A Structural Model of Attitudes Toward Mathematics as Estimated by Teaching Strategies, Learning Styles, and Motivation of Senior High School Students

This study examined the relationships among teaching strategies, learning styles, motivation and attitudes of students toward mathematics. Using a quantitative research design, Structural Equation Modeling (SEM) was employed to determine the levels of these variables and develop a structural model explaining their interrelationships. It was conducted among 380 grade 11 students from selected private senior high school institutions in Region XI, Philippines. Descriptive statistics revealed that teaching strategies were practiced at a high level, with teacher-centered strategies more prevalent than student-centered approaches. Learning styles were also rated as high, with visual style being the most preferred, followed by kinesthetic and auditory styles. Students’ motivation in learning mathematics was rated as moderate, with intrinsic value, self-regulation, and utility value rated high, while self-efficacy was moderate and test anxiety remained a concern. Students’ attitudes toward mathematics were also moderate, implying that although they generally value mathematics and exert effort in learning it, limited confidence and test anxiety may hinder stronger positive attitudes. Correlation analysis showed that teaching strategies and motivation had positive correlation with students’ attitudes toward mathematics, while learning styles showed a negative relationship, suggesting that different learning styles may influence students’ attitudes toward mathematics differently, depending on how they engage and perceive mathematical information. Moreover, the best-fit model demonstrated that motivation plays a dominant role in forming students’ attitude toward mathematics, followed by learning styles. On the other hand, teaching strategies can indirectly influence student’s attitudes by fostering motivation and learning styles.

Teaching strategies, learning styles, motivation, attitudes, best-fit structural model, Philippines.

1. Abah, J., Chinaka, T. W., & Ogbiji, E. O. (2024). Effect of kinesthetic learning on students’ interest and achievement in mathematics. Mathematics Education Journal, 8(2), 120–136. [Google Scholar] [Crossref]

2. https://doi.org/10.22219/mej.v8i2.34218 [Google Scholar] [Crossref]

3. Ablian, J. D., & Parangat, K. B. (2021). Mathematics anxiety and mathematics self-efficacy among senior high school students in public secondary schools in Botolan District. Bigkis: ALCU Region III Research Journal. [Google Scholar] [Crossref]

4. Adamma, O. N., Ekwutosim, O. P., & Unamba, E. C. (2018). Influence of extrinsic and intrinsic motivation on pupils’ academic performance in mathematics. SJME (Supremum Journal of Mathematics Education), 2(2), 52–59. https://doi.org/10.35706/sjme.v2i2.1322 [Google Scholar] [Crossref]

5. Aguilar, J. J. (2021). High school students’ reasons for disliking mathematics: The intersection between teacher’s role and student’s emotions, belief and self-efficacy. International Electronic Journal of Mathematics Education, 16(3), em0658. https://doi.org/10.29333/iejme/11294 [Google Scholar] [Crossref]

6. Alemany-Arrebola, I., Del Mar Ortiz-Gómez, M., Lizarte-Simón, E. J., & Mingorance-Estrada, Á. C. (2025). The attitudes towards mathematics: analysis in a multicultural context. Humanities and Social Sciences Communications, 12(1). https://doi.org/10.1057/s41599-025-04548-x [Google Scholar] [Crossref]

7. Artuz, J. K. A., & Roble, D. B. (2021). Developing students’ critical thinking skills in mathematics using online-process oriented guided inquiry learning (O-POGIL). American Journal of Educational Research, 9(7), 404–409. https://doi.org/10.12691/education-9-7-2 [Google Scholar] [Crossref]

8. Awado, T. M., Abalos, T. J., Pelago, H. R., Morales, V., Torres, J. G., Milano, M. L., Hallarte, K., Gonzales, R., & Gonzales, G. (2024). Impact of teaching style on perceived mathematics achievement of elementary education preservice teachers: the mediating roles of attitude and math self-concept. Discover Education, 3(1). https://doi.org/10.1007/s44217-024-00388-0 [Google Scholar] [Crossref]

9. Balan, A., & Jönsson, A. (2025). Evaluation of a self-instructional self-regulated learning material in mathematics. Frontiers in Education, 10. https://doi.org/10.3389/feduc.2025.1507803 [Google Scholar] [Crossref]

