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Journal of Robotics
Volume 2018, Article ID 4578762, 11 pages
https://doi.org/10.1155/2018/4578762
Review Article

Learning by Teaching with Humanoid Robot: A New Powerful Experimental Tool to Improve Children’s Learning Ability

1P-A-R-I-S Association, 25 rue Henri Barbusse, 75005 Paris, France
2Laboratoire CHArt, Université Paris VIII, EPHE, 4-14 rue Ferrus, 75014 Paris, France
3Université de Cergy-Pontoise, 33 boulevard du Port, 95011 Cergy-Pontoise Cedex, France
4Facultés Libres de Philosophie et de Psychologie (IPC), 70 av. Denfert-Rochereau, 75014 Paris, France
5Institut Jean Nicod (IJN), École Normale Supérieure (ENS), 29 rue d’Ulm, 75005 Paris, France

Correspondence should be addressed to Jean Baratgin; rf.8sirap-vinu@nigtarab.naej

Received 31 August 2018; Revised 26 October 2018; Accepted 1 November 2018; Published 18 November 2018

Academic Editor: Gordon R. Pennock

Copyright © 2018 Frank Jamet et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. L. Fiorella and R. E. Mayer, “The relative benefits of learning by teaching and teaching expectancy,” Contemporary Educational Psychology, vol. 38, no. 4, pp. 281–288, 2013. View at Publisher · View at Google Scholar · View at Scopus
  2. W. J. Mchugh, “Team Learning in Skills Subjects in Intermediate Grades,” Journal of Education, vol. 142, no. 2, pp. 22–51, 2018. View at Publisher · View at Google Scholar
  3. G. Biswas, K. Lee, L. K. Belynne et al., “Incorporating self regulated learning techniques into learning by teaching environments,” in Proceedings of the 26th Annual Meeting of the Cognitive Science Society, pp. 120–125, 2004.
  4. E. Yadollahi, W. Johal, A. Paiva, and P. Dillenbourg, “When deictic gestures in a robot can harm child-robot collaboration,” in Proceedings of the the 17th ACM Conference, pp. 195–206, New York, NY, USA, June 2018. View at Publisher · View at Google Scholar
  5. F. Tanaka and S. Matsuzoe, “Children Teach a Care-Receiving Robot to Promote Their Learning: Field Experiments in a Classroom for Vocabulary Learning,” Journal of Human-Robot Interaction, pp. 78–95, 2012. View at Publisher · View at Google Scholar
  6. D. Hood, S. Lemaignan, and P. Dillenbourg, “When Children Teach a Robot to Write: An Autonomous Teachable Humanoid Which Uses Simulated Handwriting,” in Proceedings of the 10th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2015, pp. 83–90, New York, NY, USA, March 2015. View at Scopus
  7. S. Lemaignan, A. Jacq, D. Hood, F. Garcia, A. Paiva, and P. Dillenbourg, “Learning by Teaching a Robot: The Case of Handwriting,” IEEE Robotics and Automation Magazine, vol. 23, no. 2, pp. 56–66, 2016. View at Publisher · View at Google Scholar · View at Scopus
  8. E. S. Kim, D. Leyzberg, K. M. Tsui, and B. Scassellati, “How people talk when teaching a robot,” in Proceedings of the 4th ACM/IEEE International Conference on Human-Robot Interaction, HRI'09, pp. 23–30, USA, March 2009. View at Scopus
  9. W. Johal, J. Kennedy, V. Charisi, H. W. Park, G. Castellano, and P. Dillenbourg, “Robots for Learning - R4L,” in Proceedings of the Companion of the 2018 ACM/IEEE International Conference, pp. 397-398, Chicago, IL, USA, March 2018. View at Publisher · View at Google Scholar
  10. S. Chandra, R. Paradeda, H. Yin, P. Dillenbourg, R. Prada, and A. Paiva, “Affect of Robot's Competencies on Children's Perception,” in Proceedings of the inProceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (AAMAS '17, pp. 1490–1492, Richland, CA, USA, 2017.
  11. O. Masson, J. Baratgin, F. Jamet, F. Ruggieri, and D. Filatova, “Use a robot to serve experimental psychology: Some examples of methods with children and adults,” in Proceedings of the 2016 International Conference on Information and Digital Technologies, IDT 2016, pp. 190–197, Rzeszo, Poland, July 2016. View at Scopus
  12. O. Masson, J. Baratgin, and F. Jamet, “NAO robot, a social clues transmitter: what impacts? The example with endowment effect,” in Proceedings of the 30th International Conference on Industrial, Engineering, Other Applications of Applied Intelligent Systems (IEA/AIE), pp. 559–568, Université d’Artois, Arras, France, 2017.
