Social Robots in Education for Long-Term Human-Robot Interaction : Socially Supportive Behaviour of Robotic Tutor for Creating Robo-Tangible Learning Environment in a Guided Discovery Learning Interaction

Main Article Content

Article Sidebar

Published Oct 19, 2021
Ashraf Alam

Abstract

The application of virtual pedagogical agents and intelligent tutoring systems (ITSs) in education has been around for a long period of time. In an educational environment, social robots may be used as teachers or peer learners. Educators are considering to engage social robots in assisting students in the same manner that humans have done for earlier generations. When used on restricted tasks, they have shown to improve cognitive and affective domains of learners and have provided results similar to those achieved via human tutoring. According to recent researches on long-term human-robot interaction (HRI), it has been found that social robots are becoming more prevalent in educational settings. This is largely because of their physical presence, which traditional learning technologies lack. The article discusses the possible uses of social robots in education, the technological and pedagogical challenges they provide, and the ways in which they may affect learning outcomes. In contrast to previous researches that are mainly focussed on the use of robots as pedagogical tools in STEM education, this article concentrates only on robots intended to assist students in learning via social interaction. Author has highlighted three significant research problems: (1) Does robot tutors help improve students’ learning outcomes? (2) Does appearance and behaviour of robot have a significant role to play on academic engagement of learners? (3) What could be the potential roles of a robot in an educational setting? A statistical meta-analysis of previously published research articles is used to substantiate author's claims. The larger aim of this article is to provide effective groundwork for future research by describing the expected outcomes of using social robots to offer education and identifying potential research areas for further inquiry.

How to Cite

Alam, A. (2021). Social Robots in Education for Long-Term Human-Robot Interaction : Socially Supportive Behaviour of Robotic Tutor for Creating Robo-Tangible Learning Environment in a Guided Discovery Learning Interaction. SPAST Abstracts, 1(01). Retrieved from https://spast.org/techrep/article/view/2862
Abstract 176 |

Article Details

Keywords

Robots for Education, Intelligent Tutoring Systems, Human-Robot Interaction, Social Robots as Tutoring Agents, Curriculum, Pedagogy, Robot Tutors

References
1. N. C. Krämer, G. Bente, Personalizing e-Learning. The social effects of pedagogical agents. Educ. Psychol. Rev. 22, 71–87 (2010).

2. J. A. Kulik, J. D. Fletcher, Effectiveness of intelligent tutoring systems: A meta-analytic review. Rev. Educ. Res. 86, 42–78 (2016).

3. J. Kennedy, P. Baxter, E. Senft, T. Belpaeme, in Proceedings of the International Conference on Social Robotics (Springer, 2015), pp. 327 336.

4. A. Ramachandran, A. Litoiu, B. Scassellati, in Proceedings of the 11th ACM/IEEE Conference on Human-Robot Interaction (IEEE, 2016), pp. 247–254.

5. F. Tanaka, S. Matsuzoe, Children teach a care-receiving robot to promote their learning: Field experiments in a classroom for vocabulary learning. J. Hum. Robot Interact. 1, 78–95 (2012).

6. I. Leite, C. Martinho, A. Paiva, Social robots for long-term interaction: A survey. Int. J. Soc. Robot. 5, 291–308 (2013).

7. J. Han, Robot-Aided Learning and r-Learning Services (INTECH Open Access Publisher, 2010).

8. O. Mubin, C. J. Stevens, S. Shahid, A. Al Mahmud, J.-J. Dong, A review of the applicability of robots in education. J. Technol. Educ. Learning 1, 1–7 (2013).

9. J. Gorham, The relationship between verbal teacher immediacy behaviors and student learning. Commun. Educ. 37, 40–53 (1988).

10. P. L. Witt, L. R. Wheeless, M. Allen, A meta‐analytical review of the relationship between teacher immediacy and student learning. Commun. Monogr. 71, 184–207 (2004).
Section
General Session: Technologies For Smart Connected Societies