10. Balolong, E. R., Gerzon, M. R., Manilag, S. J., Peteros, E. D., & Etcuban, J. O. (2025). Students’ motivation, learning strategies, and math performance in the modular distance learning during the COVID-19 pandemic. Journal of Research in Mathematics Education, 14(1), 76–94. [Google Scholar] [Crossref]

11. https://doi.org/10.17583/redimat.14638 [Google Scholar] [Crossref]

12. Bature, I. J. (2020). The mathematics teachers shift from the traditional teacher-centred classroom to a more constructivist student-centred Epistemology. OALib, 07(05), 1–26. [Google Scholar] [Crossref]

13. https://doi.org/10.4236/oalib.1106389 [Google Scholar] [Crossref]

14. Bearneza, F. J. D. (2023). Students’ learning styles and performance in mathematics: Basis for the development of teaching materials. Zenodo (CERN European Organization for Nuclear Research). https://doi.org/10.5281/zenodo.7776622 [Google Scholar] [Crossref]

15. Bosco, P. D., Karunanidhi, S., & Sasikala, D. S. (2022). Construction and validation of attitude towards mathematics scale (AtMS). Journal of Positive School Psychology, 6(6), 1676-1685. [Google Scholar] [Crossref]

16. https://journalppw.com [Google Scholar] [Crossref]

17. Bravo, G. A., & Nobles, B. (2023). Students’ growth mindset, motivation, and mathematics performance: A correlational study. Asia Pacific Higher Education Research Journal (APHERJ), 10(1). https://doi.org/10.56278/apherj.v10i1.1976 [Google Scholar] [Crossref]

18. Britwum, B. A., Ntow, F. D., & Smith, J. A. (2024). Influence of teaching approaches on senior high school students’ mathematical mindset. SAGE Open, 14(1). [Google Scholar] [Crossref]

19. https://doi.org/10.1177/21582440241237060 [Google Scholar] [Crossref]

20. Caballero, S., De Vera, J., Mangubat, R., & Calasang, V. (2025). Teacher strategies and its influence on student mathematic performance. International Journal of Educational Studies, 8(1), 43–52. https://doi.org/10.53935/2641533x.v8i1.296 [Google Scholar] [Crossref]

21. Calibara, K. J. A., & Belarga, A. M. (2024). Understanding mathematically talented male learners’ perception of teaching mathematics as a profession: A path analysis. International Journal of Multidisciplinary Applied Business and Education Research, 5(7), 2422–2449. [Google Scholar] [Crossref]

22. https://doi.org/10.11594/ijmaber.05.07.06 [Google Scholar] [Crossref]

23. Campanilla, N. S. (2024). Exploratory analysis of learners’ motivation on learning Mathematics in Philippines. Journal of Social Humanity and Education, 5(1), 37–59. [Google Scholar] [Crossref]

24. https://doi.org/10.35912/jshe.v5i1.2115 [Google Scholar] [Crossref]

25. Carr, J. M., Schoephoerster, K., & Riegel, C. (2024). The impact of kinesthetic instructional strategies and manipulatives on fourth grader’s self-efficacy and self-confidence toward multiplication. Mathematical Thinking and Learning, 1–17. [Google Scholar] [Crossref]

26. https://doi.org/10.1080/10986065.2024.2343036 [Google Scholar] [Crossref]

27. Casty, M. M., Ciriaka, M. G., & Peter, R. (2021). Mathematics anxiety, attitude and performance among secondary school students in Kenya. Educational Research and Reviews, 16(6), 226–235. https://doi.org/10.5897/err2021.4119 [Google Scholar] [Crossref]

28. Cerbito, A. F. (2020). Comparative analysis of mathematics proficiency and attitudes toward mathematics of senior high school student. International Journal of Scientific and Research Publications, 10(05), 211–222. https://doi.org/10.29322/ijsrp.10.05.2020.p10125 [Google Scholar] [Crossref]

29. Chand, S., Chaudhary, K., Prasad, A., & Chand, V. (2021). Perceived causes of students’ poor performance in mathematics: a case study at BA and Tavua Secondary Schools. Frontiers in Applied Mathematics and Statistics, 7. https://doi.org/10.3389/fams.2021.614408 [Google Scholar] [Crossref]

30. Chi, C. (2023). Philippines still lags behind world in math, reading and science. PISA 2022. Philstar.com. https://www.philstar.com/headlines/2023/12/06/2316732/philippines-still-lags-behind-world-math-reading-and-science-pisa- [Google Scholar] [Crossref]