  13. C. C. Chase, D. B. Chin, M. A. Oppezzo, and D. L. Schwartz, “Teachable agents and the protégé effect: Increasing the effort towards learning,” Journal of Science Education and Technology, vol. 18, no. 4, pp. 334–352, 2009. View at Publisher · View at Google Scholar · View at Scopus
  14. T. Chaffey, H. Kim, E. Nobrega, N. Lubold, and H. Pon-Barry, “Dyadic Stance in Natural Language Communication with a Teachable Robot,” in Proceedings of the Companion of the 2018 ACM/IEEE International Conference, pp. 85-86, Chicago, IL, USA, March 2018. View at Publisher · View at Google Scholar
  15. F. Jimenez, T. Yoshikawa, T. Furuhashi, M. Kanoh, and T. Nakamura, “Feasibility of Collaborative Learning between Robots and Children with Autism Spectrum Disorders,” in Proceedings of the International Workshop on Intervention of Children with Autism Spectrum Disorders using a Humanoid Robot, 2015.
  16. F. Jimenez, T. Yoshikawa, T. Furuhashi, M. Kanoh, and T. Nakamura, “Collaborative learning between robots and children with potential symptoms of a developmental disability,” in Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1–5, November 2017. View at Publisher · View at Google Scholar
  17. O. Mubin, C. J. Stevens, S. Shahid, A. A. Mahmud, and J. Dong, “A review of the applicability of robots in education,” Technology for Education and Learning, vol. 1, no. 1, 2013. View at Publisher · View at Google Scholar
  18. A. K. Pandey and R. Gelin, “Humanoid robots in education: A Short Review,” in Humanoid Robotics: A Reference, A. Goswami and P. Vadakkepat, Eds., Springer Science, 2017. View at Google Scholar
  19. M. Alemi, A. Meghdari, and M. Ghazisaedy, “The Impact of Social Robotics on L2 Learners’ Anxiety and Attitude in English Vocabulary Acquisition,” International Journal of Social Robotics, vol. 7, no. 4, pp. 523–535, 2015. View at Publisher · View at Google Scholar · View at Scopus
  20. A. N. Meltzoff, R. Brooks, A. P. Shon, and R. P. N. Rao, “"Social" robots are psychological agents for infants: A test of gaze following,” Neural Networks, vol. 23, no. 8-9, pp. 966–972, 2010. View at Publisher · View at Google Scholar · View at Scopus
  21. C.-W. Chang, J.-H. Lee, P.-Y. Chao, C.-Y. Wang, and G.-D. Chen, “Exploring the possibility of using humanoid robots as instructional tools for teaching a second language in primary school,” Journal of Educational Technology & Society, vol. 3, no. 2, pp. 13–24, 2010. View at Google Scholar
  22. J. Han, M. Jo, V. Jones, and J. Jo, “Comparative Study on the Educational Use of Home Robots for Children,” Journal of Information Processing Systems, vol. 4, no. 4, pp. 159–168, 2008. View at Publisher · View at Google Scholar
  23. J. Choi, J. Lee, and J. Han, “Comparison of Cultural Acceptability for Educational Robots between Europe and Korea,” Journal of Information Processing Systems, vol. 4, no. 3, pp. 97–102, 2008. View at Publisher · View at Google Scholar
  24. . Han, “The Cross-cultural Acceptance of Tutoring Robots with Augmented Reality Services,” International Journal of Digital Content: Technology and its Applications, vol. 3, no. 2, 2009. View at Publisher · View at Google Scholar
  25. Y. C. Lin, T. C. Liu, M. Chang, and S. P. Yeh, “Exploring children’s perceptions of the robots,” Lecture notes in computer science, vol. 5670, pp. 512–517, 2009. View at Google Scholar
  26. S. Chandra, R. Paradeda, H. Yin, P. Dillenbourg, R. Prada, and A. Paiva, “Do Children Perceive Whether a Robotic Peer is Learning or Not?” in Proceedings of the the 2018 ACM/IEEE International Conference, pp. 41–49, Chicago, IL, USA, March 2018. View at Publisher · View at Google Scholar
  27. W. Johal, A. Jacq, A. Paiva, and P. Dillenbourg, “Child-robot spatial arrangement in a learning by teaching activity,” in Proceedings of the 25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016, pp. 533–538, August 2016. View at Scopus
  28. F. Tanaka, K. Isshiki, F. Takahashi, M. Uekusa, R. Sei, and K. Hayashi, “Pepper learns together with children: Development of an educational application,” in Proceedings of the 15th IEEE RAS International Conference on Humanoid Robots, Humanoids 2015, pp. 270–275, Seoul, Republic of Korea, November 2015. View at Scopus
