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How to facilitate self-regulated learning? A case study on open educational resources

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Abstract

This paper investigates the students’ self-regulated learning in elementary education when traditional teaching method, which is teacher centered in a classroom, is replaced with a blended approach enriched with open educational resources. Various open educational resources such as videos, simulations, and learning games are readily available on the Web. In addition, mobile and classroom technologies, such as portable devices can be considered as teaching tools in education. The good use of these educational resources and technologies can not only assist students’ formal classroom learning but also cultivate the self-regulated learning of students. The i-Classroom implemented in an elementary school adopted a new teaching method, which made use of the online educational resources and information technology, to achieve this goal. Three surveys (Sample size N = 149, N = 168, N = 150) were conducted to investigate the effectiveness of promoting three key aspects of self-regulated learning: learning motivation, planning and management, and self-monitoring. Focus group interviewed was also carried out to collect the feedback in i-classroom learning. The results show that i-Classroom can help students to enhance their ability in self-regulated learning.

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Notes

  1. www.moodle.org.

  2. www.blackboard.com.

  3. www.schoology.com.

References

  • Broadbent, J., & Poon, W. L. (2015). Self-regulated learning strategies & academic achievement in online higher education learning environments: A systematic review. The Internet and Higher Education,27, 1–13.

    Article  Google Scholar 

  • Burden, P. (2016). Classroom management: Creating a successful K-12 learning community. New York: Wiley.

    Google Scholar 

  • Chen, C. M. (2009). Personalized E-learning system with self-regulated learning assisted mechanisms for promoting learning performance. Expert Systems with Applications,36(5), 8816–8829.

    Article  Google Scholar 

  • Conradie, P. W. (2014). Supporting self-directed learning by connectivism and personal learning environments. International Journal of Information and Education Technology,4(3), 254–259.

    Article  Google Scholar 

  • Dabbagh, N., & Kitsantas, A. (2005). Using web-based pedagogical tools as scaffolds for self-regulated learning. Instructional Science,33(5), 513–540.

    Article  Google Scholar 

  • Dabbagh, N., & Kitsantas, A. (2012). Personal learning environments, social media, and self-regulated learning: A natural formula for connecting formal and informal learning. The Internet and higher education,15(1), 3–8.

    Article  Google Scholar 

  • Hodgkinson-Williams, C. (2010). Benefits and challenges of OER for higher education institutions. Paper presented at the Open Educational Resources (OER) Workshop for Heads of Commonwealth Universities, Capetown, South Africa.

  • Kirkpatrick, R., & Zang, Y. (2011). The negative influences of exam-oriented education on Chinese high school students: Backwash from classroom to child. Language testing in Asia,1(3), 36.

    Article  Google Scholar 

  • Kizilcec, R. F., Pérez-Sanagustín, M., & Maldonado, J. J. (2017). Self-regulated learning strategies predict learner behavior and goal attainment in Massive Open Online Courses. Computers & Education,104, 18–33.

    Article  Google Scholar 

  • Locke, E. A., & Latham, G. P. (2002). Building practically useful theory of goal setting and task motivation. American Psychologist,57, 705–717.

    Article  Google Scholar 

  • Martin, A. J. (2004). School motivation of boys and girls: Differences of degree, differences of kind, or both? Australian Journal of Psychology,56(3), 133–146.

    Article  Google Scholar 

  • McKerlich, R. C., Ives, C., & McGreal, R. (2013). Measuring use and creation of open educational resources in higher education. The International Review of Research in Open and Distributed Learning. https://doi.org/10.19173/irrodl.v14i4.1573.

    Article  Google Scholar 

  • Narciss, S., Proske, A., & Koerndle, H. (2007). Promoting self-regulated learning in web-based learning environments. Computers in Human Behavior,23(3), 1126–1144.

    Article  Google Scholar 

  • Newman, R. S. (1991). Goals and self-regulated learning: What motivates children to seek academic help? Advances in Motivation and Achievement,7, 151–183.

