Factors that impact social networking in online self-regulated learning activities-Reference-Cited by-同舟云学术

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Factors that impact social networking in online self-regulated learning activities

Published:2020-10-13 Issue:6 Volume:68 Page:3077-3095
ISSN:1042-1629
Container-title:Educational Technology Research and Development
language:en
Short-container-title:Education Tech Research Dev

Author:

Yu Xiaohua,Wang Charles Xiaoxue,Spector J. Michael

Funder

Peak Discipline Construction Project of Education at East China Normal University

Advantage Discipline Innovation Platform Principal Investigator Construction Project of Teacher Education at East China Normal University

Publisher

Springer Science and Business Media LLC

Subject

Education

Link

https://link.springer.com/content/pdf/10.1007/s11423-020-09843-9.pdf

Reference53 articles.

1. Alloway, T. P., Horton, J., Alloway, R. G., & Dawson, C. (2013). Social networking sites and cognitive abilities: do they make you smarter? Computers & Education, 63, 10–16. https://doi.org/10.1016/j.compedu.2012.10.030.

2. Altermatt, E. R., & Pomerantz, E. M. (2003). The development of competence-related and motivational beliefs: an investigation of similarity and influence among friends. Journal of Educational Psychology, 95(1), 111–123. https://doi.org/10.1037/0022-0663.95.1.111.

3. Aydin, S. (2012). A review of research on Facebook as an educational environment. Educational Technology Research and Development, 60(6), 1093–1106. https://doi.org/10.1007/s11423-012-9260-7.

4. Azar, H. K., Lavasani, M. G., Malahmadi, E., & Amani, J. (2010). The role of self-efficacy, task value, and achievement goals in predicting learning approaches and mathematics achievement. Procedia Social and Behavioral Sciences, 5, 942–947. https://doi.org/10.1016/j.sbspro.2010.07.214.

5. Bakshy, E., Hofman, J. M., Mason, W. A., & Watts, D. J. (2011). Everyone’s an influencer: quantifying influence on twitter. In Proceedings of the fourth ACM international conference on Web search and data mining (pp. 65–74). Washington, DC: Association for Computing Machinery (ACM). Doi:10.1145/1935826.1935845

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