Mathematical Anxiety and Resilience as an Influence of Mathematical Literacy Skills

Authors

  • Raden Roafli Bilhaki Universitas Muhammadiyah Prof. DR. HAMKA
  • Ayu Faradillah Universitas Muhammadiyah Prof. DR. HAMKA

DOI:

https://doi.org/10.33394/j-ps.v13i3.15468

Keywords:

Mathematical Anxiety, Resilience, Mathematical Literacy Skills

Abstract

Mathematical literacy is essential for applying mathematical concepts to real-life problems, yet its development is often hindered by psychological factors such as anxiety and resilience. Mathematics anxiety negatively affects students' cognitive and problem-solving abilities, while resilience supports emotional regulation and sustained learning. This study aims to examine the combined influence of mathematics anxiety and resilience on students’ mathematical literacy. The research method used was qualitative with a phenomenological approach. The data collection process, including validity, reliability, and subject selection, was conducted using the Winstep application. Three subjects were selected according to three levels of mathematical literacy. The data analysis process involved administering tests, questionnaires, and interviews, with the test questions focusing on probability material. The results of the study indicate that students with high anxiety levels and low resilience have lower mathematics literacy scores. They are unable to complete all the ability indicators. Similarly, students with moderate anxiety and moderate resilience also showed low literacy scores. They were able to complete questions on the comprehension and representation indicators.

References

Almaiah, M. A., Alfaisal, R., Salloum, S. A., Hajjej, F., Thabit, S., El-Qirem, F. A., … Al-Maroof, R. S. (2022). Examining the Impact of Artificial Intelligence and Social and Computer Anxiety in E-Learning Settings: Students’ Perceptions at the University Level. Electronics (Switzerland), 11(22), 1–22. https://doi.org/10.3390/electronics11223662

Anderson, R. C., Bousselot, T., Katz-Buoincontro, J., & Todd, J. (2021). Generating Buoyancy in a Sea of Uncertainty: Teachers Creativity and Well-Being During the COVID-19 Pandemic. Frontiers in Psychology, 11(January), 1–17. https://doi.org/10.3389/fpsyg.2020.614774

Bilad, M. R., Zubaidah, S., & Prayogi, S. (2024). Addressing the PISA 2022 Results: A Call for Reinvigorating Indonesia’s Education System. International Journal of Essential Competencies in Education, 3(1), 1–12. https://doi.org/10.36312/ijece.v3i1.1935

Bolstad, O. H. (2020). Secondary teachers’ operationalisation of mathematical literacy. European Journal of Science and Mathematics Education, 8(3), 115–135. https://doi.org/10.30935/scimath/9551

Budhathoki, B. B., Acharya, B. R., Belbase, S., Kshetree, M. P., Khanal, B., & Panthi, R. K. (2022). High School Students’ Mathematics Anxiety: Discouragement, Abuse, Fear, and Dilemma Induced through Adults’ Verbal Behaviour. International Journal of Learning, Teaching and Educational Research, 21(6), 247–269. https://doi.org/10.26803/ijlter.21.6.15

Cevikbas, M., Kaiser, G., & Schukajlow, S. (2022). A systematic literature review of the current discussion on mathematical modelling competencies: state-of-the-art developments in conceptualizing, measuring, and fostering. In Educational Studies in Mathematics (Vol. 109). Springer Netherlands. https://doi.org/10.1007/s10649-021-10104-6

Chausson, A., Turner, B., Seddon, D., Chabaneix, N., Girardin, C. A. J., Kapos, V., … Seddon, N. (2020). Mapping the effectiveness of nature-based solutions for climate change adaptation. Global Change Biology, 26(11), 6134–6155. https://doi.org/10.1111/gcb.15310

Chew, S. L., & Cerbin, W. J. (2021). The cognitive challenges of effective teaching. Journal of Economic Education, 52(1), 17–40. https://doi.org/10.1080/00220485.2020.1845266

Chirumamilla, A., Sindre, G., & Nguyen-Duc, A. (2020). Cheating in e-exams and paper exams: the perceptions of engineering students and teachers in Norway. Assessment and Evaluation in Higher Education, 45(7), 940–957. https://doi.org/10.1080/02602938.2020.1719975