    Google Scholar 

  • Newman, R. S. (2002). How self-regulated learners cope with academic difficulty: The role of adaptive help seeking. Theory Into Practice,41(2), 132–138.

    Article  Google Scholar 

  • Nikoi, S., & Armellini, A. (2012). The OER mix in higher education: Purpose, process, product, and policy. Distance Education,33(2), 165–184.

    Article  Google Scholar 

  • O’Donnell, E., Lawless, S., Sharp, M., & Wade, V. P. (2015). A review of personalised e-learning: Towards supporting learner diversity. International Journal of Distance Education Technologies,13(1), 22–47.

    Article  Google Scholar 

  • Pintrich, P. R. (2004). A conceptual framework for assessing motivation and self-regulated learning in college students. Educational Psychology Review,16(4), 385–407.

    Article  Google Scholar 

  • Pintrich, P. R., & De Groot, E. V. (1990). Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology,82(1), 33.

    Article  Google Scholar 

  • Purdy, E., Thoma, B., Bednarczyk, J., Migneault, D., & Sherbino, J. (2015). The use of free online educational resources by Canadian emergency medicine residents and program directors. Canadian Journal of Emergency Medicine,17(2), 101–106.

    Google Scholar 

  • Qin, Z., Johnson, D. W., & Johnson, R. T. (1995). Cooperative versus competitive efforts and problem solving. Review of Educational Research,65(2), 129–143.

    Article  Google Scholar 

  • Salili, F., & Lai, M. K. (2003). Learning and motivation of Chinese students in Hong Kong: A longitudinal study of contextual influences on students’ achievement orientation and performance. Psychology in the Schools,40(1), 51–70.

    Article  Google Scholar 

  • Sharma, S., Dick, G., Chin, W. & Land, L. P. W. (2007). Self-regulated learning and e-learning. Proceedings of the Fifteenth European Conference onInformation Systems, pp. 383–394.

  • Shee, D. Y., & Wang, Y. S. (2008). Multi-criteria evaluation of the web-based e-learning system: A methodology based on learner satisfaction and its applications. Computers & Education,50(3), 894–905.

    Article  Google Scholar 

  • Siemens, G. (2005). Connectivism: A learning theory for the digital age. International Journal of Instructional Technology and Distance Learning,2(1), 3–10.

    Google Scholar 

  • Truong, H. M. (2016). Integrating learning styles and adaptive e-learning system: Current developments, problems and opportunities. Computers in Human Behavior,55, 1185–1193.

    Article  Google Scholar 

  • Vovides, Y., Sanchez-Alonso, S., Mitropoulou, V., & Nickmans, G. (2007). The use of e-learning course management systems to support learning strategies and to improve self-regulated learning. Educational Research Review,2(1), 64–74.

    Article  Google Scholar 

  • Wang, A. Y., & Newlin, M. H. (2002). Predictors of web-student performance: The role of self-efficacy and reasons for taking an on-line class. Computers in Human Behavior,18(2), 151–163.

    Article  Google Scholar 

  • Wang, Q., Woo, H. L., Quek, C. L., Yang, Y., & Liu, M. (2012). Using the Facebook group as a learning management system: An exploratory study. British Journal of Educational Technology,43(3), 428–438.

    Article  Google Scholar 

  • Weaver, D., Spratt, C., & Nair, C. S. (2008). Academic and student use of a learning management system: Implications for quality. Australasian Journal of Educational Technology,24(1), 30–41.

    Article  Google Scholar 

  • Whipp, J. L., & Chiarelli, S. (2004). Self-regulation in a web-based course: A case study. Educational Technology Research and Development,52(4), 5.

    Article  Google Scholar 

  • Wolters, C. A., & Hussain, M. (2015). Investigating grit and its relations with college students’ self-regulated learning and academic achievement. Metacognition and Learning,10(3), 293–311.

