
Growth mindsets and flexible thinking in first-time online students’ self-efficacy in learning
PROCEEDING
Hungwei Tseng, Jacksonville State University, United States ; Yu-Chun Kuo, Rowan University, 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
The present study seeks to examine gender differences of the first-time online students with respect to flexible thinking and mindset and to investigate the impacts of flexible thinking, mindset, and self-efficacy in learning on the first-time online students’ online learning engagement. The findings suggested that both female and male first-time online learners were capable to adapt to changes in learning situations and accept the utilizations of new technologies. Moreover, an individual who has a growth mindset appeared to be more likely to participate in all kind of learning situations and to put more effort in dealing with challenges.
Citation
Tseng, H. & Kuo, Y.C. (2017). Growth mindsets and flexible thinking in first-time online students’ self-efficacy in learning. In P. Resta & S. Smith (Eds.), Proceedings of Society for Information Technology & Teacher Education International Conference (pp. 299-302). Austin, TX, United States: Association for the Advancement of Computing in Education (AACE). Retrieved March 7, 2021 from https://www.learntechlib.org/primary/p/177300/.
© 2017 Association for the Advancement of Computing in Education (AACE)
References
View References & Citations Map- Ashok, T.D.S. (2014). Development of a new mindset for eLearning pedagogy: for the teacher and the learner. Current Issues in Emerging eLearning, 1(1), Article 4. Available at: http://scholarworks.umb.edu/ciee/vol1/iss1/4 Barak, M., & Levenberg, A. (2016). Flexible thinking in learning: An individual differences measure for learning in technology-enhanced environments. Computers& Education, 99, 39-52.
- Cury, F., Da Fonseca, D., Zahn, I., & Elliot, A. (2008). Implicit theories and IQ test performance: A sequential mediational analysis. Journal of Experimental Social Psychology, 44, 783–791.
- Eisenberg, E., & Dowsett, T. (1990). Student dropout from a distance education project course: A new method analysis. Distance Education, 11(2), 231-253.
- Good, C., Rattan, A., & Dweck, C.S. (2012). Why do women opt out? Sense of belonging and women’s representation in mathematics. Journal of Personality and Social Psychology, 102, 700 –717.
- Keith, T.-S. (2006). Early Attrition among first time eLearners: A review of factors that contribute to dropout, withdrawal and non-completion rates of adult learners undertaking eLearning Programmes. Journal of Online Learning and Teaching, 2(2).
- Pintrich, P.R., Smith, D.A.F., Garcia, T., & McKeachie, W.J. (1991). A manual for the use of the Motivated Strategies for Learning Questionnaire (MSLQ). Report No. NCRIPTAL-91-B-004 National Center for Research to Improve Postsecondary Teaching and Learning, Ann Arbor, MI. (ED338122).
- Yeager, D.S., Johnson, R., Spitzer, B.J., Trzesniewski, K.H., Powers, J., & Dweck, C.S. (2014). The farreaching effects of believing people can change: Implicit theories of personality shape stress, health, and achievement during adolescence. Journal of Personality and Social Psychology, 106, 867–884.
- Yen, C.J., & Liu, S. (2009). Learner autonomy as a predictor of course success and final grades in community college online courses. Journal of Educational Computing Research, 41(3), 347-367.
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