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What We have Learned About the Impact of Dyads on Students' Self-Regulation Skills
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Rasis Alanazi, University of Connecticut, United States
Society for Information Technology & Teacher Education International Conference, in Austin, TX, United States ISBN 978-1-939797-27-8 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC USA
Abstract
Previous research has been conducted to examine different instructional practices to help college student’ improve their self-regulation skills. Furthermore, the nature of online learning environments suggest that students need to take control of their learning to succeed. Therefore, self-regulation is much emphasized in online learning environments as a necessity compared to face-to-face courses. This study examined the impact of working in dyads (group of two) on students’ self-regulation skills. The Online Self-Regulated Learning Questionnaire was administered as a pre-test and post-test. Data were collected from 23 students enrolled in two online courses. In addition, one case study was conducted. The results revealed that there were no statistically significant difference between students pretest and posttest. Therefore, working in dyads did not have an impact on students’ self-regulation skills.
Citation
Alanazi, R. (2017). What We have Learned About the Impact of Dyads on Students' Self-Regulation Skills. In P. Resta & S. Smith (Eds.), Proceedings of Society for Information Technology & Teacher Education International Conference (pp. 118-121). Austin, TX, United States: Association for the Advancement of Computing in Education (AACE). Retrieved August 9, 2024 from https://www.learntechlib.org/primary/p/177847/.
© 2017 Association for the Advancement of Computing in Education (AACE)
References
View References & Citations Map- Azevedo, R., Winters, F.I., & Moos, D.C. (2004). Can students collaboratively use hypermedia to learn science? The dynamics of self-and other-regulatory processes in an ecology classroom. Journal of Educational Computing Research, 31(3), 215-245.
- Barnard, L., Paton, V., & Lan, W. (2010). Profiles in self-regulated learning in the online learning environment. International Review of Research in Open and Distance Learning, 11(1).61-80.
- Cohen, J. (1992). A power primer. Psychological Bullentin, 112, 155-159.
- De Jong, F., Kollöffel, B., vander Meijden, H., Staarman, J.K., & Janssen, J. (2005). Regulative processes in individual, 3D, and computer supported cooperative learning contexts. Computers in Human Behavior, 21, 645-670.
- Liu, E.Z., Lin, C., Jian, P., & Liou, P. (2012). The dynamics of motivation and learning strategy in a creativity-supporting learning environment in higher education. Turkish Online Journal of Educational Technology, 11 (1), 172–180. Retrieved from http://www.tojet.net/articles/v11i1/11116.pdf Loftus, G.R., & Masson, M.E.J. (1994). Using confidence intervals in within-subject designs. Psychological Bullentin and review, 1, 476-490.
- Posten, H.O. (1984). Robustness of the two-sample t-test. In D. Rasch and M.L. Tiku (Eds.), Robustness of statistical methods and non parametrics statistics (pp.92-99). Dordrecht, Germany: Reidel.
- Salonen, P., Vauras, M., & Efklides, A. (2005). Social interaction-What can it tell us about metacognition and coregulation in learning? European Psychologist, 10(3), 199-208.
- Thoresen, C.E., & Mahoney, M.J. (1974). Behavioral self-control. New York, NY: Holt, Rinehart& Winston. Zeidner (Eds.), Handbook of self-regulation (pp. 13–39). San Diego, CA: Academic Press.
- Zimmerman, B.J. (2000). Attaining self-regulation: A social cognitive perspective. In M. Boekaerts, P.R. Pintrich, & M.
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