Donolato, E., Toffalini, E., Giofrè, D., Caviola, S., & Mammarella, I. C. (2020). Going Beyond Mathematics Anxiety in Primary and Middle School Students: The Role of Ego-Resiliency in Mathematics. Mind, Brain, and Education, 14(3), 255–266. https://doi.org/10.1111/mbe.12251

Elangovan, N., & Sundaravel, E. (2021). Method of preparing a document for survey instrument validation by experts. MethodsX, 8(April), 101326. https://doi.org/10.1016/j.mex.2021.101326

Eschenbacher, S., & Fleming, T. (2020). Transformative dimensions of lifelong learning: Mezirow, Rorty and COVID-19. International Review of Education, 66(5–6), 657–672. https://doi.org/10.1007/s11159-020-09859-6

Eshet, Y., Grinautsky, K., & Steinberger, P. (2024). To behave or not (un)ethically? The meditative effect of mindfulness on statistics anxiety and academic dishonesty moderated by risk aversion. International Journal for Educational Integrity, 20(1), 1–18. https://doi.org/10.1007/s40979-024-00151-w

Faradillah, A., & Septiana, C. (2022). Mathematical Resilience: Validity and Reliability With Rasch Model and Spss in Senior High School. AKSIOMA: Jurnal Program Studi Pendidikan Matematika, 11(4), 3545. https://doi.org/10.24127/ajpm.v11i4.5204

Faradillah, A., & Wulandari, S. (2021). Daya Matematis : Jurnal Inovasi Pendidikan Matematika. Daya Matematis: Jurnal Inovasi Pendidikan Matematika, 9 (2)(July), 96–103. Retrieved from 0AAbstract

Feng, J., Han, P., Zheng, W., & Kamran, A. (2022). Identifying the factors affecting strategic decision-making ability to boost the entrepreneurial performance: A hybrid structural equation modeling – artificial neural network approach. Frontiers in Psychology, 13(October), 1–13. https://doi.org/10.3389/fpsyg.2022.1038604

Fitri, M. R. (2024). Analysis of Item Response Theory in Science Literacy Assessment Containing Local Wisdom and Pancasila Student Profile. 13(2), 229–243.

Frechette, J., Bitzas, V., Aubry, M., Kilpatrick, K., & Lavoie-Tremblay, M. (2020). Capturing Lived Experience: Methodological Considerations for Interpretive Phenomenological Inquiry. International Journal of Qualitative Methods, 19, 1–12. https://doi.org/10.1177/1609406920907254

Fullerton, D. J., Zhang, L. M., & Kleitman, S. (2021). An integrative process model of resilience in an academic context: Resilience resources, coping strategies, and positive adaptation. PLoS ONE, 16(2 February), 1–22. https://doi.org/10.1371/journal.pone.0246000

Gabriel, F., Buckley, S., & Barthakur, A. (2020). The impact of mathematics anxiety on self-regulated learning and mathematical literacy. Australian Journal of Education, 64(3), 227–242. https://doi.org/10.1177/0004944120947881

Güner, P., & Erbay, H. N. (2021). Metacognitive Skills and Problem-Solving. International Journal of Research in Education and Science, 715–734. https://doi.org/10.46328/ijres.1594

Hartman, J. R., Hart, S., Nelson, E. A., & Kirschner, P. A. (2023). Designing mathematics standards in agreement with science. International Electronic Journal of Mathematics Education, 18(3), em0739. https://doi.org/10.29333/iejme/13179

Hiller, S. E., Kitsantas, A., Cheema, J. E., & Poulou, M. (2022). Mathematics anxiety and self-efficacy as predictors of mathematics literacy. International Journal of Mathematical Education in Science and Technology, 53(8), 2133–2151. https://doi.org/10.1080/0020739X.2020.1868589

Hwang, J., & Ham, Y. (2021). Relationship between mathematical literacy and opportunity to learn with different types of mathematical tasks. Journal on Mathematics Education, 12(2), 199–222. https://doi.org/10.22342/JME.12.2.13625.199-222

Imreh, G., Hu, J., & Le Guyader, S. (2024). Improving light microscopy training routines with evidence-based education. Journal of Microscopy, 294(3), 295–307. https://doi.org/10.1111/jmi.13216

Iswanto, A., & Faradillah, A. (2023). Analysis of Mathematical Reasoning Ability in Trigonometry Materials Viewed from Students’ Mathematical Resilience. Mosharafa: Jurnal Pendidikan Matematika, 12(3), 477–492. https://doi.org/10.31980/mosharafa.v12i3.821

