Towards Students’ Mathematics Self-efficacy and Mathematics Anxiety in Iranian University Context
Abstract
Abstract
Teaching is a dynamic process of communication in which students and instructors continually interact together based on the situations and objectives that must be satisfied in the academic context. Anxiety concerning a specific subject is experienced by most students in the academic context, particularly in mathematics. Teaching practices, self-efficacy, and students’ anxiety in class settings directly contribute to the realization of educational objectives. Accordingly, in the university context mathematics attainment is commonly influenced by students’ self-efficacy, and their level of anxiety. The current study tried to scrutinize the relationship between mathematics freshmen students’ self-efficacy and their anxiety level on their academic enactment. This study was conducted on a group of 120 freshmen university students from different faculties who have experienced mathematics course in their classes in Islamic Azad University North Tehran Branch. In the questionnaires, students were asked to express their ideas related to different phases of teaching math in their classes. The questionnaires were adapted based on the Iranian teaching context to evaluate university students’ mathematics self-efficacy and mathematics anxiety. The outcomes of Pearson Correlation (r (118) = -.654 represented a large effect size, p < .05) specified that there was a significant, negative, and large relationship between self-efficacy and anxiety. The outcomes of the current study are also helpful for instructors who wish to gain better insight into their students’ mathematics self-efficacy and anxiety to enhance their students’ attainment.
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Ashkenazi, S., & Velner, H. (2023). The interplay between math performances, spatial abilities, and affective factors: The role of task. Trends in Neuroscience and Education, 507-511. https://doi.org/10.36315/2023inpact114
Azizi, Z., Rezai, A., Namaziandost, E., & Tilwani, S. A. (2022). The Role of Computer Self-Efficacy in High School Students’E-Learning Anxiety: A Mixed-Methods Study. Contemporary Educational Technology, 14(2).1-14. doi: 10.30935/cedtech/11570.
Aune, T., Juul, E. M. L., Beidel, D. C., Nordahl, H. M., & Dvorak, R. D. (2021). Mitigating adolescent social anxiety symptoms: the effects of social support and social self-efficacy in findings from the Young-HUNT 3 study. European Child & Adolescent Psychiatry, 30, 441-449. doi: 10.1007/s00787-020-01529-0.
Bandura, A. (1986). Social foundations of thought and action: a social cognitive theory. Englewood Cliffs, NJ: Prentice-Hall.
Bandura, A. (1997). Self-efficacy: The exercise of control. New York: W.H. Freeman.
Bandura, A., Adams, N. E., Hardy, A. B., & Howells, G. N. (1980). Tests of the generality of self-efficacy theory. Cognitive therapy and research, 4, 39-66. doi: 10.1007/BF01173354.
Cates, G. L., & Rhymer, K. N. (2003). Examining the relationship between mathematics anxiety
and mathematics performance: An instructional hierarchy perspective. Journal of
Behavioral Education, 12, 23–34.
Chityadewi, K. (2019). Meningkatkan hasil belajar matematika pada materi operasi hitung penjumlahan pecahan dengan pendekatan ctl (contextual teaching and learning). Journal of Education Technology, 3(3), 196-202. doi: 10.23887/jet.v3i3.21746.
Dagdag, J. D., Anoling Jr, O. C., Salviejo, R. P., Pascual, J. F., & Dagdag, J. M. H. (2020). Development of Problem-Solving Efficacy Scales in Mathematics. Universal Journal of Educational Research, 8(6), 2397-2405.
Ding, Y., Yang Hansen, K., & Klapp, A. (2023). Testing measurement invariance of mathematics self-concept and self-efficacy in PISA using MGCFA and the alignment method. European Journal of Psychology of Education, 38(2), 709-732.doi: 10.1007/s10212-022-00623-y
Dörnyei, Z., & Taguchi, T. (2009). Questionnaires in second language research: Construction, administration, and processing. Routledge.
Fitri, A., Darwan, D., & Muchyidin, A. (2023). Applying the influence of problem based learning applications using Lectora inspire media on student problem solving ability. Educational Insights, 1(1), 21-29.
Gao, J. (2020). Sources of mathematics self-efficacy in Chinese students: a mixed-method study with Q-sorting procedure. International Journal of Science and Mathematics Education, 18(4), 713-732.doi: 10.1007/s10763-019-09984-1
Garson, G. D. (2016). Partial least squares: Regression and structural equation models. Asheboro, NC: Statistical Associates Publishers.
George, D., & Mallery, P. (2020). IBM SPSS statistics 26 step by step: A simple guide and reference. Routledge.
Gray, C. D., & Kinnear, P. R. (2012). IBM SPSS statistics 19 made simple. Psychology Press.
Grimm, V. E., & Nachmias, C. (1977). The effect of cognitive style and manifest anxiety on intellectual and vocational interest in adolescents. Journal of Vocational Behavior, 10(2), 146-155.
Hackett, G., & Betz, N. E. (1989). An exploration of the mathematics self-efficacy/mathematics performance correspondence. Journal for research in Mathematics Education, 20(3), 261-273. doi: 10.5951/jresematheduc.20.3.0261
Hampton, N. Z., & Mason, E. (2003). Learning disabilities, gender, sources of efficacy, self-efficacy beliefs, and academic achievement in high school students. Journal of School
Psychology, 41, 101–112.
Harrison, V., Kemp, R., Brace, N., & Snelgar, R. (2021). SPSS for Psychologists. Bloomsbury Publishing.