31. Clemente, J., Kilag, O. K., Ypon, A., Groenewald, E., Groenewald, C. A., & Ubay, R. (2024). Enhancing mathematics self-efficacy: Intervention strategies and effectiveness – A systematic review. International Multidisciplinary Journal of Research for Innovation, Sustainability, and Excellence (IMJRISE), 1(2), 274-280. https://risejournals.org/index.php/imjrise/article/view/149 [Google Scholar] [Crossref]

32. Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approach (5th ed.). SAGE Publications. [Google Scholar] [Crossref]

33. Donkoh, S., & Amoakwah, A. (2024). Use and challenges of learner-centered pedagogy: Basic school teachers’ perspective. European Journal of Education and Pedagogy, 5(1), 66–71. [Google Scholar] [Crossref]

34. https://doi.org/10.24018/ejedu.2024.5.1.774 [Google Scholar] [Crossref]

35. Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53(1), 109–132. https://doi.org/10.1146/annurev.psych.53.100901.135153 [Google Scholar] [Crossref]

36. El-Sabagh, H. A. (2021). Adaptive e-learning environment based on learning styles and its impact on development students’ engagement. International Journal of Educational Technology in Higher Education, 18(1). https://doi.org/10.1186/s41239-021-00289-4 [Google Scholar] [Crossref]

37. Emanet, E. A., & Kezer, F. (2020). The effects of student-centered teaching methods used in mathematics courses on mathematics achievement, attitude, and anxiety: a meta-analysis study. Participatory Educational Research, 8(2), 240–259. https://doi.org/10.17275/per.21.38.8.2 [Google Scholar] [Crossref]

38. Emban, E. M., Pactos, E. M. C., Pelare, G. B., & Nanud, M. N. D. (2023). Students’ learning styles and academic performance. Universal Journal of Interdisciplinary Research and Technology, 6(3), 35–42. https://uijrt.com/articles/v6/i3/UIJRTV6I30007.pdf [Google Scholar] [Crossref]

39. Estonanto, A. J. J., & Dio, R. V. (2019). Factors causing mathematics anxiety of senior high school students in calculus. Asian Journal of Education and e- Learning, 7(1). [Google Scholar] [Crossref]

40. https://doi.org/10.24203/ajeel.v7i1.5701 [Google Scholar] [Crossref]

41. Feraco, T., Resnati, D., Fregonese, D., Spoto, A., & Meneghetti, C. (2022). An integrated model of school students’ academic achievement and life satisfaction. Linking soft skills, extracurricular activities, self-regulated learning, motivation, and emotions. European Journal of Psychology of Education, 38(1), 109–130. https://doi.org/10.1007/s10212-022-00601-4 [Google Scholar] [Crossref]

42. Fiorella, L., Yoon, S. Y., Atit, K., Power, J. R., Panther, G., Sorby, S., Uttal, D. H., & Veurink, N. (2021). Validation of the mathematics motivation questionnaire (mmq) for secondary school students. International Journal of STEM Education, 8(1). https://doi.org/10.1186/s40594-021-00307-x [Google Scholar] [Crossref]

43. Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2019). How to design and evaluate research in education (10th ed.). McGraw-Hill Education. [Google Scholar] [Crossref]

44. Gurang, J. A., & Eugenio S. Guhao, Jr. (2024). Study math anxiety, attitudes toward ict and study habits among senior high school students: A path model analysis on student academic motivation in mathematics. International Journal of Research Publication and Reviews, 5(7), 1103–1118. https://doi.org/10.55248/gengpi.5.0724.1722 [Google Scholar] [Crossref]

45. Hokor, E. K., & Sedofia, J. (2021). Developing probabilistic reasoning in preservice teachers: Comparing the learner-centered and teacher-centered approaches of teaching. International Journal of Studies in Education and Science (IJSES), 2(2), 120–145. [Google Scholar] [Crossref]

46. Hussein, Y. F., & Csíkos, C. (2023). The effect of teaching conceptual knowledge on students’ achievement, anxiety about, and attitude toward mathematics. Eurasia Journal of Mathematics Science and Technology Education, 19(2), em2226. https://doi.org/10.29333/ejmste/12938 [Google Scholar] [Crossref]

