Faktor Psikologi dalam Self-Regulated Learning dan Pengaruhnya terhadap Kemampuan Akademik Mahasiswa dalam Mata Kuliah Statistik Pendidikan

Authors

  • Elviana Elviana UIN Ar- Raniry Banda Aceh
  • Susanti Susanti UIN Ar- Raniry Banda Aceh
  • Raudhatul Munawwarah UIN Ar- Raniry Banda Aceh

DOI:

https://doi.org/10.24127/gdn.v15i4.14846

Keywords:

self-regulated learning, academic performance, educational statistics, university students

Abstract

Educational Statistics plays a central role in equipping university students with analytical skills and data-based decision-making, yet many students still struggle to learn this course effectively. This study aims to analyze psychological factors within self-regulated learning (SRL) and their influence on students’ academic performance in an Educational Statistics course. A quantitative approach with an ex post facto design was employed. Participants were 66 fourth-semester students from three Islamic State Higher Education Institutions (PTKIN) in Aceh, selected using purposive sampling. SRL was measured using a Likert-scale questionnaire assessing motivation, self-efficacy, metacognition, self-control, emotions, learning goals, and environmental structuring, while academic performance in Educational Statistics was measured using an essay test on basic statistical concepts. Data were analyzed using descriptive statistics, normality and linearity tests, and Spearman correlation. The results indicated that students’ SRL was at a moderate level, with self-efficacy and self-control emerging as the strongest components, whereas environmental structuring was the weakest. The correlation between SRL and Statistics achievement was positive but weak and non-significant (râ‚› = 0.213; p = 0.087), accounting for approximately five percent of the variance in scores. These findings suggest that SRL functions more as a supporting factor alongside other determinants such as prior mathematical ability, teaching quality, and statistics anxiety. Practically, SRL development in Educational Statistics courses should emphasize explicit training in concrete strategies (study planning, time management, environmental regulation, and help-seeking) integrated with emotional regulation to enhance students’ academic performance and learning readiness.

Author Biography

Elviana Elviana, UIN Ar- Raniry Banda Aceh

Dosen Bimbingan Konseling FTK UIN Ar-Raniry Banda Aceh

References

Andrianingsih, V., & Asmoro, E. I. (2024). Analisis Kesulitan Mahasiswa dalam Menyelesaikan Soal Statistik pada Prodi Teknik Informasi di Universitas X Nusa Tenggara Barat. 4, 1–6.

Ary, D., Jacobs, L. C., Sorensen, C., & Walker, D. (2019). Introduction to Research in Education (10th ed.). Cengage Learning.

At.al, H. p. (2024). Kecemasan matematika dan pencapaian akademik siswa: tinjauan literatur sistematis. 12(4).

Bandura, A. (1997). Self-Efficacy: The Exercise of Control. Worth Publishers. https://books.google.co.id/books?id=eJ-PN9g_o-EC

Barida, M. (2017). Keterampilan metakognisi mahasiswa Program Studi Bimbingan dan Konseling terhadap mata kuliah statistik. Jurnal Psikologi Pendidikan Dan Konseling: Jurnal Kajian Psikologi Pendidikan Dan Bimbingan Konseling, 3(2), 46–54.

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/https://doi.org/10.1016/j.iheduc.2015.04.007

Brookhart, S. M., & Nitko, A. J. (2018). Educational Assessment of Students (8th ed.). Pearson.

Çetin, B. (2022). The Relationship between Intrinsic Motivation towards University and Intrinsic Motivation towards Self-Regulated Learning and Academic Success. International Online Journal of Education and Teaching, 9(4), 1939–1949.

Chen, Z., & Sukying, A. (2024). The Relationship between Intrinsic Motivation, Self-Efficacy, Self-Regulated Learning, and English Learning Achievement in Chinese High School Students. Journal of English Language and Linguistics, 5(3), 261–276. https://doi.org/10.62819/jel.2024.578

Dent, A., & Koenka, A. (2015). The Relation Between Self-Regulated Learning and Academic Achievement Across Childhood and Adolescence: A Meta-Analysis. Educational Psychology Review, 28. https://doi.org/10.1007/s10648-015-9320-8

Duru, D. C., & Okeke, S. O. C. (2021). Self-regulated learning skill as a predictor of mathematics achievement : a focus on ability levels. 4(2), 86–89.

Eggers, J. H., & Oostdam, R. (2021). Self-regulation strategies in blended learning environments in higher education : A systematic review. 37(6), 175–192.

Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of Convenience Sampling and Purposive Sampling. 5(1), 1–4. https://doi.org/10.11648/j.ajtas.20160501.11

Ety, L., & Harahap, S. (2025). How does self-regulated learning affect students ’ mathematics anxiety ? 10(1), 1–15.

