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Carrot or Stick: The Effect of Reward and Punishment in Robot Assisted Language Learning

Published: 01 April 2020 Publication History

Abstract

Feedback plays an important role in language learning. However, limited research can be found on the influence of feedback in robot-assisted language learning. Therefore, this study aims to identify the effects of robot-feedback on learning gain, motivation, and anthropomorphism. In total, 60 students participated in a language learning task, with a robot using one of three feedback conditions: reward, punishment, and no feedback. The results showed that feedback only affected learning gain: students learned more with punishment, followed by reward, compared to no feedback. Thus, our results underscore the importance of feedback in RALL.

References

[1]
Muneeb Imtiaz Ahmad, Omar Mubin, Suleman Shahid, and Joanne Orlando. 2019. Robot's adaptive emotional feedback sustains children's social engagement and promotes their vocabulary learning: a long-term child--robot interaction study. Adaptive Behavior (2019), 1059712319844182.
[2]
Christoph Bartneck, Dana Kulić, Elizabeth Croft, and Susana Zoghbi. 2009. Measurement instruments for the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots. International journal of social robotics, Vol. 1, 1 (2009), 71--81.
[3]
Mirjam de Haas, Peta Baxter, Chiara de Jong, Emiel Krahmer, and Paul Vogt. 2017. Exploring different types of feedback in preschooler and robot interaction. In Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction. ACM, 127--128.
[4]
Avraham N Kluger and Angelo DeNisi. 1996. The effects of feedback interventions on performance: A historical review, a meta-analysis, and a preliminary feedback intervention theory. Psychological bulletin, Vol. 119, 2 (1996), 254.
[5]
Manuela Macedonia, Karsten Müller, and Angela D Friederici. 2010. Neural correlates of high performance in foreign language vocabulary learning. Mind, Brain, and Education, Vol. 4, 3 (2010), 125--134.
[6]
Omar Mubin, Catherine J Stevens, Suleman Shahid, Abdullah Al Mahmud, and Jian-Jie Dong. 2013. A review of the applicability of robots in education. Journal of Technology in Education and Learning, Vol. 1, 209-0015 (2013), 13.
[7]
Paul R Pintrich et almbox. 1991. A manual for the use of the Motivated Strategies for Learning Questionnaire (MSLQ). (1991).
[8]
Margaret Price, Karen Handley, and Jill Millar. 2011. Feedback: Focusing attention on engagement. Studies in higher education, Vol. 36, 8 (2011), 879--896.
[9]
Maha Salem, Friederike Eyssel, Katharina Rohlfing, Stefan Kopp, and Frank Joublin. 2013. To err is human (-like): Effects of robot gesture on perceived anthropomorphism and likability. International Journal of Social Robotics, Vol. 5, 3 (2013), 313--323.
[10]
Burrhus Frederic Skinner. 1990. The behavior of organisms: An experimental analysis .BF Skinner Foundation.
[11]
Rianne van den Berghe, Josje Verhagen, Ora Oudgenoeg-Paz, Sanne van der Ven, and Paul Leseman. 2019. Social robots for language learning: A review. Review of Educational Research, Vol. 89, 2 (2019), 259--295.
[12]
Olga Wojtas. 1998. Feedback? No, just give us the answers. Times Higher Education Supplement, Vol. 25, 7 (1998).

Cited By

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  • (2024)A systematic review on robot-assisted language learning for adultsFrontiers in Psychology10.3389/fpsyg.2024.147137015Online publication date: 6-Nov-2024
  • (2023)Using social robots for language learning: are we there yet?Journal of China Computer-Assisted Language Learning10.1515/jccall-2023-00133:1(208-230)Online publication date: 10-Jul-2023
  • (2022)Motivational Gestures in Robot-Assisted Language Learning: A Study of Cognitive Engagement using EEG Brain Activity2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)10.1109/RO-MAN53752.2022.9900508(1393-1398)Online publication date: 29-Aug-2022
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cover image ACM Conferences
HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
March 2020
702 pages
ISBN:9781450370578
DOI:10.1145/3371382
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 01 April 2020

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  1. feedback
  2. foreign language learning
  3. robot tutoring

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Cited By

View all
  • (2024)A systematic review on robot-assisted language learning for adultsFrontiers in Psychology10.3389/fpsyg.2024.147137015Online publication date: 6-Nov-2024
  • (2023)Using social robots for language learning: are we there yet?Journal of China Computer-Assisted Language Learning10.1515/jccall-2023-00133:1(208-230)Online publication date: 10-Jul-2023
  • (2022)Motivational Gestures in Robot-Assisted Language Learning: A Study of Cognitive Engagement using EEG Brain Activity2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)10.1109/RO-MAN53752.2022.9900508(1393-1398)Online publication date: 29-Aug-2022
  • (2021)When Preschoolers Interact with an Educational Robot, Does Robot Feedback Influence Engagement?Multimodal Technologies and Interaction10.3390/mti51200775:12(77)Online publication date: 1-Dec-2021

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