Adoptinge educational robotics to enhance undergraduate students’ self-efficacy levels of computational thinking
DOI:
https://doi.org/10.36681/Keywords:
Computational Thinking Skill, educational robotics, self-efficafy, STEM LearningAbstract
Computational Thinking (CT) skill, as an essential 21st-century skill, is an important problem-solving and survival abilities in the era of disruption. Universal principles generating a pattern of abstraction develop step-by-step troubleshooting instructions in solving similar problems, perceiving similarities/differences between the patterns, and making a complex problem solvable. The skill could be applied to various engineering fields by emphasising efficiency, accuracy, and capability of problem-solving. Recently, robot enthusiasts in Science, Technology, Engineering and Math (STEM) learning that involves ‘assembling, programming and testing’ activities, underscore CT skills. This research explores the CT pattern along with participants-developed robotics activities.
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References
Ackermann, E. (2001). Piaget’s constructivism, Papert’s constructionism: What’s the difference. Future of learning group publication, 5(3), 1-11.
Alimisis, D., Arlegui, J., Fava, N., Frangou, S., Ionita, S., Menegatti, E., ... Pina, A. (2010). Introducing robotics to teachers and schools: experiences from the TERECoP project. Proceedings for Constructionism, 1, 1-10.
Alimisis, D. (2012). Robotics in education & education in robotics: Shifting focus from technology to pedagogy. In Proceedings of the 3rd International Conference on Robotics in Education, 7-14.
Alimisis, D., Moro, M., Arlegui, J., Pina, A., Frangou, S., & Papanikolaou, K. (2007, August). Robotics & constructivism in education: The TERECoP project. In EuroLogo 40, 19-24.
Atmatzidou, S., & Demetriadis, S. (2014). How to Support Students’ Computational Thinking Skills in Educational Robotics Activities. Paper presented at the Proceedings of 4th International Workshop Teaching Robotics, Teaching with Robotics & 5th International Conference Robotics in Education, Padova, Italy.
Atmatzidou, S., & Demetriadis, S. (2016). Advancing students’ computational thinking skills through educational robotics: A study on age and gender relevant differences. Robotics and Autonomous Systems, 75, 661-670.
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.
Bocconi, S., Chioccariello, A., Dettori, G., Ferrari, A., Engelhardt, K., Kampylis, P., & Punie, Y. (2016). Developing computational thinking in compulsory education. European Commission, JRC Science for Policy Report.
Brennan, K., & Resnick, M. (2012, April). New frameworks for studying and assessing the development of computational thinking. In Proceedings of the 2012 annual meeting of the American Educational Research Association, Vancouver, Canada, 1-25.
Catlin, D., & Woollard, J. (2014, July). Educational robots and computational thinking. In Proceedings of 4th International Workshop Teaching Robotics, Teaching with Robotics & 5th International Conference Robotics in Education, 144-151.
Cresswell, J. W. (2014). Penelitian kualitatif & desain riset. Yogyakarta: Pustaka Pelajar.
Eguchi, A. (2014, July). Robotics as a learning tool for educational transformation. In Proceeding of 4th International Workshop Teaching Robotics, Teaching with Robotics & 5th International Conference Robotics in Education Padova (Italy).
Kamal, F., Budiyanto, C. W., & Efendi, A. (2018, November). Understanding students behavior during the adoption of modular robotics in learning. In IOP Conference Series: Materials Science and Engineering, 434(1), p. 012263. IOP Publishing.
Karim, M. E., Lemaignan, S., & Mondada, F. (2015). A review: Can robots reshape K-12 STEM education?. In Advanced Robotics and its Social Impacts (ARSO), 2015 IEEE International Workshop on,1-8. IEEE.
Kazimoglu, C., Kiernan, M., Bacon, L., & Mackinnon, L. (2012). A serious game for developing computational thinking and learning introductory computer programming. Procedia-Social and Behavioural Sciences, 47, 1991-1999.
Miglino, O., Lund, H. H., & Cardaci, M. (1999). Robotics as an educational tool. Journal of Interactive Learning Research, 10(1), 25.
Miles, M. B., Huberman, A. M., & Saldana, J. (1984). Qualitative Data Analysis: A Methods Sourcebook. Sage Publications Ltd (CA).
Papert, S. (1980). Mindstorms: Children, computers, and powerful ideas. New York: Basic Books, Inc.
Weese, J. L., & Feldhausen, R. (2017). STEM Outreach: Assessing Computational Thinking and Problem Solving. Paper presented at the 2017 ASEE Annual Conference & Exposition.
Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33-35.
Wing, J. M. (2008). Computational thinking and thinking about computing. Philosophical Transactions of the royal society of London A: mathematical, physical and engineering sciences, 366(1881), 3717-3725.
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