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Robotic question support system to reduce hesitation for face-to-face questions in lectures

机译:机器人问题支持系统,以减少对讲座面对面问题的犹豫

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摘要

Encouraging students to actively ask questions during lectures is a formidable challenge that can be addressed through innovative use of information technology. We developed a robotic system that allows students in a lecture to collaboratively decide questions to be asked by a humanoid robot. To verify whether the system reduces hesitation to ask questions during lectures, 62 university students were divided into two groups, and each attended two different mock lectures on the Nobel Prize in Physics. Two lectures were conducted with and without the proposed system in counterbalanced order. Results suggested that students who were usually hesitant to ask questions during lectures became less hesitant to ask questions face-to-face when they could use the proposed system. Moreover, the perceived activeness in the lectures increased when using the system. Multiple regression analyses revealed that certain student actions, particularly tweeting and showing agreement with the questions posted by others, were correlated with an increase in perceived activeness.
机译:鼓励学生在讲座期间积极提出问题是一种强大的挑战,可以通过创新使用信息技术来解决。我们开发了一个机器人系统,允许学生在讲座中协同决定人形机器人提出的问题。为了验证系统是否减少犹会询问讲话,62名大学生分为两组,每个大学生分为两组,每个大学都参加了诺贝尔物理奖的两种不同的模拟讲座。两次讲座以平衡令在没有提出的系统的情况下进行。结果表明,通常在讲座期间犹豫不决的学生在他们使用所提出的系统时询问问题犹豫不决。此外,在使用系统时,讲座中的感知活动增加。多元回归分析显示,某些学生行为,特别是发布和显示与他人发布的问题的协议与感知活动的增加相关。

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