Bot Undercover: On the Use of Conversational Agents to Stimulate Teacher-Students Interaction in Remote Learning

F. G. Pratticò, Javad Alizadeh Shabkhoslati, Navid Shaghaghi, F. Lamberti
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Abstract

In this work, the use of an undercover conversational agent, acting as a participative student in a synchronous virtual reality distance learning scenario is proposed to stimulate social interaction between teacher and students. The outcome of an exploratory user study indicated that the undercover conversational agent is capable of fostering interaction, relieving social pressure, and overall leading to a more satisfactory and engaging learning experience without sacrificing learning performance.
机器人暗访:利用会话代理促进远程学习中的师生互动
在这项工作中,建议使用秘密会话代理,作为同步虚拟现实远程学习场景中的参与学生,以刺激教师和学生之间的社会互动。一项探索性用户研究的结果表明,隐性会话代理能够促进互动,缓解社会压力,并在不牺牲学习性能的情况下带来更令人满意和更有吸引力的学习体验。
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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