Jin, S., Fang, G., Cheung, K. C., & Sit, P. S. (2022). Factors associated with academic resilience in disadvantaged students: An analysis based on the PISA 2015 B-S-J-G (China) sample. Frontiers in Psychology, 13(September), 1–15. https://doi.org/10.3389/fpsyg.2022.846466

Johnston-Wilder, S., Lee, C., & Mackrell, K. (2021). Addressing Mathematics Anxiety through Developing Resilience: Building on Self-Determination Theory. Creative Education, 12(09), 2098–2115. https://doi.org/10.4236/ce.2021.129161

Khasawneh, E., Gosling, C., & Williams, B. (2021). What impact does maths anxiety have on university students? BMC Psychology, 9(1), 1–9. https://doi.org/10.1186/s40359-021-00537-2

Kolar, V. M., & Hodnik, T. (2021). Mathematical literacy from the perspective of solving contextual problems. European Journal of Educational Research, 10(1), 467–483. https://doi.org/10.12973/EU-JER.10.1.467

Lugosi, E., & Uribe, G. (2022). Active learning strategies with positive effects on students’ achievements in undergraduate mathematics education. International Journal of Mathematical Education in Science and Technology, 53(2), 403–424. https://doi.org/10.1080/0020739X.2020.1773555

Luo, Z., Subramaniam, G., & Steen, B. (2020). Will Anxiety Boost Motivation? The Relationship between Anxiety and Motivation in Foreign Language Learning. Malaysian Journal of ELT Research, 17(1), 53–71.

Mainali, B. (2021). Representation in teaching and learning mathematics. International Journal of Education in Mathematics, Science and Technology, 9(1), 1–21. https://doi.org/10.46328/ijemst.1111

Matsumoto, N., & Kawaguchi, J. (2020). Negative item memory and associative memory: Influences of working memory capacity, anxiety sensitivity, and looming cognition. Journal of Behavior Therapy and Experimental Psychiatry, 68(March), 101569. https://doi.org/10.1016/j.jbtep.2020.101569

McLeod, S., & Dulsky, S. (2021). Resilience, Reorientation, and Reinvention: School Leadership During the Early Months of the COVID-19 Pandemic. Frontiers in Education, 6(March), 1–13. https://doi.org/10.3389/feduc.2021.637075

Nanda, D. W., & Azmy, K. (2020). POOR READING COMPREHENSION ISSUE IN EFL CLASSROOM AMONG INDONESIAN SECONDARY SCHOOL STUDENTS: Scrutinizing the causes, impacts and possible solutions. Englisia: Journal of Language, Education, and Humanities, 8(1), 12. https://doi.org/10.22373/ej.v8i1.6771

Nurjanah, I., & Alyani, F. (2021). Kecemasan Matematika Siswa Sekolah Menengah pada Pembelajaran Matematika dalam Jaringan. Jurnal Elemen, 7(2), 407–424. https://doi.org/10.29408/jel.v7i2.3522

Owan, V. J., Abang, K. B., Idika, D. O., Etta, E. O., & Bassey, B. A. (2023). Exploring the potential of artificial intelligence tools in educational measurement and assessment. Eurasia Journal of Mathematics, Science and Technology Education, 19(8). https://doi.org/10.29333/ejmste/13428

Ozkale, A., & Ozdemir Erdogan, E. (2022). An analysis of the interaction between mathematical literacy and financial literacy in PISA*. International Journal of Mathematical Education in Science and Technology, 53(8), 1983–2003. https://doi.org/10.1080/0020739X.2020.1842526

Putri, H. E., Wahyudy, M. A., Yuliyanto, A., & Nuraeni, F. (2020). Development of instruments to measure mathematical anxiety of elementary school students. International Journal of Learning, Teaching and Educational Research, 19(6), 282–302. https://doi.org/10.26803/IJLTER.19.6.17

Putri, I. I., Rahmat, A., & Riza, L. S. (2024). Assessing Undergraduate Cognitive System Thinking Instruments in Genetics Lectures : A Rasch Model Analysis. 16, 3924–3937. https://doi.org/10.35445/alishlah.v16i3.5621

Ramadianto, A. S., Kusumadewi, I., Agiananda, F., & Raharjanti, N. W. (2022). Symptoms of depression and anxiety in Indonesian medical students: association with coping strategy and resilience. BMC Psychiatry, 22(1), 1–11. https://doi.org/10.1186/s12888-022-03745-1