47. Hwang, S., & Son, T. (2021). Students’ Attitude toward Mathematics and its Relationship with Mathematics Achievement. Journal of Education and e-Learning Research, 8(3), 272–280. https://doi.org/10.20448/journal.509.2021.83.272.280 [Google Scholar] [Crossref]

48. Ikawati, O. N., & Kowiyah, K. (2021). Visual, auditory, and kinesthetic learning model on the mathematics problem solving ability. Desimal Jurnal Matematika, 4(1), 13–20. [Google Scholar] [Crossref]

49. https://doi.org/10.24042/djm.v4i1.7362 [Google Scholar] [Crossref]

50. Isa, S., Mammam, M., Bala, Y., & Badar, Y. (2022). The impact of teaching methods on academic performance of secondary school students in Nigeria. https://doi.org/10.37118/ijdr.18223.07.2020 [Google Scholar] [Crossref]

51. Ishartono, N., Faiziyah, N., Sutarni, S., Putri, A. B., Fatmasari, L. W. S., Sayuti, M., Rahmaniati, R., & Yunus, M. M. (2021). Visual, Auditory, and Kinesthetic Students: How they Solve PISA-Oriented Mathematics Problems? Journal of Physics Conference Series, 1720(1), 012012. [Google Scholar] [Crossref]

52. https://doi.org/10.1088/1742-6596/1720/1/012012 [Google Scholar] [Crossref]

53. Khatri, T. B., & Khanal, B. (2024). Mathematics Learning Style and Achievement of Secondary Level Students. Journal of Musikot Campus, 2(1), 234–253. https://doi.org/10.3126/jmc.v2i1.70847 [Google Scholar] [Crossref]

54. Khoirunnisa, S., & Iba, K. (2022). Correlation Study of Visual, Auditorial and Kinesthetic Learning Styles (VAK) with mathematics learning outcomes for elementary school students. Jurnal Paedagogy, 9(4), 790. https://doi.org/10.33394/jp.v9i4.5495 [Google Scholar] [Crossref]

55. Kline, R. B. (2016). Principles and Practice of Structural Equation Modeling (4th ed.). New York, NY: The Guilford Press. [Google Scholar] [Crossref]

56. Kurniati, I., & Surya, E. (2017). Student’s perception of their teacher teaching style’s. International Journal of Sciences: Basic and Applied Research (IJSBAR), 33(2), 91–98. [Google Scholar] [Crossref]

57. https://gssrr.org/index.php?journal=JournalOfBasicAndApplied [Google Scholar] [Crossref]

58. Levine, S. C., & Pantoja, N. (2021). Development of children’s math attitudes: Gender differences, key socializers, and intervention approaches. Developmental Review, 62, [Google Scholar] [Crossref]

59. https://doi.org/10.1016/j.dr.2021.100997 [Google Scholar] [Crossref]

60. Lo, C. K., & Hew, K. F. (2021). Student engagement in mathematics flipped classrooms: Implications of journal publications from 2011 to 2020. Frontiers in Psychology, 12. [Google Scholar] [Crossref]

61. https://doi.org/10.3389/fpsyg.2021.672610 [Google Scholar] [Crossref]

62. Lumatauw, L., Wollah, M., & Tulangow, R. (2020). Application of student-centered learning (SCL) method through discovery strategies in vocational educations. Open Journal of Social Sciences, 08(11), 82–90. https://doi.org/10.4236/jss.2020.811008 [Google Scholar] [Crossref]

63. Magulod, G. (2019). Learning styles, study habits and academic performance of Filipino University students in applied science courses: Implications for instruction. Journal of Technology and Science Education, 9(2), 184. https://doi.org/10.3926/jotse.504 [Google Scholar] [Crossref]

64. Mangarin, R. A., & Montefolka, G. R. L. (2023). The influence of Social-Emotional intelligence on attitude towards mathematics instruction. International Journal of Research and Innovation in Social Science, VII(IV), 801–815. https://doi.org/10.47772/ijriss.2023.7466 [Google Scholar] [Crossref]

65. Masela, M., & Subekti, A. S. (2021). Auditory and kinaesthetic learning styles and L2 achievement: A correlational study. Englisia: Journal of Language, Education, and Humanities, 8(2), 41–53. https://doi.org/10.22373/ej.v8i2.7529 [Google Scholar] [Crossref]

66. Mengote, J. S. (2024). Learning preferences and mathematics achievement among eleventh graders. International Research Journal of Modernization in Engineering Technology and Science, 6(7), 1-8. https://doi.org/10.56726/IRJMETS60174 [Google Scholar] [Crossref]

