Vol. 12 No. 4 (2026): In Progress
Open Access
Peer Reviewed

Enhancing Self-Regulated Learning in Distance Education through SQ3R and Concept Mapping: Supporting SDG 4 on Quality Education

Authors

Eko Kuswanti , Pesi Suryani , Melisa Arisanty , Sri Sukatmi

DOI:

10.29303/jppipa.v12i4.14686

Published:

2026-04-25

Downloads

Abstract

This study examines the effectiveness of a dual-strategy intervention—SQ3R and concept mapping—in enhancing students’ comprehension and self-regulated learning (SRL) in an online distance learning context at Universitas Terbuka, Indonesia, contributing to SDG 4 (Quality Education). Using an explanatory sequential mixed-methods design, quantitative data were collected from 1.652 students through pretest–posttest measures in a one-semester course in the social sciences, followed by interviews with selected students and two instructors. Results indicate a statistically significant improvement in posttest scores (p < 0.001), although the effect size is small (d = 0.24). The strongest gains occurred in reading comprehension (SQ3R), with moderate improvements in concept mapping, while SRL gains remained limited. Qualitative findings suggest that students developed better reading structure, organization, and confidence; however, these did not fully translate into sustained metacognitive behaviors such as time management and reflective learning. This indicates that the intervention effectively improved cognitive and organizational skills but had limited short-term impact on deeper SRL habits. The study highlights the need for sustained scaffolding to develop SRL in distance education and supports the integration of structured learning strategies to improve learner autonomy.

Keywords:

Adult learners Concept mapping Distance education Reading comprehension SDG 4 Self-regulated learning SQ3R

References

Black, P., McCormick, R., James, M., & Pedder, D. (2006). Learning how to learn and assessment for learning: A theoretical inquiry. Research Papers in Education, 21(2). https://doi.org/10.1080/02671520600615612

Broadbent, J. (2017). Comparing online and blended learner’s self-regulated learning strategies and academic performance. Internet and Higher Education, 33. https://doi.org/10.1016/j.iheduc.2017.01.004

Broadbent, J., & Fuller-Tyszkiewicz, M. (2018). Profiles in self-regulated learning and their correlates for online and blended learning students. Educational Technology Research and Development, 66(6). https://doi.org/10.1007/s11423-018-9595-9

Broadbent, J., & Poon, W. L. (2015). Self-regulated learning strategies & academic achievement in online higher education learning environments: A systematic review. In Internet and Higher Education (Vol. 27). https://doi.org/10.1016/j.iheduc.2015.04.007

Cataraja, G. D. (2025). Explanatory Sequential Mixed Methods Study of SQ3R: A Theory. Journal of Educational Analytics, 4(3). https://doi.org/10.55927/jeda.v4i3.237

Cho, M. H., & Heron, M. L. (2015). Self-regulated learning: the role of motivation, emotion, and use of learning strategies in students’ learning experiences in a self-paced online mathematics course. Distance Education, 36(1). https://doi.org/10.1080/01587919.2015.1019963

Cicognani, A. (2000). Concept mapping as a collaborative tool for enhanced online learning. Journal of Educational Technology & Society, 3(3), 150-158. Retrieved from https://www.jstor.org/stable/jeductechsoci.3.3.150

Creswell, J. W., & Clark, V. L. P. (2017). Designing and conducting mixed methods research. Sage publications.

Dimitropoulou, P., Filippatou, D., Gkoutzourela, S., Griva, A., Pachiti, I., & Michaelides, M. (2025). The Synergy of School Climate, Motivation, and Academic Emotions: A Predictive Model for Learning Strategies and Reading Comprehension. Behavioral Sciences, 15(4). https://doi.org/10.3390/bs15040503

Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., & Willingham, D. T. (2013). Improving students’ learning with effective learning techniques: Promising directions from cognitive and educational psychology. Psychological Science in the Public interest, 14(1), 4-58. https://doi.org/10.1177/1529100612453266

Gagné, R. M., Ausubel, D. P., & Gagne, R. M. (1969). Educational Psychology: A Cognitive View. American Educational Research Journal, 6(2). https://doi.org/10.2307/1161899

Hwang, G. J., Chen, M. R. A., Sung, H. Y., & Lin, M. H. (2019). Effects of integrating a concept mapping-based summarization strategy into flipped learning on students’ reading performances and perceptions in Chinese courses. British Journal of Educational Technology, 50(5). https://doi.org/10.1111/bjet.12708

Kasmawati, K., & Sakkir, G. (2020). Improving Students Reading Comprehension Through “Survey, Question, Reading, Recite, Review (SQ3R)” Strategy. Interference: Journal of Language, Literature, and Linguistics, 1(2). https://doi.org/10.26858/interference.v1i2.14695

