Learning Effect of Collaborative Learning with Robots Speaking a Compliment
Author(s) -
Felix Jimenez,
Masayoshi Kanoh,
Tomohiro Yoshikawa,
Tsuyoshi Nakamura
Publication year - 2020
Publication title -
journal of advanced computational intelligence and intelligent informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 20
eISSN - 1343-0130
pISSN - 1883-8014
DOI - 10.20965/jaciii.2020.p0396
Subject(s) - robot , computer science , onomatopoeia , collaborative learning , artificial intelligence , affect (linguistics) , human–computer interaction , natural language processing , robot learning , multimedia , linguistics , psychology , knowledge management , mobile robot , communication , philosophy
With advances in robotic technology, more robots are being designed to support learning. Most studies have focused on robot behavior and investigated their effects. However, few have studied the compliments given by robots. It is not known how such compliments affect learning and motivation. Therefore, this study investigates the effects of collaborative learning with a robot that delivers compliments. We conducted an experiment to compare the learning effects across three groups. In one group, the learners studied with a robot that praised them using onomatopoeias. In the second group, the learners studied with a robot that praised them using adjectives. In the last group, the learners learned with a robot that praised them without using onomatopoeias or adjectives (original text). The results of this study suggest that collaborative learning with a robot that encourages learners using the original text or onomatopoeias is more effective.
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