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Students' Attitudes and Motivation During Robotics Activities

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Published:09 November 2015Publication History

ABSTRACT

This work investigates students' attitudes towards and motivation for learning robotics and STEM (Science, Technology, Engineering, and Mathematics). The population consisted of middle-school students (ages 13-15 years) who participated in the FIRST® LEGO® League competition. The methodology used both qualitative and quantitative instruments: questionnaires, observations and interviews during the school year 2012--2013. Research continued with one group during 2013--2014. Four categories were investigated: intrinsic and extrinsic motivation, self-determination and self-efficacy, as well as other environmental factors (gender, peers, parents and teachers). The results showed no significant difference between the beginning and end of the activities on all the categories. We consider this as a positive indicator, since most of the students demonstrated high and positive attitudes toward and motivation for learning robotics at the beginning of the activities and maintained the results after the activities. The environmental factors played an important role in positively influencing students' attitudes and motivation. In particular, females showed more positive attitudes and motivation at the end of the activities.

References

  1. Anderson, M., McKenzie, A., Wellman, B., Brown, M., & Vrbsky, S. 2011. Affecting Attitudes in First-year Computer Science using Syntax-free Robotics Programming. ACM Indroads, 2(3), 51--57. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Apiola, M., Lattu, M. & Pasanen, T. 2010. Creativity and Intrinsic Motivation in Computer Science Education: Experimenting with Robots. In Proceedings of the 15th Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE'10). 199--203. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Avsec, S., Rihtarsic, D. & Kocijancic, S. 2014. A Predictive Study of Learner Attitudes Toward Open Learning in Roboitcs Class. Journal of Science Education and Technology. 23. Springer, New York 692--704.Google ScholarGoogle Scholar
  4. Bandura, A. 1982. Self-efficacy Mechanism in Human Agency. American Psychologist 37, 122--147Google ScholarGoogle ScholarCross RefCross Ref
  5. Bandura, A. 1997. Self-Efficacy: The Exercise of Control. Freeman, New York.Google ScholarGoogle Scholar
  6. Chi, M. 1997. Quantifying qualitative analyses of verbal data: A practical guide. The Journal of the Learning Sciences, 6(3), 271--315.Google ScholarGoogle ScholarCross RefCross Ref
  7. Fortus, D. 2014. Attending to Affect. Journal of Research in Science Teaching, 51(7), 821--835.Google ScholarGoogle ScholarCross RefCross Ref
  8. Glynn, S. M., Brickman, P., Armstrong, N., & Taasoobshirazi, G. 2011. Science Motivation Questionnaire II: Validation with Science Majors and Nonscience Majors. Journal of Research in Science Teaching, 1--18.Google ScholarGoogle ScholarCross RefCross Ref
  9. Lauwers, T., Nourbakhsh, I., & Hamner, I. 2009. CSbots: Design and Deployment of a Robot Designed for the CS1 Classroom. ACM SIGCSE Bulletin, 41(1), 428--432. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. McGill, M. M. 2012. Learning to Program with Personal Robots: Influences on Student Motivation. ACM Transactions on Computing Education, 12(1). 1--32 Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. McWhorter, W., & O'Connor, B., 2009. Do LEGO Mindstorms motivate students in CS1?. ACM SIGCSE'09 Bulletin 41(1). 438--442. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Melchior, A., Cohen, F., Cutter, T., & Leavitt, T. 2005. More than Robots: An Evaluation of the FIRST Robotics Competition Participant and Institutional Impacts: Center for Youth and Communities, Brandeis University.Google ScholarGoogle Scholar
  13. Miller, D. P., & Stein, C. 2000. (So That's Pi is For!) and Other Educational Epiphanies from Hands-on Robotics: Morgan Kaufmann.Google ScholarGoogle Scholar
  14. Osborne, J., Simon, S., & Collins, S. 2003. Attitudes towards science: a review of the literature and its implications. International Journal of Science Education, 25(9), 1049--1079.Google ScholarGoogle ScholarCross RefCross Ref
  15. Pintrich, R. R., & DeGroot, E. V. 1990. Motivational and Self-regulated learning components of classroom academic performance, Journal of Educational Psychology, 82, 33--40.Google ScholarGoogle ScholarCross RefCross Ref
  16. Ryan, R. M. & Deci, E. L. 2000. Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68--78.Google ScholarGoogle ScholarCross RefCross Ref
  17. Vedder-Weiss, D., & Fortus, D. 2011. Adolescents' declining motivation to learn science: Inevitable or not? Journal of Research in Science Teaching, 48(2), 199--216.Google ScholarGoogle ScholarCross RefCross Ref
  18. Verner, I. M., & Ahlgren, D. J. 2004. Robot Contest as a Laboratory for Experiential Engineering Education. ACM Journal on Educational Resources in Computing, 4(2), 1--15. Google ScholarGoogle ScholarDigital LibraryDigital Library

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              cover image ACM Other conferences
              WiPSCE '15: Proceedings of the Workshop in Primary and Secondary Computing Education
              November 2015
              149 pages
              ISBN:9781450337533
              DOI:10.1145/2818314

              Copyright © 2015 ACM

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              Publication History

              • Published: 9 November 2015

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