  29. M. Lindberg, K. Månsson, B. Johansson, A. Gulz, and C. Balkenius, “Does a robot tutee increase children’s engagement in a learning-by-teaching situation?” in Intelligent Virtual Agents, J. Beskow, C. Peters, G. Castellano, C. O'Sullivan, I. Leite, and S. Kopp, Eds., Lecture Notes in Computer Science, pp. 243–246, 2017. View at Google Scholar
  30. A. Jacq, S. Lemaignan, F. Garcia, P. Dillenbourg, and A. Paiva, “Building successful long child-robot interactions in a learning context,” in Proceedings of the 11th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2016, pp. 239–246, March 2016. View at Scopus
  31. T. Belpaeme, J. Kennedy, A. Ramachandran, B. Scassellati, and F. Tanaka, “Social robots for education: A review,” Science Robotics, vol. 3, no. 21, p. eaat5954, 2018. View at Publisher · View at Google Scholar
  32. F. Erich, M. Hirokawa, and K. Suzuki, “A Systematic Literature Review of Experiments in Socially Assistive Robotics using Humanoid Robots,” 2017, https://arxiv.org/abs/1711.05379.
  33. E. Mwangi, M. Diaz, E. Barakova, A. Catala, and M. Rauterberg, “Can children take advantage of nao gaze-based hints during gameplay?” in Proceedings of the 5th International Conference on Human Agent Interaction, HAI 2017, pp. 421–424, October 2017. View at Scopus
  34. N. Akalin, P. Uluer, H. Kose, and G. Ince, “Humanoid robots communication with participants using sign language: An interaction based sign language game,” in Proceedings of the 2013 IEEE Workshop on Advanced Robotics and Its Social Impacts, ARSO 2013, pp. 181–186, Japan, November 2013. View at Scopus
  35. E. J. G. Van Der Drift, R.-J. Beun, R. Looije, O. A. B. Henkemans, and M. A. Neerincx, “A remote social robot to motivate and support diabetic children in keeping a diary,” in Proceedings of the 9th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2014, pp. 463–470, March 2014. View at Scopus
  36. K. S. Goodman, “Analysis of Oral Reading Miscues: Applied Psycholinguistics,” Reading Research Quarterly, vol. 5, no. 1, p. 9, 1969. View at Publisher · View at Google Scholar
  37. K. S. Goodman, “Miscue analysis: Applications to reading instruction,” ERIC Clearinghouse on Reading and Communication Skills, 1973. View at Google Scholar
  38. J. Hattie and H. Timperley, “The power of feedback,” Review of Educational Research, vol. 77, no. 1, pp. 81–112, 2007. View at Publisher · View at Google Scholar · View at Scopus
  39. J. Bitchener, “Evidence in support of written corrective feedback,” Journal of Second Language Writing, vol. 17, no. 2, pp. 102–118, 2008. View at Publisher · View at Google Scholar · View at Scopus
  40. S. Graham, K. R. Harris, L. Mason, B. Fink-Chorzempa, S. Moran, and B. Saddler, “How do primary grade teachers teach handwriting? A national survey,” Reading and Writing, vol. 21, no. 1-2, pp. 49–69, 2008. View at Publisher · View at Google Scholar · View at Scopus
  41. S. Graham, N. Weintraub, and V. Berninger, “Which manuscript letters do primary grade children write legibly?” Journal of Educational Psychology, vol. 93, no. 3, pp. 488–497, 2001. View at Publisher · View at Google Scholar
  42. F. Tanaka, A. Cicourel, and J. R. Movellan, “Socialization between toddlers and robots at an early childhood education center,” Proceedings of the National Acadamy of Sciences of the United States of America, vol. 104, no. 46, pp. 17954–17958, 2007. View at Publisher · View at Google Scholar · View at Scopus
  43. J. J. Asher, “The Total Physical Response Approach to Second Language Learning,” The Modern Language Journal, vol. 53, no. 1, pp. 3–17, 1969. View at Publisher · View at Google Scholar · View at Scopus
  44. J. Piaget, “La notion de partie chez lenfant , [The notion of part in children],” Journal de psychologie normale et pathologique, vol. 18, no. 6, pp. 359–480, 1921. View at Google Scholar
  45. J. Piaget and A. Szeminska, La genèse du nombre chez l’enfant [The origin of number in children], Delachaux et Niestlée, Neuchâtel, Switzerland, 1941.
