学领域:
- 教育技术的教育技术
- 教育中的人工智能
- 人与计算机的交互
背景情况:
- 本科生往往没有接触到人工智能概念.
- 经验式学习对于开发实用的AI技能至关重要.
- 聊天机器人为教AI和以用户为中心的设计提供了一个独特的工具.
研究的目的:
- 评估聊天机器人研讨会作为体验式学习工具的有效性.
- 让非STEM学生参与使用Dialogflow构建聊天机器人原型.
- 传授对话性AI和自然语言处理 (NLP) 的基础知识.
主要方法:
- 一个选修课程"与AI做生意" 在新加坡管理大学.
- 使用Dialogflow进行原型开发的实践聊天机器人研讨会.
- 学生调查以衡量满意度,参与度和感知能力.
主要成果:
- 90.7%的学生对聊天机器人工作坊感到满意.
- 81.4%的人表示参与度增加,81.3%的人感到更有能力.
- 97.7%的学生同意研讨会达到了学习成果.
结论:
- 聊天机器人研讨会是一个有价值的教学工具,用于向非STEM学生介绍AI和NLP.
- 经验式学习显著提高了学生的参与度,动机和技能获取在AI.
- 这种方法为学生为人工智能驱动的世界提供了为未来准备的技能.
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