Pengaruh Kecemasan dan Self-Regulated Learning terhadap Prestasi Belajar Matematika Menggunakan Sem-Amos

Authors

  • Intan Pramida Universitas Muhamadiyah Purwokerto Author
  • Wiwit Wahyu Rosmawati Universitas Muhamadiyah Purwokerto Author
  • Wanda Nugroho Yanuarto Universitas Muhamadiyah Purwokerto Author

Keywords:

mathematics anxiety, SEM-AMOS self-regulated learning, mathematics achievement; SEM-AMOS; self-regulated learning

Abstract

This study uses the Structural Equation Modeling (SEM) method with the assistance of IBM SPSS AMOS to identify and analyze the influence of anxiety and independent learning on students' mathematics learning achievement. The quantitative approach is used because the data collected is in the form of numbers and is statistically analyzed to evaluate the relationships between variables. The background of this research lies in the fact that students still often experience poor math learning achievement. Mathematics is considered a difficult subject by many students, which makes them anxious and scared when studying and working on problems. This condition is called math anxiety. Students who experience high levels of anxiety can have difficulty concentrating, lose confidence, and give up when solving math problems. As a result, students' math skills decline.

In addition to the anxiety factor, the ability to self-regulate learning is also one of the important factors that affect mathematics learning achievement. Self-regulated learning is the ability of students to manage and control their learning process independently, such as managing learning time, determining learning goals, choosing the right learning strategy, and evaluating the learning outcomes that have been achieved. Students who have good self-regulation skills tend to be more disciplined, active, and responsible in the learning process so that they are able to obtain better learning outcomes.  The research data was obtained through the distribution of questionnaires to students to measure the level of anxiety and self-regulated learning, as well as documentation of students' mathematical scores as data on learning achievement. The data analysis technique was carried out using SEM-AMOS through several stages, namely validity test, reliability test, Confirmatory Factor Analysis (CFA), structural model testing, and goodness of fit test  to determine the feasibility of the research model.

The results of the study showed that anxiety had a negative and significant effect on mathematics learning achievement. This means that the higher the level of anxiety of students, the higher the achievement of learning mathematics tends to decrease. On the other hand, self-regulated learning has a positive and significant effect on mathematics learning achievement, which means that the better the student's ability to manage the learning process, the higher the mathematics learning achievement obtained. In addition, the results of the goodness of fit test  show that the research model has met the model feasibility criteria so that the SEM model used is declared feasible and can be used to explain the relationship between variables in the study. Based on the results of the study, it can be concluded that anxiety and self-regulated learning are important factors that affect students' mathematics learning achievement. Therefore, efforts are needed from teachers and schools to create a comfortable learning atmosphere, reduce student anxiety, and improve students' self-regulation skills so that mathematics learning achievement can increase.

 

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References

Ashcraft, M. H. (2002). Math anxiety: Personal, educational, and cognitive consequences. Current Directions in Psychological Science, 11(5), 181–185. https://doi.org/10.1111/1467-8721.00196

Beilock, S. L., & Carr, T. H. (2005). When high-powered people fai Beilock, S. L., & Carr, T. H. (2005). When High-Powered People Fail: Working Memory and “Choking under Pressure” in Math. Psychological Science, 16(2), 101–105. http://www.jstor.org/stable/40064185

Bloom, B. S. (1976). Human characteristics and school learning. McGraw-Hill.

Harvey, K., & Horton, L. (1977). Bloom’s Human Characteristics and School Learning. The Phi Delta Kappan, 59(3), 189–193. http://www.jstor.org/stable/20298895

Efklides, A. (2011). Interactions of metacognition with motivation and affect in self-regulated learning: The MASRL model. Educational Psychologist, 46(1), 6–25. https://doi.org/10.1080/00461520.2011.538645

Hembree, R. (1990). The nature, effects, and relief of mathematics anxiety. Journal for Research in Mathematics Education, 21(1), 33–46. https://doi.org/10.2307/749455

Herlina, Sari & Juandi, Dadang & Saputri, Veni & Anwar, Vita. (2022). Self-Regulated Learning berdasarkan Kemampuan Akademik Matematika: Literatur Review. PRISMA. 11. 113. 10.35194/jp.v11i1.1955

Naili, N., Wahyuni, S., & Prasetyo, A. (2025). The contribution of self-regulated learning to mathematical problem-solving ability and academic achievement. International Journal of Educational Studies, 8(1), 45–58.

Solikah, Nur & Astuti, Wiwin. (2025). Correlation of Self-Regulated Learning and Students' Ability to Solve Mathematical Problems in Algebraic Topics. Kognitif: Jurnal Riset HOTS Pendidikan Matematika. 5. 10.51574/kognitif.v5i4.4475

Noor, M., Hidayat, T., & Rahmawati, D. (2025). Self-regulated learning and mathematics achievement: A systematic literature review. Journal of Mathematics Education Research, 10(1), 1–15.

OECD. (2023). PISA 2022 results (Volume I): The state of learning and equity in education. OECD Publishing. https://doi.org/10.1787/53f23881-en

Pekrun, R. (2006). The control-value theory of achievement emotions: Assumptions, corollaries, and implications for educational research and practice. Educational Psychology Review, 18(4), 315–341. https://doi.org/10.1007/s10648-006-9029-9

Pintrich, P. R. (2004). A conceptual framework for assessing motivation and self-regulated learning in college students. Educational Psychology Review, 16(4), 385–407. http://www.jstor.org/stable/23363878

Priharvian, Y., Sari, D., & Nugroho, A. (2024). The simultaneous effect of mathematics anxiety and self-regulated learning on students’ mathematics achievement. Journal of Mathematics Learning, 7(2), 112–124.

Putwain, D. W., & Daly, A. L. (2014). Mathematics anxiety and self-regulated learning in secondary school students. Educational Studies in Mathematics, 87(2), 165–182. https://doi.org/10.1007/s10649-014-9553-0

Richardson, F. C., & Suinn, R. M. (1972). The mathematics anxiety rating scale: Psychometric data. Journal of Counseling Psychology, 19(6), 551–554. https://doi.org/10.1037/h0033456

Schunk, D. H., & Zimmerman, B. J. (2012). Motivation and self-regulated learning: Theory, research, and applications. Routledge.

Syifa, N., Rahman, A., & Putri, D. (2024). Emotional regulation and mathematics achievement among secondary school students. Journal of Educational Psychology Research, 5(2), 88–101.

Utkun, A. (2024). Metacognitive skills as mediators between mathematics anxiety and mathematics achievement. European Journal of Educational Research, 13(1), 125–138.

Aydin, Utkun & Ozgeldi, Meric. (2024). What’s metacognition got to do with the relationship between test anxiety and mathematics achievement?. European Journal of Psychology of Education. 39. 2509–2529. 10.1007/s10212-024-00797-7.

Yan, X. (2024). Mathematics anxiety and academic achievement: A meta-analysis of recent studies. Frontiers in Psychology, 15, 1–14. https://www.icck.org/article/html/jsspa.2024.672218

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

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Published

2026-07-13

How to Cite

Pengaruh Kecemasan dan Self-Regulated Learning terhadap Prestasi Belajar Matematika Menggunakan Sem-Amos. (2026). Advances In Education Journal , 2(6), 859-869. https://journal.al-afif.org/index.php/aej/article/view/1235

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