The Impact of Self-Regulated Learning on the Effectiveness of Digital Learning: A Study on Madrasah Ibtidaiyah Students
(1) Universitas Islam Negeri Sunan Kalijaga Yogyakarta
(2) Universitas Islam Negeri Syarif Hidayatullah Jakarta
(3) Universitas Islam Negeri Sunan Kalijaga Yogyakarta
(*) Corresponding Author
Abstract
Abstract
This study aims to examine the effect of self-regulated learning on the effectiveness of digital learning in fifth-grade students of Madrasah Ibtidaiyah Pembangunan Jakarta, Indonesia. This study employs a quantitative approach using a survey design and a total sampling technique, which involves 67 fifth-grade students as respondents. Data were collected through a validated Likert scale questionnaire designed to measure self-learning variables and the use of digital learning. Simple linear regression testing was implemented to verify the research hypothesis and identify interconnections among variables. Study findings indicate the presence of a meaningful positive impact between self-directed learning and the effectiveness of digital learning, with a coefficient of determination (R²) of 0.366, indicating that 36.6% of the variance in the use of digital learning can be explained by self-regulated learning abilities, while the remaining 63.4% is influenced by other factors not examined in this study. This study concludes that self-regulated learning is an important factor in increasing the effectiveness of digital learning implementation in elementary madrasah students. These findings indicate the importance of developing pedagogical strategies that foster students' self-regulation skills to optimize the integration of digital technology in education environments, especially in madrasah ibtidaiyah.
Keywords: digital learning, effectiveness, self regulated learning.
Abstrak
Penelitian ini bertujuan untuk menguji pengaruh pembelajaran mandiri terhadap efektivitas pembelajaran digital pada siswa kelas V Madrasah Ibtidaiyah Pembangunan Jakarta, Indonesia. Penelitian ini menggunakan pendekatan kuantitatif dengan desain survei dan teknik total sampling yang melibatkan 67 siswa kelas V (lima) sebagai responden. Data dikumpulkan melalui kuesioner skala Likert yang telah divalidasi dan dirancang untuk mengukur pembelajaran mandiri dan penggunaan pembelajaran digital. Pengujian regresi linear sederhana diimplementasikan untuk memverifikasi hipotesis riset dan mengidentifikasi keterkaitan antar variabel. Temuan studi mengindikasikan terdapatnya dampak positif yang bermakna antara pembelajaran mandiri dengan efektivitas pembelajaran digital, dengan koefisien determinasi (R²) sebesar 0,366, yang menunjukkan bahwa 36,6% varians penggunaan pembelajaran digital dapat dijelaskan oleh kemampuan pembelajaran mandiri, sedangkan sisanya sebesar 63,4% dipengaruhi oleh faktor lain yang tidak diteliti dalam penelitian ini. Penelitian ini menyimpulkan bahwa pembelajaran mandiri merupakan faktor penting dalam meningkatkan efektivitas pembelajaran digital pada siswa madrasah ibtidaiyah. Temuan ini menunjukkan pentingnya mengembangkan strategi pedagogis yang menumbuhkan keterampilan pengaturan diri siswa untuk mengoptimalkan integrasi teknologi digital dalam lingkungan pendidikan, khsususnya di Madrasah Ibtidaiyah.
Kata kunci: pembelajaran digital, efektivitas, self regulated learning.Full Text:
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Anthonysamy, L., Koo, A. C., & Hew, S. H. (2020). Self-regulated learning strategies and non-academic outcomes in higher education blended learning environments: A one decade review. Education and information technologies, 25(5), 3677-3704. https://link.springer.com/article/10.1007/s10639-020-10134-2
Azevedo, R., & Gašević, D. (2019). Analyzing multimodal multichannel data about self-regulated learning with advanced learning technologies: Issues and challenges. Computers in Human Behavior, 96, 207–210. https://doi.org/10.1016/j.chb.2019.03.025
Bai, C., Dallasega, P., Orzes, G., & Sarkis, J. (2020). Industry 4.0 technologies assessment: A sustainability perspective. International journal of production economics, 229, 107776.
Bannert, M., & Reimann, P. (2012). Supporting self-regulated hypermedia learning through prompts. Instructional Science, 40(1), 193–211. https://doi.org/10.1007/s11251-011-9167-4
Bower, M., Dalgarno, B., Kennedy, G., Lee, M. J. W., & Kenney, J. (2020). Design and implementation factors in blended synchronous learning environments: Outcomes from a cross-case analysis. Computers & Education, 143, 103768. https://doi.org/10.1016/j.compedu.2019.103768
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. https://doi.org/10.1016/j.iheduc.2015.04.007
Chen, X., Zou, D., & Xie, H. (2020). Fifty years of British Journal of Educational Technology: A topic modeling based bibliometric perspective. British Journal of Educational Technology, 51(3), 692-708. https://doi.org/10.1111/bjet.12907
Chiu, T. K. F. (2021). Applying the self-determination theory (SDT) to explain student engagement in online learning during the COVID-19 pandemic. Journal of Research on Technology in Education, 54(1), 14–30. https://doi.org/10.1080/15391523.2021.1891998
Creswell, J. W., & Creswell, J. D. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (5th ed.). SAGE Publications.
