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Analysing the attitude of students towards robots when lectured on programming by robotic or human teachers

Published: 02 November 2016 Publication History

Abstract

The study presented in this paper explored the acceptance of robots as teachers for a group of K-12 students. These students attended a programming session designed to applied computational principles in different fields. We have analyzed how this acceptance varies with age, and also if their opinion changes if they were exposed to a real robot teacher or not. To this end, participants (N=210) were divided in two groups, one was lectured by a teacher and the other one by a Baxter robot. We used the Negative Attitudes towards Robots Scale and the Robot Anxiety Scale questionnaires to evaluate students' perception. Statistical analysis of the answers to these questionnaires is discussed in the paper, both taking into account the whole groups and another considering three subgroups based on age. Main conclusion of the study is that the use of the robot is relevant in the perception of the students about robots, but also that age is significant in the perception of robots as potential teachers.

References

[1]
Bers, M. U., Flannery, L., Kazakoff, E. R., & Sullivan, A. (2014). Computational thinking and tinkering: Exploration of an early childhood robotics curriculum. Computers & Education, 72, 145--157.
[2]
García-Peñalvo, F. J. (2016). What Computational Thinking Is. Journal of Information Technology Research, 9(3).
[3]
García-Peñalvo, F. J. (2016). Proyecto TACCLE3 -- Coding. In F. J. García-Peñalvo & J. A. Mendes (Eds.), XVIII Simposio Internacional de Informática Educativa, SIIE 2016 (pp. 187--189). Salamanca, (Spain).
[4]
Lee, I., Martin, F., Denner, J., Coulter, B., Allan, W., Erickson, J., Smith, J.M., and Werner, L. (2011). Computational thinking for youth in practice. ACM Inroads, 2(1), 32--37.
[5]
Salvini, P. Korsah, A. and Nourbaksh, I. (2016). Yet Another Robot Application? IEEE Robotics and Automation Magazine, 23(2), 74--80.
[6]
Syrdal, D. S. Dautenhahn, K. Woods, S. Walters, M.L. and Koay K.L. (2006). Doing the right thing wrong' -- Personality and tolerance to uncomfortable robot approaches, Proc. 15th IEEE International Workshop on Robot and Human Interactive Communication(RO-MAN), pp. 183--188.
[7]
Syrdal, D. S. Dautenhahn, K. Woods, S. Walters, M.L. and Koay K.L. (2007). Looking Good? Appearance Preferences and Robot Personality Inferences at Zero Acquaintance, Multidisciplinary Collaboration for Socially Assistive. Robotics: Papers from the AAAI Spring Symposium-Technical Report SS-07-07, pp. 86--92, 2007.
[8]
Mutlu, B. Forlizzi, J. and Hodgins, J. (2006). A Storytelling Robot: Modeling and Evaluation of Human-like Gaze Behavior. IEEE-RAS International Conference on Humanoid Robots.
[9]
Nomura, T. and Takagi, S. (2011), November. Exploring effects of educational backgrounds and gender in humanrobot interaction. In 2011 International conference on user science and engineering (i-user), pp. 24--29.
[10]
Nomura, T. Suzuki, T. Kanda, T. and Kato, K. (2006). Measurment of Negative Attitudes toward Robots. Interaction Studies, Vol. 7, no.3, pp. 437--454.
[11]
Nomura, T. Kanda, T. Suzuki, T. and Kato, K. (2008). Prediction of Human Behavior in Human-Robot Interaction Using Psychological Scales for Anxiety and Negative Attitudes Toward Robots," IEEE Transactions on Robotics, vol. 24. pp. 442--451.
[12]
Tsui, K.M. M. Desai, M., Yanco, H. A., Cramer, H., & Kemper, N. (2010). Using the negative attitude toward robots scale with telepresence robots. In Proceedings of the 10th performance metrics for intelligent systems workshop (pp. 243--250).
[13]
Serholt, S., and Barendregt, W. (2014). Students' attitudes towards the possible future of social robots in education. Workshop Proceedings of RO-MAN 2014.
[14]
Lee, H. R., and Sabanović, S. (2014). Culturally variable preferences for robot design and use in South Korea, Turkey, and the United States. In Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction (pp. 17--24).

Cited By

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  • (2021)Social bots of conviction as dialogue facilitators for history education: Promoting historical empathy in teens through dialogueProceedings of the 20th Annual ACM Interaction Design and Children Conference10.1145/3459990.3460710(326-337)Online publication date: 24-Jun-2021
  • (2021)Learn with surprize from a robot professorComputers & Education10.1016/j.compedu.2021.104272173:COnline publication date: 1-Nov-2021
  • (2020)Comparing the Tangible Tutorial System and the Human Teacher in Intangible Cultural Heritage EducationProceedings of the 2020 ACM Designing Interactive Systems Conference10.1145/3357236.3395449(895-907)Online publication date: 3-Jul-2020
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TEEM '16: Proceedings of the Fourth International Conference on Technological Ecosystems for Enhancing Multiculturality
November 2016
1165 pages
ISBN:9781450347471
DOI:10.1145/3012430
Permission to make digital or hard copies of all or part 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 components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 November 2016

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Author Tags

  1. educational robotics
  2. human robot interaction
  3. learning
  4. social robotics

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  • Research-article

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TEEM'16

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TEEM '16 Paper Acceptance Rate 167 of 235 submissions, 71%;
Overall Acceptance Rate 496 of 705 submissions, 70%

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Cited By

View all
  • (2021)Social bots of conviction as dialogue facilitators for history education: Promoting historical empathy in teens through dialogueProceedings of the 20th Annual ACM Interaction Design and Children Conference10.1145/3459990.3460710(326-337)Online publication date: 24-Jun-2021
  • (2021)Learn with surprize from a robot professorComputers & Education10.1016/j.compedu.2021.104272173:COnline publication date: 1-Nov-2021
  • (2020)Comparing the Tangible Tutorial System and the Human Teacher in Intangible Cultural Heritage EducationProceedings of the 2020 ACM Designing Interactive Systems Conference10.1145/3357236.3395449(895-907)Online publication date: 3-Jul-2020
  • (2019)Humanoid Robots as Teachers and a Proposed Code of PracticeFrontiers in Education10.3389/feduc.2019.001254Online publication date: 5-Nov-2019
  • (2017)Promoting Computational Thinking in K-12 students by applying unplugged methods and roboticsProceedings of the 5th International Conference on Technological Ecosystems for Enhancing Multiculturality10.1145/3144826.3145355(1-6)Online publication date: 18-Oct-2017
  • (2016)Computational thinking in pre-university educationProceedings of the Fourth International Conference on Technological Ecosystems for Enhancing Multiculturality10.1145/3012430.3012490(13-17)Online publication date: 2-Nov-2016

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