67. Metzger, B. D., Margalit, B., & Sironi, L. (2019). Fast radio bursts as synchrotron maser emission from decelerating relativistic blast waves. Monthly Notices of the Royal Astronomical Society, 485(3), 4091–4106. https://doi.org/10.1093/mnras/stz700 [Google Scholar] [Crossref]

68. Miksza, P., Shaw, J. T., Richerme, L. K., Hash, P. M., & Hodges, D. A. (2023). Music Education Research. In Oxford University Press eBooks. https://doi.org/10.1093/oso/9780197639757.001.0001 [Google Scholar] [Crossref]

69. Muminu, R. A. N., & Munadi. (2025). The influence of mathematical creative thinking ability in terms of learning styles on the learning of compound interest and annuities among students. Journal of English Language and Education, 10(1), Article 657. https://doi.org/10.31004/jele.v10i1.657 [Google Scholar] [Crossref]

70. Nasayao, R. A., & Lingo, J. T. (2023). Improving Students’ Attitudes and Conceptual Understanding in Mathematics using Different Teaching Strategies. International Journal of Membrane Science and Technology, 10(3), 638–647. https://doi.org/10.15379/ijmst.v10i3.1584 [Google Scholar] [Crossref]

71. Nolasco, D. (2025). Unearthing mathematics anxiety: A qualitative exploration of student experiences. Journal of Technology and Science Education, 15(2), 223-239. https://doi.org/10.3926/jotse.2950 [Google Scholar] [Crossref]

72. O’Brien, L. (1989). Learning styles: make the student aware. National Association of Secondary School Principals Bulletin, 73, 85-89. https://doi.org/10.1177/019263658907351913 [Google Scholar] [Crossref]

73. Pacaldo, S. E., & Gardose, A. D. (2025). The Relationship between Self-Regulated Online Learning and Student Attitudes toward Learning Mathematics as Mediated by Internet and Social Networking Experience. International Journal of Humanities Social Sciences and Education, 12(8), 71–88. https://doi.org/10.20431/2349-0381.1208007 [Google Scholar] [Crossref]

74. Paguican, W. V., & Torreon, L. C. (2020). Students’ attitude, self-efficacy and motivation towards mathematics performance. World Wide Journal of Multidisciplinary Research and Development, 6(9), 28-33. E-ISSN: 2454-6615. [Google Scholar] [Crossref]

75. Pereyra, R. M. (2020). Preferred Learning and Teaching Styles in Filipino-8: Basis for Developing Learning Modules. ISSN: 2435-5240 The Southeast Asian Conference on Education 2020: Official Conference Proceedings. [Google Scholar] [Crossref]

76. Peterman, C. J., & Ewing, J. (2019). Effects of movement, growth mindset, and math talks on math anxiety. Journal of Multicultural Affairs, 4(1), Article 1. https://scholarworks.sfasu.edu/jma/vol4/iss1/1 [Google Scholar] [Crossref]

77. Polala, O. & Basmayor, E. (2024). Level of Mathematics Readiness and Attitudes Among Learners: Basis for an Action Plan. Psychology and Education: A Multidisciplinary Journal, 19(5), 547-558. https://doi.org/10.5281/zenodo.11099727 [Google Scholar] [Crossref]

78. Putra, A. K., Budiyono, N., & Slamet, I. (2017). Mathematical disposition of junior high school students viewed from learning styles. AIP Conference Proceedings, 1868, 050025. [Google Scholar] [Crossref]

79. https://doi.org/10.1063/1.4995152 [Google Scholar] [Crossref]

80. Radišić, J., Krstić, K., Blažanin, B., Mićić, K., Baucal, A., Peixoto, F., & Schukajlow, S. (2024). Am I a math person? Linking math identity with students’ motivation for mathematics and achievement. European Journal of Psychology of Education, 39(2), 1513–1536. [Google Scholar] [Crossref]

81. https://doi.org/10.1007/s10212-024-00811-y [Google Scholar] [Crossref]

82. Riegle-Crumb, C., Morton, K., Nguyen, U., & Dasgupta, N. (2019). Inquiry-Based instruction in science and mathematics in middle school classrooms: examining its association with students’ attitudes by gender and Race/Ethnicity. AERA Open, 5(3). https://doi.org/10.1177/2332858419867653 [Google Scholar] [Crossref]