Faza, A., & Lestari, I. A. (2025). Self-Regulated Learning in the Digital Age: A Systematic Review of Strategies, Technologies, Benefits, and Challenges. International Review of Research in Open and Distributed Learning, 26(2), 23–58. https://doi.org/10.19173/irrodl.v26i2.8119

Folgado-Alufre, M., Serrano-Mendizabal, M., Miragall, M., Desdentado, L., Garcia-Ubiedo, L., & Banos, R. M. (2023). The protective role of intrinsic motivation, self-efficacy, and self-regulation strategies against procrastination and statistics anxiety. Statistica Applicata -- Italian Journal of Applied Statistics, 34(2). https://doi.org/10.26398/IJAS.0034-009

Husna, L., & Uyun, M. (2025). Kontribusi motivasi intrinsik dan self-efficacy terhadap self-regulation. Jurnal RAP (Riset Aktual Psikologi Universitas Negeri Padang), 16(1), 141–156. https://doi.org/10.24036/rapun.v16i1.133353

Jebb, A. T., Ng, V., & Tay, L. (2021). A Review of Key Likert Scale Development Advances : 1995 – 2019 Two Views of Validity. 12(May), 1–14. https://doi.org/10.3389/fpsyg.2021.637547

Johnson, R. B., & Christensen, L. (2020). Educational Research: Quantitative, Qualitative, and Mixed Approaches (7th ed.). SAGE Publications.

Juhari, A., Patta, R., Habibah, S., & Asmayani, A. (2025). Analisis hambatan belajar mahasiswa calon guru sekolah dasar pada mata kuliah statistik. Pedagogy: Jurnal Pendidikan Matematika, 10(2), 526–541. https://doi.org/10.30605/pedagogy.v10i2.6146

Kerlinger, F. N., & Lee, H. B. (2000). Foundations of Behavioral Research (4th ed.). Harcourt College Publishers.

Kumar, M. K. (2024). Ed-Stats : Role of Statistics in Education. December.

Lethbridge, L. E., Marshall, A. D., & Jauch, M. (2024). Attitudes towards statistics and statistical performance: A mediation model of statistics anxiety and academic procrastination. British Journal of Educational Psychology, 94(4), 1208–1223. https://doi.org/10.1111/bjep.12714

Mahyudi, M., & Kurniawan, I. (2021). Analisis kemampuan literasi matematika mahasiswa ditinjau dari level berfikir metakognitif pada mata kuliah Statistika Lanjut. Math-Edu: Jurnal Ilmu Pendidikan Matematika, 6(3), 73–85. https://doi.org/10.32938/jipm.6.3.2021.73-88

Pallant, J. (2020). SPSS Survival Manual: A Step by Step Guide to Data Analysis Using IBM SPSS (7th ed.). McGraw-Hill Education.

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

Rahmi, A. A. (2019). Pengaruh Motivasi Belajar dan Efikasi Diri Terhadap Regulasi Belajar Santri. 7(1), 164–171.

Roslaeni. (2025). Hubungan penelitian pendidikan dan statistika. Jurnal Pendidikan Agama Islam, 2(1).

Song, S., Li, T., Quintero, M., & Wang, Z. (2023). The Link Between Mathematics Anxiety and Math Achievement. Journal of Numerical Cognition, 9(3), 418–432.

Wang, Y., & Sperling, R. A. (2020). Characteristics of Effective Self-Regulated Learning Interventions in Mathematics Classrooms : A Systematic Review. 5(May). https://doi.org/10.3389/feduc.2020.00058

Wangid, M. N. (2022). The Role of Self-Motivation in Self-Regulated Learning. 11(1). https://doi.org/10.12928/psikopedagogia.v11i1.14175

Wilcox, G., Conde, C. F., & Kowbel, A. (2021). education sciences Using Evidence-Based Practice and Data-Based Decision Making in Inclusive Education.

Williams, K. L. (2020). Contextualizing Math-Related Strengths and Math Achievement : Positive Math Orientations , Social Supports and the Moderating Effects of Prior Math Knowledge. 317–342.

Xu, Z., Zhao, Y., Liew, J., Zhou, X., & Kogut, A. (2023). Synthesizing research evidence on self-regulated learning and academic achievement in online and blended learning environments: A scoping review. Educational Research Review, 39, 100510. https://doi.org/https://doi.org/10.1016/j.edurev.2023.100510

Youssef, N. H., & Alibraheim, E. A. (2025). education sciences Self-Regulated Learning Strategies Among Graduate Students and Their Relationship with Statistics Anxiety. 1–15.

Youssef, N. H., & Essa, A. (2025). Self-Regulated Learning Strategies Among Graduate Students and Their Relationship with Statistics Anxiety. Education Sciences, 15(1), 17. https://doi.org/10.3390/educsci15010017

Zimmerman, B. J., & Schunk, D. H. (Eds.). (2011). Handbook of Self-Regulation of Learning and Performance. Routledge. https://doi.org/10.4324/9780203839010

Published

2025-12-30

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