  46. G. Politzer, “The class inclusion question: a case study in applying pragmatics to the experimental study of cognition,” SpringerPlus, vol. 5, no. 1, 2016. View at Google Scholar · View at Scopus
  47. J. D. Lane, H. M. Wellman, and S. A. Gelman, “Informants' traits weigh heavily in young children's trust in testimony and in their epistemic inferences,” Child Development, vol. 84, no. 4, pp. 1253–1268, 2013. View at Publisher · View at Google Scholar · View at Scopus
  48. C. A. Rohrbeck, M. D. Ginsburg-Block, J. W. Fantuzzo, and T. R. Miller, “Peer-assisted learning interventions with elementary school students: A meta-analytic review,” Journal of Educational Psychology, vol. 95, no. 2, pp. 240–257, 2003. View at Publisher · View at Google Scholar · View at Scopus
  49. L. Takayama and C. Pantofaru, “Influences on proxemic behaviors in human-robot interaction,” in Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009, pp. 5495–5502, USA, October 2009. View at Scopus
  50. A. Kristoffersson, K. Severinson Eklundh, and A. Loutfi, “Measuring the Quality of Interaction in Mobile Robotic Telepresence: A Pilot's Perspective,” International Journal of Social Robotics, vol. 5, no. 1, pp. 89–101, 2013. View at Publisher · View at Google Scholar · View at Scopus
  51. D. Leyzberg, S. Spaulding, and B. Scassellati, “Personalizing robot tutors to individuals' learning differences,” in Proceedings of the 9th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2014, pp. 423–430, Germany, March 2014. View at Scopus
  52. P. Lesage, “La pédagogie dans les écoles mutuelles au XIXe siècle,” Revue française de pédagogie, vol. 31, no. 1, pp. 62–70, 1975. View at Publisher · View at Google Scholar
  53. J.-P. Martin, “Quand les élèves font la classe” [When children teach],” Franτais dans le monde, no. 224, pp. 51–55, 1989. View at Google Scholar
  54. A. Renkl, Lernen durch Lehren, Deutscher Universitätsverlag, Wiesbaden, 1997. View at Publisher · View at Google Scholar
  55. J.-P. Martin, “Treibhäuser der Zukunft, Wie in Deutschland Schulen gelingen [How German schools succeed],” eine Dokumentation von Reinhard Kahl und der Deutschen Kinderund Jugendstiftung, 2004. View at Google Scholar
  56. L. Pareto and R. A. Tutee, Robotics in Education, Springer International Publishing, 2017.
  57. B. Jacquet, J. Baratgin, and F. Jamet, “The Gricean Maxims of Quantity and of Relation in the Turing Test,” in Proceedings of the 2018 11th International Conference on Human System Interaction (HSI), pp. 332–338, Gdansk, July 2018. View at Publisher · View at Google Scholar
  58. B. Jacquet, O. Masson, F. Jamet, and J. Baratgin, “On the Lack of Pragmatic Processing in Artificial Conversational Agents,” in Human Systems Engineering and Design, vol. 876 of Advances in Intelligent Systems and Computing, pp. 394–399, Springer International Publishing, Cham, 2019. View at Publisher · View at Google Scholar
  59. F. Jamet, J. Baratgin, and D. Filatova, “Global warming and sea level rise: the intellect development study of preadolescents and adolescents from 11 to 15 years old,” Studia Pedagogiczne, vol. 24, pp. 361–380, 2014. View at Google Scholar
  60. O. Masson, J. Baratgin, and F. Jamet, “NAO robot and the "endowment effect",” in Proceedings of the IEEE International Workshop on Advanced Robotics and its Social Impacts, ARSO 2015, Lyon, France, July 2015. View at Scopus
  61. O. Masson, J. Baratgin, and F. Jamet, “NAO robot as experimenter: Social cues emitter and neutralizer to bring new results in experimental psychology,” in Proceedings of the 2017 International Conference on Information and Digital Technologies, IDT 2017, pp. 256–264, Slovakia, July 2017. View at Scopus