Hood, S., Barrickman, N., Djerdjian, N., Farr, M., Magner, S., Roychowdhury, H., ... & Hull, K. (2021). “I like and prefer to work alone”: Social anxiety, academic self-efficacy, and students’ perceptions of active learning. CBE—Life Sciences Education, 20(1), 1-12. doi: 10.1187/cbe.19-12-0271.
Jaramillo, Á., Mayorga-Lascano, M., & Moreta-Herrera, R. (2020). Competitive Anxiety and Self-efficacy in High Performance Tennis Players Before and After a Competition. Revista Guillermo de Ockham, 18(1), 45-54. doi: 10.21500/22563202.4526.
Kasapoğlu, F. (2022). The relationship among spirituality, self-efficacy, COVID-19 anxiety, and hopelessness during the COVID-19 process in Turkey: A path analysis. Journal of Religion and Health, 61(1), 767-785. doi: 10.1007/s10943-021-01472-7.
Kavanagh, D. J., & Bower, G. H. (1985). Mood and self-efficacy: Impact of joy and sadness on perceived capabilities. Cognitive Therapy and Research, 9, 507-525.
Larsen, N. E., & Jang, E. E. (2021). Instructional practices, students’ self-efficacy and math achievement: A multi-level factor score path analysis. Canadian Journal of Science, Mathematics and Technology Education, 21(4), 803-823. doi: 10.1007/s42330-021-00181-3
Liu, Q., Liu, J., Cai, J., & Zhang, Z. (2020). The relationship between domain-and task-specific self-efficacy and mathematical problem posing: a large-scale study of eighth-grade students in China. Educational Studies in Mathematics, 105, 407-431.doi: 10.1007/s10649-020-09977-w
Luo, T., So, W. W. M., Li, W. C., & Yao, J. (2021). The development and validation of a survey for evaluating primary students’ self-efficacy in STEM activities. Journal of Science Education and Technology, 30, 408-419.doi: 10.1007/s10956-020-09882-0
May, D. K. (2009): Mathematics self-efficacy and anxiety questionnaire [Doctoral dissertation, University of Georgia].
Moreno, C., Pham, D., & Ye, L. (2021). Chemistry self-efficacy in lower-division chemistry courses: changes after a semester of instruction and gaps still remain between student groups. Chemistry education research and practice, 22(3), 772-785. doi: 10.1039/D0RP00345J.
Naibert, N., Duck, K. D., Phillips, M. M., & Barbera, J. (2021). Multi-institutional study of self-efficacy within flipped chemistry courses. Journal of Chemical Education, 98(5), 1489-1502. doi: 10.1021/acs.jchemed.0c01361.
Pallant, J. (2016). SPSS Survival Manual. (6th ed.). NSW. Australia: Allen & Unwin.
Pajares, F., & Graham, L. (1999). Self-efficacy, motivation constructs, and mathematics
performance of entering middle school students. Contemporary Educational Psychology,
, 124–139.
Pajares, F., & Schunk, D. H. (2001). Self-beliefs and school success: Self-efficacy, self-concept, and school achievement. Perception, 11(2), 239-266.
Passiatore, Y., Pirchio, S., Oliva, C., Panno, A., & Carrus, G. (2019). Self-efficacy and anxiety in learning English as a Foreign language: Singing in class helps speaking performance. Journal of Educational, Cultural and Psychological Studies,20, 121-138. doi: 10.7358/ecps-2019-020-passi.
Pajares, F., & Valiante, G. (1997). Influence of self-efficacy on elementary students’ writing. The Journal of Educational Research, 90(6), 353-360.doi: 10.1080/00220671.1997.10544593
Richardson, R. C., & Suinn, R. M. (1972). The Mathematics Anxiety Rating Scale: Psychometric
data. Journal of Counseling Psychology, 19, 551–554.
Stanley, M. A. (2002). Generalized anxiety disorder in later life. In D. Nutt, K. Rickels, & D. J. Stein (Eds.), Generalized anxiety disorder: Symptomatology, pathogenesis and management (pp. 171-183). Martin Dunitz
Tabachnick, B.G. and Fidell, L.S. (2019). Using Multivariate Statistics. (7th ed.). Boston: Pearson Inc.
Usher, E. L., & Pajares, F. (2009). Sources of self-efficacy in mathematics: A validation study.
Contemporary Educational Psychology, 34, 89–101.
Watkins, M. W. (2021). A step-by-step guide to exploratory factor analysis with SPSS. Routledge.
Webb-Williams, J. (2018). Science self-efficacy in the primary classroom: Using mixed methods to investigate sources of self-efficacy. Research in Science Education, 48(5), 939-961. doi: 10.1007/s11165-016-9592-0
Wong, S. Y., Liang, J. C., & Tsai, C. C. (2021). Uncovering Malaysian secondary school students’ academic hardiness in science, conceptions of learning science, and science learning self-efficacy: a structural equation modelling analysis. Research in Science Education, 51, 537-564. doi: 10.1007/s11165-019-09908-7
Zeldin, A. L., Britner, S. L., & Pajares, F. (2008). A comparative study of the self-efficacy of
successful men and women in mathematics, science and technology careers. Journal of
Research in Science Teaching, 45, 1036–1058.
Zhu, X., Raquel, M., & Aryadoust, V. (2019). Structural equation modeling to predict performance in English proficiency tests. In Quantitative Data Analysis for Language Assessment Volume II (pp. 101-126). Routledge.
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