Crompton, H., Burke, D., & Jordan, K. (2020). A systematic review of mobile learning in higher education: The roles of handheld technology and pedagogy. Computers & Education, 155, 103903. https://doi.org/10.1016/j.compedu.2020.103903
Dahri, N. A., Yahaya, N., Al-Rahmi, W. M., Aldraiweesh, A., Alturki, U., Almutairy, S., Shutaleva, A., & Soomro, R. B. (2024). Extended TAM based acceptance of AI-Powered ChatGPT for supporting metacognitive self-regulated learning in education: A mixed-methods study. Heliyon, 10(8), e29317. https://doi.org/https://doi.org/10.1016/j.heliyon.2024.e29317
Dani, A. T. R., Putra, F. B., Fauziyah, M., & Ratnasari, V. (2024). Buku Tentang Statistika (BTS): Teori dan Aplikasi untuk Jelajahi Data Kategorik. [Nama Penerbit].
Dent, A. L., & Koenka, A. C. (2016). The Relation Between Self-Regulated Learning and Academic Achievement Across Childhood and Adolescence: A Meta-Analysis. Educational Psychology Review, 28(3), 425.
Etikan, I., & Bala, K. (2017). Sampling and sampling methods. Biometrics & Biostatistics International Journal, 5(6), 00149.
Fauzan & Arifin, F. (2022). Desain Kurikulum dan Pembelajaran Abad 21. Jakarta: Kencana
Fatira, M. A., Ferawati, & Darmayani, S. (2020). Pembelajaran Digital. Jurnal Refleksi Kepemimpinan, 3(1).
Field, A. (2018). Discovering Statistics Using IBM SPSS Statistics (5th ed.). SAGE Publications.
Garzón, J., & Acevedo, J. (2019). Meta-analysis of the impact of Augmented Reality on students’ learning gains. Educational Research Review, 27, 244-260. https://doi.org/10.1016/j.edurev.2019.04.001
He, G. (2025). Predicting learner autonomy through AI-supported self-regulated learning: A social cognitive theory approach. Learning and Motivation, 92, 102195. https://doi.org/https://doi.org/10.1016/j.lmot.2025.102195
Huang, K., & Lee-Post, A. (2025). Enhancing online college students’ self-regulated learning and performance through self-assessments and commitment strategies. The Internet and Higher Education, 67, 101033. https://doi.org/https://doi.org/10.1016/j.iheduc.2025.101033
Hwang, G.-J., Chang, S.-C., Chen, P.-Y., & Chen, X.-Y. (2020). Effects of integrating an active learning-promoting mechanism into location-based real-world learning environments on students’ learning performances and behaviors. Educational Technology Research and Development, 68(3), 1121–1141. https://doi.org/10.1007/s11423-019-09707-8
Ifenthaler, D., Bellin-Mularski, N., & Mah, D. K. (2020). Digital learning environments and student engagement: Lessons from higher education. Interactive Technology and Smart Education, 17(4), 403–419. https://doi.org/10.1108/ITSE-05-2020-0075
Mansyur, F. A., Arsyad, & Manaf, A. (2025). Analysis of the Aiken Index to Measure the Content Validity of the Wolio Language and Culture Preservation Model Instrument. ELS Journal on Interdisciplinary Studies in Humanities, 6(3), 123–139.
Matcha, W., Gašević, D., Jovanović, J., Uzir, N. A. A., Oliver, C. W., Murray, A., & Gasevic, D. (2020, March). Analytics of learning strategies: The association with the personality traits. In Proceedings of the tenth international conference on learning analytics & knowledge (pp. 151-160). https://doi.org/10.1145/3375462.3375534
Moorhouse, B. L., & Wong, K. M. T. (2022). Blending asynchronous and synchronous digital technologies in online teaching: Affordances and challenges. Educational Technology Research and Development, 70, 405–422. https://doi.org/10.1007/s11423-021
Pallant, J. (2020). SPSS Survival Manual: A Step by Step Guide to Data Analysis Using IBM SPSS (7th ed.). Routledge.