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 and Education, 104. https://doi.org/10.1016/j.compedu.2016.10.001

Knowles, M. S. (1978). Learning Theory in Perspective. Community College Review, 5(3). Retrieved from https://journals.sagepub.com/doi/abs/10.1177/009155217800500302

Kocdar, S., Karadeniz, A., Bozkurt, A., & Buyuk, K. (2018). Measuring self-regulation in self-paced open and distance learning environments. International Review of Research in Open and Distributed Learning, 19(1). https://doi.org/10.19173/irrodl.v19i1.3255

McNamara, D. S. (Ed.). (2007). Reading comprehension strategies: Theories, interventions, and technologies. Psychology Press. https://doi.org/10.4324/9780203810033

Molin, F., Haelermans, C., Cabus, S., & Groot, W. (2020). The effect of feedback on metacognition - A randomized experiment using polling technology. Computers and Education, 152. https://doi.org/10.1016/j.compedu.2020.103885

Nesbit, J. C., & Adesope, O. O. (2006). Learning with concept and knowledge maps: A meta-analysis. Review of educational research, 76(3), 413-448. https://doi.org/10.3102/00346543076003413

Novak, J. D., & Cañas, J. (2008). The Theory Underlying Concept Maps and How to Construct and Use Them. IHMC CmapTools. https://doi.org/Technical Report IHMC CmapTools 2006-01 Rev 2008-01

Nurhayati, A., Rahmi, U., Hidayati, A., Anugrah, S., & Saputra, I. (2026). AI-Driven Learning Environments and Learning Flow Experience: The Role of Technological Readiness in Supporting Sustainable Quality Education. Jurnal Penelitian Pendidikan IPA, 12(2), 802–814. https://doi.org/10.29303/jppipa.v12i2.14385

O'donnell, A. M., Dansereau, D. F., & Hall, R. H. (2002). Knowledge maps as scaffolds for cognitive processing. Educational psychology review, 14(1), 71-86. https://doi.org/10.1023/A:1013132527007

Panadero, E. (2017). A review of self-regulated learning: Six models and four directions for research. Frontiers in psychology, 8, 422. https://doi.org/10.3389/fpsyg.2017.00422

Park, S., & Yun, H. (2018). The Influence of Motivational Regulation Strategies on Online Students’ Behavioral, Emotional, and Cognitive Engagement. American Journal of Distance Education, 32(1). https://doi.org/10.1080/08923647.2018.1412738

Parwati, E. R., & Nurizka, R. (2026). Improving Students’ Reading Skills through Speed Reading Assisted by Audio-Visual Media. Jurnal Penelitian Pendidikan IPA, 12(2), 420–426. https://doi.org/10.29303/jppipa.v12i2.14476

Patton, M. Q. (2015). Qualitative Research & Evaluation Methods. SAGE Publications.

Pintrich, P. R. (2004). A conceptual framework for assessing motivation and self-regulated learning in college students. Educational Psychology Review, 16(4). https://doi.org/10.1007/s10648-004-0006-x

Pratama, L., Taiyeb, A. M., & Rachmawaty. (2026). The Influence of Synectics, Mind Mapping, Cooperative Learning (SM2CL) Models on Creative Thinking Skills and Understanding of Nutritional Concepts in Digestive System Material in Students. Jurnal Penelitian Pendidikan IPA, 12(2), 462–475. https://doi.org/10.29303/jppipa.v12i2.14205

You, J. W., & Kang, M. (2014). The role of academic emotions in the relationship between perceived academic control and self-regulated learning in online learning. Computers and Education, 77. https://doi.org/10.1016/j.compedu.2014.04.018

Zimmerman, B. J. (2000). Attaining self-regulation: A social cognitive perspective. In Handbook of self-regulation (pp. 13-39). Academic press.

Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory into practice, 41(2), 64-70. https://doi.org/10.1207/s15430421tip4102_2

Author Biographies

Eko Kuswanti, Universitas Terbuka

Author Origin : Indonesia

Pesi Suryani, Universitas Terbuka

Author Origin : Indonesia

Melisa Arisanty, Universitas Terbuka

Author Origin : Indonesia

Sri Sukatmi, Universitas Terbuka

Author Origin : Indonesia

Downloads

Download data is not yet available.

How to Cite

Kuswanti, E., Suryani, P., Arisanty, M., & Sukatmi, S. (2026). Enhancing Self-Regulated Learning in Distance Education through SQ3R and Concept Mapping: Supporting SDG 4 on Quality Education. Jurnal Penelitian Pendidikan IPA, 12(4), 90–104. https://doi.org/10.29303/jppipa.v12i4.14686