83. Rodríguez, S., Estévez, I., Piñeiro, I., Valle, A., Vieites, T., & Regueiro, B. (2021). Perceived competence and intrinsic motivation in Mathematics: Exploring latent profiles. Sustainability, 13(16), 8707. https://doi.org/10.3390/su13168707 [Google Scholar] [Crossref]

84. Romero, A. A., & Angeles, E. D. (2023). Flipped Classroom in a Digital Learning space: Its effect on the students’ attitude toward mathematics. International Journal of Learning Teaching and Educational Research, 22(1), 210–227. https://doi.org/10.26803/ijlter.22.1.12 [Google Scholar] [Crossref]

85. Rozgonjuk, D., Kraav, T., Mikkor, K., Orav-Puurand, K., & Täht, K. (2020). Mathematics anxiety among STEM and social sciences students: the roles of mathematics self-efficacy, and deep and surface approach to learning. International Journal of STEM Education, 7(1). https://doi.org/10.1186/s40594-020-00246-z [Google Scholar] [Crossref]

86. Sasidharan, S., & Kareem, J. (2023). Mathematics self-efficacy, utility value and well-being among school students in India: Mediating role of student engagement. Investigations in Mathematics Learning, 15(4), 266–278. https://doi.org/10.1080/19477503.2023.2224652 [Google Scholar] [Crossref]

87. Schukajlow, S., Rakoczy, K., & Pekrun, R. (2023). Emotions and motivation in mathematics education: Where we are today and where we need to go. ZDM, 55(2), 249–267. https://doi.org/10.1007/s11858-022-01463-2 [Google Scholar] [Crossref]

88. Sholihah, N., & Aini, A. N. (2023). Students’ mathematical reasoning ability with visual, auditorial and kinesthetic learning styles in solving HOTS problems. Factor M, 6(1), 49–66. [Google Scholar] [Crossref]

89. https://doi.org/10.30762/factor_m.v6i1.1108 [Google Scholar] [Crossref]

90. Siller, H., & Ahmad, S. (2024). Analyzing the impact of collaborative learning approach on grade six students’ mathematics achievement and attitude towards mathematics. Eurasia Journal of Mathematics Science and Technology Education, 20(2), em2395. https://doi.org/10.29333/ejmste/14153 [Google Scholar] [Crossref]

91. Simamora, J. A., Iskandar, I., Weda, S., & Tahir, M. (2025). Student’s perceptions and experiences in kinesthetic learning: Challenges and benefits. Klasikal: Journal of Education, Language Teaching and Science, 7(1), 15–28. https://doi.org/10.52208/klasikal.v7i1.1266 [Google Scholar] [Crossref]

92. Stephan, M. (2020). Teacher-Centered teaching in Mathematics education. In Springer eBooks (pp. 836–840). https://doi.org/10.1007/978-3-030-15789-0_150 [Google Scholar] [Crossref]

93. Subia, G. S., Salangsang, L. G., & Medrano, H. B. (2018). Attitude and performance in mathematics I of bachelor of elementary education students: A correlational analysis. American Scientific Research Journal for Engineering, Technology, and Sciences, 39(1), 206–213. [Google Scholar] [Crossref]

94. https://asrjetsjournal.org/index.php/American_Scientific_Journal/article/download/3821/1378 [Google Scholar] [Crossref]

95. Suleiman, Y., & Hammed, A. (2020). Perceived causes of students’ failure in mathematics in Kwara State Junior Secondary Schools: Implication for educational managers. International Journal of Educational Studies in Mathematics, 6(1), 19–33. [Google Scholar] [Crossref]

96. https://dergipark.org.tr/en/download/article-file/664681 [Google Scholar] [Crossref]

97. Sulisawati, D. N., Lutfiyah, L., Murtinasari, F., & Sukma, L. (2019). Differences of visual, auditorial, kinesthetic students in understanding mathematics problems. Malikussaleh Journal of Mathematics Learning (MJML), 2(2). https://doi.org/10.29103/mjml.v2i2.1385 [Google Scholar] [Crossref]

98. Ukobizaba, F., Ndihokubwayo, K., & Uworwabayeho, A. (2020). Teachers’ Behaviours Towards Vital Interactions that Attract Students’ Interest to Learn Mathematics and Career Development. African Journal of Educational Studies in Mathematics and Sciences, 16(1), 85–93. [Google Scholar] [Crossref]

