Learning by Teaching Partner Robot in Collaborative Reading

被引:0
|
作者
Sudo, Takahito [1 ]
Kashihara, Akihiro [1 ]
机构
[1] Univ Electrocommun, 1-5-1 Chofugaoka, Chofu, Tokyo, Japan
关键词
Learning by teaching; Second language learning; Partner robot;
D O I
10.1007/978-3-031-05675-8_18
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Collaborative reading is an important activity for second language learners to practice communication. However, it is not easy for Japanese learners to read English sentences with a partner due to their embarrassment and lack of confidence. Our previous work has suggested that collaborative reading with a partner robot can reduce learners' psychological reluctance. On the other hand, there was a problem that some learners focused on reading English sentences in collaborative reading. In other words, learners did not care what the partner robot reads. In this work, we have developed a learning environment where a robot reads English sentences with incorrect grammar in collaborative reading, and learners teach the robot the grammatical mistakes. We also conducted a case study with 9 participants whose purpose was to evaluate learners' prosociality against the partner robot and the effectiveness of learning-by-teaching. The results suggest the possibility that learners improve their prosociality via teaching activity, and that teaching activity promotes reflection on their grammatical knowledge.
引用
收藏
页码:237 / 248
页数:12
相关论文
共 50 条
  • [31] Inverse Learning of Robot Behavior for Collaborative Planning
    Trivedi, Maulesh
    Doshi, Prashant
    2018 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2018, : 6589 - 6594
  • [32] Robot Learning in Mixed Adversarial and Collaborative Settings
    Yoon, Seung Hee
    Nikolaidis, Stefanos
    2020 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2020, : 9329 - 9336
  • [33] Behavior learning of a partner robot with a spiking neural network
    Kubota, N
    Sasaki, H
    2004 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, PROCEEDINGS, 2004, : 299 - 304
  • [34] Learning by Teaching a Robot The Case of Handwriting
    Lemaignan, Severin
    Jacq, Alexis
    Hood, Deanna
    Garcia, Fernando
    Paiva, Ana
    Dillenbourg, Pierre
    IEEE ROBOTICS & AUTOMATION MAGAZINE, 2016, 23 (02) : 56 - 66
  • [35] Active teaching for an interactive learning robot
    Katagami, D
    Yamada, S
    RO-MAN 2003: 12TH IEEE INTERNATIONAL WORKSHOP ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, PROCEEDINGS, 2003, : 181 - 186
  • [36] Predicting and Reading Together: the Role of Collaborative Learning in Facilitating Reading Comprehension
    Huang, Joan Wan-Ting
    ENGLISH TEACHING AND LEARNING, 2023, 47 (02): : 221 - 239
  • [37] A Study on the Usability Evaluation of Teaching Pendant for Manipulator of Collaborative Robot
    Dong, Jeyoun
    Kwon, Wookyong
    Kang, Dongyeop
    Nam, Seung Woo
    HCI INTERNATIONAL 2021 - LATE BREAKING POSTERS, HCII 2021, PT I, 2021, 1498 : 234 - 238
  • [38] A Task Teaching Method for Pan-flipping to Collaborative Robot
    Ko, Dongwoo
    Lee, Donghyeon
    Chung, Wan Kyun
    2022 19TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS (UR), 2022, : 109 - 114
  • [39] ClassMate Robot: A Robot to Support Teaching and Learning Activities in Schools
    Cucciniello, Ilenia
    L'Arco, Gianluca
    Rossi, Alessandra
    Autorino, Claudio
    Santoro, Giuseppe
    Rossi, Silvia
    2022 31ST IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION (IEEE RO-MAN 2022), 2022, : 906 - 911
  • [40] It Takes Two: Examining the Effects of Collaborative Teaching of a Robot Learner
    Steele, Christina
    Lobczowski, Nikki
    Davison, Teresa
    Yu, Mingzhi
    Diamond, Michael
    Kovashka, Adriana
    Litman, Diane
    Nokes-Malach, Timothy
    Walker, Erin
    ARTIFICIAL INTELLIGENCE IN EDUCATION: POSTERS AND LATE BREAKING RESULTS, WORKSHOPS AND TUTORIALS, INDUSTRY AND INNOVATION TRACKS, PRACTITIONERS AND DOCTORAL CONSORTIUM, PT II, 2022, 13356 : 604 - 607