    Article  Google Scholar 

  • Wong, J., Baars, M., Davis, D., Van Der Zee, T., Houben, G. J., & Paas, F. (2018a). Supporting self-regulated learning in online learning environments and MOOCs: A systematic review. International Journal of Human-Computer Interaction,35, 356–373.

    Article  Google Scholar 

  • Wong, T. L., Xie, H., Wang, F. L., Tang, K. T., Kong, A., & Kwan, R. (2018b). Promoting self-regulated learning by online educational resources. In 2018 International Symposium on Educational Technology (ISET) (pp. 204–208). IEEE.

  • Yerdelen, S., McCaffrey, A., & Klassen, R. M. (2016). Longitudinal examination of procrastination and anxiety, and their relation to self-efficacy for self-regulated learning: latent growth curve modeling. Educational Sciences: Theory and Practice,16(1), 5–22.

    Google Scholar 

  • Zhang, D., Zhao, J. L., Zhou, L., & Nunamaker, J. F., Jr. (2004). Can e-learning replace classroom learning? Communications of the ACM,47(5), 75–79.

    Article  Google Scholar 

  • Zimmerman, B. J. (1990). Self-regulated learning and academic achievement: An overview. Educational Psychologist,25(1), 3–17.

    Article  Google Scholar 

  • Zimmerman, B. J., & Martinez-Pons, M. (1990). Student differences in self-regulated learning: Relating grade, sex, and giftedness to self-efficacy and strategy use. Journal of Educational Psychology,82(1), 51.

    Article  Google Scholar 

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Acknowledgements

The work described in this paper was partially supported by a grant from the RGC of the HKSAR, China (UGC/IDS16/15). Haoran Xie’s work in this paper has been supported by the Individual Research Scheme of the Dean’s Research Fund 2017–2018 (FLASS/DRF/IRS-8), Seed Fund (SFG-6), and Top-up Fund (TFG-3) for General Research Fund/Early Career Scheme of the 2018 Dean’s Research Fund to MIT Department of The Education University of Hong Kong. Di Zou’s work has been supported by the Standing Committee on Language Education and Research, Education Bureau (EDB(LE)/P&R/EL/175/2) and the Funding Support to ECS Proposal Rated 3.5 (RG16/2018-2019R), The Education University of Hong Kong. A preliminary version of this article has been published in the 2018 International Symposium on Educational Technology (Wong et al. 2018b). This article has been extensively rewritten and extended by adding sufficient new contents and findings according to regulations of the Journal of Computers in Education. The authors would also like to thank Miss Shirley Chan of S.T.W Dr. Catherine F. Woo Memorial School, Hong Kong, for her coordination and contribution.

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Appendix A: Questionnaire

Appendix A: Questionnaire

figure a

Choose the best option in the following statement:

  

Strongly agree

Agree

Neutral

Disagree

Strongly disagree

1.

I know what I need to learn

     

2.

Regardless of the results or effectiveness of my learning, I still like learning

     

3.

I strongly hope to constantly improve and excel in my learning

     

4.

My successes and failures inspire me to continue learning

     

5.

I enjoy finding answers to questions

     

6.

I will not give up learning because I face some difficulties

     

7.

I can proactively establish my learning goals

     

8.

I know what learning strategies are appropriate for me in reaching my learning goals

     

9.

I set the priorities of my learning

     

10.

I am able to follow my own plan of learning

     

11.

I am good at arranging and controlling my learning time

     

12.

I know how to find resources for my learning

     

13.

I can connect new knowledge with my own personal experiences

     

14.

I understand the strengths and weakness of my learning

     

15.

I can monitor my learning progress

     

16.

I can evaluate on my own my learning outcomes

     

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Wong, TL., Xie, H., Zou, D. et al. How to facilitate self-regulated learning? A case study on open educational resources. J. Comput. Educ. 7, 51–77 (2020). https://doi.org/10.1007/s40692-019-00138-4

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