99. https://doi.org/10.4314/ajesms.v16i1.7 [Google Scholar] [Crossref]

100. Umac, N. L., Panara-Ag, D. S., & Yurango, C. P. (2025). The Relationship between Students’ Attitudes towards Mathematics and Academic Performance in the Subject. Asian Journal of Education and Social Studies, 51(8), 709–719. https://doi.org/10.9734/ajess/2025/v51i82271 [Google Scholar] [Crossref]

101. Vale, I., & Barbosa, A. (2023). Active learning strategies for an effective mathematics teaching and learning. European Journal of Science and Mathematics Education, 11(3), 573–588. [Google Scholar] [Crossref]

102. https://doi.org/10.30935/scimath/13135 [Google Scholar] [Crossref]

103. Vendiola, S. O. (2024). Students’ language learning preferences in taking in and presenting information to others. Journal of Interdisciplinary Perspectives, 2(7). https://doi.org/10.69569/jip.2024.0222 [Google Scholar] [Crossref]

104. Villegas-Ch, W., García-Ortiz, J., & Sánchez-Viteri, S. (2024). Personalization of learning: machine learning models for adapting educational content to individual learning styles. IEEE Access, 12, 121114–121130. https://doi.org/10.1109/access.2024.3452592 [Google Scholar] [Crossref]

105. Vu, T., Magis-Weinberg, L., Jansen, B. R. J., Van Atteveldt, N., Janssen, T. W. P., Lee, N. C., Van Der Maas, H. L. J., Raijmakers, M. E. J., Sachisthal, M. S. M., & Meeter, M. (2021). Motivation-Achievement Cycles in Learning: a Literature Review and Research Agenda. Educational Psychology Review, 34(1), 39–71. https://doi.org/10.1007/s10648-021-09616-7 [Google Scholar] [Crossref]

106. Wahab, I., & Nuraeni, N. (2020). The analysis of students’ learning style. Seltics Journal Scope of English Language Teaching Literature and Linguistics, 3(1), 41–46. [Google Scholar] [Crossref]

107. https://doi.org/10.46918/seltics.v3i1.509 [Google Scholar] [Crossref]

108. Wakhata, R., Mutarutinya, V., & Balimuttajjo, S. (2022). Secondary school students’ attitude towards mathematics word problems. Humanities and Social Sciences Communications, 9(1). [Google Scholar] [Crossref]

109. https://doi.org/10.1057/s41599-022-01449-1 [Google Scholar] [Crossref]

110. Weidinger, A. F., Spinath, B., & Steinmayr, R. (2020). The value of valuing math: Longitudinal links between students’ intrinsic, attainment, and utility values and grades in math. Motivation Science, 6(4), 413–422. https://doi.org/10.1037/mot0000179 [Google Scholar] [Crossref]

111. Wellberg, S. (2024). An examination of pre-service mathematics teachers’ course-taking, beliefs, and preferred assessment practices. Journal of Mathematics Teacher Education. [Google Scholar] [Crossref]

112. https://doi.org/10.1007/s10857-024-09640-8 [Google Scholar] [Crossref]

113. Wen, R., & Dubé, A. K. (2022). A systematic review of secondary students’ attitudes towards mathematics and its relations with mathematics achievement. Journal of Numerical Cognition, 8(2), 295–325. https://doi.org/10.5964/jnc.7937 [Google Scholar] [Crossref]

114. Yarkwah, C., Kpotosu, C. K., & Gbormittah, D. (2024). Effect of test anxiety on students’ academic performance in mathematics at the senior high school level. Discover Education, 3(1). https://doi.org/10.1007/s44217-024-00343-z [Google Scholar] [Crossref]

115. Yi, L., Ying, Z., & Wijaya, T. T. (2019). The trend of mathematics teaching method has change from fragments to systematics. Jurnal Cendekia Jurnal Pendidikan Matematika, 3(2), 471–480. [Google Scholar] [Crossref]

116. https://doi.org/10.31004/cendekia.v3i2.137 [Google Scholar] [Crossref]

117. Zakariya, Y. F. (2022). Improving students’ mathematics self-efficacy: A systematic review of intervention studies. Frontiers in Psychology, 13, 986622. https://doi.org/10.3389/fpsyg.2022.986622 [Google Scholar] [Crossref]

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