Panadero, E., Jonsson, A., & Botella, J. (2017). Effects of self-assessment on self-regulated learning and self-efficacy: Four meta-analyses. Educational Research Review, 22, 74–98. https://doi.org/10.1016/j.edurev.2017.08.004
Pelletier, K., Brown, M., & Brooks, D. C. (2021). 2021 EDUCAUSE Horizon Report: Teaching and Learning Edition. EDUCAUSE. https://library.educause.edu/resources/2021/4/2021-educause-horizon-report-teaching-and-learning-edition
Pérez-Álvarez, R., Maldonado-Mahauad, J., & Pérez-Sanagustín, M. (2021). Helping Students to Self-regulate Their Learning in MOOCs: A Systematic Review and Future Directions. Interactive Learning Environments, 29(3), 419–437. https://doi.org/10.1080/10494820.2019.1629600
Qomusuddin, I. F. (2019). Statistik Pendidikan (Lengkap Dengan Aplikasi IMB SPSS Statistic 20.0). Deepublish.
Rak, T., & Wrześniowski, S. (2023). “Cronbach’s Alpha – What Makes It Really Good? Some Advice for Planning and Criticizing Psychological Questionnaires.” Przegląd Psychologiczny – The Review of Psychology, 66(4), 151–167.
Rapanta, C., Botturi, L., Goodyear, P., Guàrdia, L., & Koole, M. (2021). Balancing technology, pedagogy and the new normal: Post-pandemic challenges for higher education. Postdigital Science and Education, 3(3 SP).
Riyanto, S., & Hatmawan, A. A. (2020). Metode Penelitian Kuantitatif: Aplikasi pada Penelitian Bidang Manajemen dan Ekonomi. Deepublish CY.
Roebianto, A., Savitri, S. I., Aulia, I., Suciyana, A., & Mubarokah, L. (2023). Content Validity: Definition and Procedure of Content Validation in Psychological Research. TPM – Testing, Psychometrics, Methodology in Applied Psychology, 30(1), 5–18.
Schunk, D. H., & Greene, J. A. (2018). Handbook of Self-Regulation of Learning and Performance. Routledge.
Streiner, D. L., Norman, G. R., & Cairney, J. (2024). Health Measurement Scales: A Practical Guide to Their Development and Use (7th ed.). Oxford University Press.
Sutarni, N., Ramdhany, M. A., Hufad, A., & Kurniawan, E. (2021). Self-Regulated Learning and Digital Learning Environment: Its’ Effect o.
Teresi, J. A. (2022). Guidelines for Designing and Evaluating Feasibility / Pilot Studies. Medical Care, 60(1), 95–103.
Tsai, C.-C., Chai, C. S., Wong, L.-H., Hong, H.-Y., & Tan, S. C. (2020). Positioning design for learning in the context of 21st century education. Educational Technology & Society, 23(4), 1–12. https://www.jstor.org/stable/26926371
Umairah, N., & Dabi, R. (2023). Exploring Autonomous Learning Regulation in Digital Learning Environments: A System.
Uzun, A. M., & Kilis, S. (2020). Investigating Antecedents of Plagiarism Using Extended Theory of Planned Behavior. Computers & Education, 144, 103700. https://doi.org/10.1016/j.compedu.2019.103700
van Laar, E., van Deursen, A. J. A. M., van Dijk, J. A. G. M., & de Haan, J. (2019). Determinants of 21st-century digital skills: A large-scale survey among working professionals. Computers in Human Behavior, 100, 93–104. https://doi.org/https://doi.org/10.1016/j.chb.2019.06.017
van Laar, E., van Deursen, A. J. A. M., van Dijk, J. A. G. M., & de Haan, J. (2020). Determinants of 21st-century digital skills: A large-scale survey among working professionals. Computers in Human Behavior, 112, 106467. https://doi.org/10.1016/j.chb.2020.106467
Vergara-Villalobos, N., Pallavicini, F., & Ramos-Vera, C. (2025). Development, Validity, and Reliability of Three Instruments to Assess Holistic Care: HCQAS-P, HCQAS-F & HCKAS. Journal of Multidisciplinary Healthcare, 18(1), 103–118.
Wang, Y.-L., Liu, C.-C., Kuo, C.-C., & Hou, H.-T. (2025). Intergenerational collaborative dynamics in digital game design learning: A sequential analysis of communication patterns. Acta Psychologica, 261, 105763. https://doi.org/https://doi.org/10.1016/j.actpsy.2025.105763
Wong, J. K. Y., Baars, M., Davis, D., Van Der Zee, T., Houben, G. J., & Paas, F. (2019). Supporting Self-regulated Learning in Online Learning Environments and MOOCs: A Systematic Review. International Journal of Human–Computer Interaction, 35(4–5), 356–373. https://doi.org/10.1080/10447318.2018.1543084
Yeni, I. (2017, December). Development of moral and religious values for children through singing themed Islamic songs. In International Conference of Early Childhood Education (ICECE 2017) (pp. 25-28). Atlantis Press. https://doi.org/10.2991/icece-17.2018.7
Zhu, C., & Liu, H. (2020). Improving students’ 21st-century skills through collaborative learning in a digital classroom: A case study. Educational Technology Research and Development, 68(6), 3549–3569. https://doi.org/10.1007/s11423-020-09752-8
DOI: 10.24235/al.ibtida.snj.v12i2.19880
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