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Robotic question support system to reduce hesitation for <scp>face‐to‐face</scp> questions in lectures

Jiro Shimaya, Yuichiro Yoshikawa, Kohei Ogawa, Hiroshi Ishiguro

Year
2020
Citations
8
Access
Open access

Abstract

Abstract 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.

Keywords

Ask priceFace (sociological concept)Face-to-faceMathematics educationPsychologyComputer scienceSociologyEpistemology

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