Self-regulated in a Blended Learning: Case Study On Educational Doctoral candidates

Authors

  • Fitri April Yanti Science Education Department, Faculty of Teacher Training and Education, Universitas Bengkulu http://orcid.org/0000-0003-1169-8806
  • Ahmad Walid Science Education Department, Faculty of Teacher Training and Education, Universitas Bengkulu
  • Habibi Habibi Physics Education Department, Universitas Pendidikan Mandalika
  • M. Anas Thohir Primary Teacher Education, Faculty of Science Education, Universitas Negeri Malang

DOI:

https://doi.org/10.33394/j-ps.v9i2.4410

Keywords:

self-regulated learning, blended learning, case study

Abstract

This study investigates the use of self-regulated in blended learning by students in doctoral education courses to complete advanced statistics lectures. Self-regulated in blended learning is described in four phases according to Zimmerman, namely planning, monitoring, evaluation, and reinforcing. The participants consisted of five students from 5 different disciplines, and were willing to share their learning experiences. Research data obtained by interview method and analyzed qualitatively. Validation uses two strategies, namely member checking and peer debriefing. Member checking is done after the data is formulated into themes, then the researcher will bring it back to the participants to find out their accuracy. Peer debriefing was conducted by colleagues to review and ask critical questions about this research. Colleagues have at least a doctoral degree. The results show that planning for the completion of student assignments begins with (1) setting goals and planning strategies with (a) planning time for completing assignments; (b) Cooperation with peers online and off-line; and (c) planning for technical issues; (2) Regularly calculate their scores every week after being given feedback on the results of the lecturer's assessment, and save the feedback results from completed assignments; (3) using assignment assessment rubrics, using lecturer feedback, and grades, to measure progress in lectures; (4) the strategies they have designed and implemented have succeeded in making success in doing the task.

References

Carter Jr, R. A., Rice, M., Yang, S., & Jackson, H. A. (2020). Self-regulated learning in online learning environments: strategies for remote learning. Information and Learning Sciences.

Du, X., Yang, J., Hung, J. L., & Shelton, B. (2020). Educational data mining: a systematic review of research and emerging trends. Information Discovery and Delivery.

Jansen, R. S., van Leeuwen, A., Janssen, J., Conijn, R., & Kester, L. (2020). Supporting learners' self-regulated learning in Massive Open Online Courses. Computers & Education, 146, 103771.

Jansen, R. S., Van Leeuwen, A., Janssen, J., Jak, S., & Kester, L. (2019). Self-regulated learning partially mediates the effect of self-regulated learning interventions on achievement in higher education: A meta-analysis. Educational Research Review, 28, 100292.

Han, F., & Ellis, R. A. (2019). Identifying consistent patterns of quality learning discussions in blended learning. The Internet and Higher Education, 40, 12-19.

Halverson, L. R., & Graham, C. R. (2019). Learner engagement in blended learning environments: A conceptual framework. Online Learning, 23(2), 145-178.

Hayashi Jr, P., Abib, G., & Hoppen, N. (2019). Validity in qualitative research: A processual approach. The Qualitative Report, 24(1), 98-112.

Hrastinski, S. (2019). What do we mean by blended learning?. TechTrends, 63(5), 564-569.

Law, K. M., Geng, S., & Li, T. (2019). Student enrollment, motivation and learning performance in a blended learning environment: The mediating effects of social, teaching, and cognitive presence. Computers & Education, 136, 1-12.

Ririen, D. (2019). Pengaruh Pengetahuan Awal Dan Persepsi Mahasiswa Terhadap Prestasi Belajar Statistika Ii Di Stie Indragiri Rengat. Jurnal Manajemen Dan Bisnis, 8(1), 49–60. https://doi.org/10.34006/jmbi.v8i1.67

Romero, C., & Ventura, S. (2020). Educational data mining and learning analytics: An updated survey. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 10(3), e1355.

Schunk, D. H., & Zimmerman, B. (Eds.). (2011). Handbook of self-regulation of learning and performance. Taylor & Francis.

Seal, D. W., Bogart, L. M., & Ehrhardt, A. A. (1998). Small group dynamics: The utility of focus group discussions as a research method. Group Dynamics: Theory, Research, and Practice, 2(4), 253.

Serrano, D. R., Deaâ€Ayuela, M. A., Gonzalezâ€Burgos, E., Serranoâ€Gil, A., & Lalatsa, A. (2019). Technologyâ€enhanced learning in higher education: How to enhance student engagement through blended learning. European Journal of Education, 54(2), 273-286.

Shehla, M. (2015). Blended Learning vs Traditional Classroom Settings. International Journal of Nursing, 2(1), 158–161. https://doi.org/10.15640/ijn.v2n1a17

Suartama, I. K., Setyosari, P., & Ulfa, S. (2019). Development of an instructional design model for mobile blended learning in higher education. International Journal of Emerging Technologies in Learning, 14(16).

Suhandoko, A. D. J., & Hsu, C. S. (2020). Applying self-regulated learning intervention to enhance students’ learning: A quasi-experimental approach. International Journal of Instruction, 13(3), 649–664. https://doi.org/10.29333/iji.2020.13344a

Tracy, S. J. (2019). Qualitative research methods: Collecting evidence, crafting analysis, communicating impact. John Wiley & Sons.

Watt, H. M., & Parker, P. D. (2020). Person-and variable-centred quantitative analyses in educational research: insights concerning Australian students’ and teachers’ engagement and wellbeing. The Australian Educational Researcher, 47(3), 501-515.

Wijaya, T. T., Ying, Z., & Suan, L. (2020). Gender and self regulated learning during COVID-19 Pandemic in Indonesia. Jurnal Basicedu, 4(3), 725-732.

Winne, P. H., & Marzouk, Z. (2019). Learning strategies and self-regulated learning.

Zimmerman, B. J., & Schunk, D. H. (Eds.). (2001). Self-regulated learning and academic achievement: Theoretical perspectives. Routledge.

Zimmerman, B. (2011). Handbook of self-regulation of learning and performance. Routledge.

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Published

2021-12-30

How to Cite

Yanti, F. A., Walid, A., Habibi, H., & Thohir, M. A. (2021). Self-regulated in a Blended Learning: Case Study On Educational Doctoral candidates. Prisma Sains : Jurnal Pengkajian Ilmu Dan Pembelajaran Matematika Dan IPA IKIP Mataram, 9(2), 413–419. https://doi.org/10.33394/j-ps.v9i2.4410

Issue

Vol. 9 No. 2: December 2021

Section

Research Articles

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