Ruiz-Martín, H., & Bybee, R. W. (2022). The cognitive principles of learning underlying the 5E Model of Instruction. International Journal of STEM Education, 9(1). https://doi.org/10.1186/s40594-022-00337-z

Simamora, R. M. (2020). The Challenges of Online Learning during the COVID-19 Pandemic: An Essay Analysis of Performing Arts Education Students. Studies in Learning and Teaching, 1(2), 86–103. https://doi.org/10.46627/silet.v1i2.38

Suadiyatno, T., Firman, E., Hanan, A., & Sumarsono, D. (2020). Examining the Effect of Contextual Teaching-Learning and Anxiety Towards Students’ Speaking Skills. Journal of Languages and Language Teaching, 8(1), 100. https://doi.org/10.33394/jollt.v8i1.2266

Suren, N., & Ali Kandemir, M. (2020). The effects of mathematics anxiety and motivation on students’ mathematics achievement. International Journal of Education in Mathematics, Science and Technology, 8(3), 190–218. https://doi.org/10.46328/IJEMST.V8I3.926

Susnjak, T. (2024). education sciences ChatGPT : The End of Online Exam Integrity ? 1–20.

Szczygieł, M. (2020). When does math anxiety in parents and teachers predict math anxiety and math achievement in elementary school children? The role of gender and grade year. In Social Psychology of Education (Vol. 23). Springer Netherlands. https://doi.org/10.1007/s11218-020-09570-2

Taherdoost, H. (2021). Data Collection Methods and Tools for Research; A Step-by-Step Guide to Choose Data Collection Technique for Academic and Business Research Projects Hamed Taherdoost. Data Collection Methods and Tools for Research; A Step-by-Step Guide to Choose Data Coll. International Journal of Academic Research in Management (IJARM), 2021(1), 10–38. Retrieved from https://hal.science/hal-03741847

Tong, D. H., Uyen, B. P., & Quoc, N. V. A. (2021). The improvement of 10th students’ mathematical communication skills through learning ellipse topics. Heliyon, 7(11), e08282. https://doi.org/10.1016/j.heliyon.2021.e08282

Tuffour, I. (2017). A Critical Overview of Interpretative Phenomenological Analysis: A Contemporary Qualitative Research Approach. Journal of Healthcare Communications, 02(04). https://doi.org/10.4172/2472-1654.100093

Wang, X., Gao, Y., Wang, Q., & Zhang, P. (2024). Relationships between Self-Efficacy and Teachers’ Well-Being in Middle School English Teachers: The Mediating Role of Teaching Satisfaction and Resilience. Behavioral Sciences, 14(8). https://doi.org/10.3390/bs14080629

Widyaningrum, A., Lutfiyana, R. D., Faradillah, A., & Miatun, A. (2024). Survey of Rasch Model Analysis of Mathematical Literacy Abilities of Senior High School Students. 5(1), 57–66.

Xenofontos, C., & Mouroutsou, S. (2023). Resilience in mathematics education research: a systematic review of empirical studies. Scandinavian Journal of Educational Research, 67(7), 1041–1055. https://doi.org/10.1080/00313831.2022.2115132

Yasmin, F., Muhammad Umar Farooq, & Syed Kazim Shah. (2023). Impact of Exam-Oriented Education System on Undergraduate Students’ Cognitive, Affective and Psychomotor Competencies. International Journal of Linguistics and Culture, 4(1), 109–125. https://doi.org/10.52700/ijlc.v4i1.180

Živković, M., Pellizzoni, S., Mammarella, I. C., & Passolunghi, M. C. (2023). The relationship betweens math anxiety and arithmetic reasoning: The mediating role of working memory and self-competence. Current Psychology, 42(17), 14506–14516. https://doi.org/10.1007/s12144-022-02765-0

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Published

2025-05-25

How to Cite

Bilhaki, R. R., & Faradillah, A. (2025). Mathematical Anxiety and Resilience as an Influence of Mathematical Literacy Skills. Prisma Sains : Jurnal Pengkajian Ilmu Dan Pembelajaran Matematika Dan IPA IKIP Mataram, 13(3), 430–448. https://doi.org/10.33394/j-ps.v13i3.15468

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Research Articles