Learning Strategies, Environment, and Mathematics Performance of the Students: A Regression Analysis
Julia B. Suala | Aj J. Lagarto | Jessa May H. Tico | Dave B. Echenique | Jomeo A. Sumalapao
Discipline: Education
Abstract:
This descriptive-correlational study examined the learning strategies, learning environment, and
mathematics performance of 102 randomly chosen first-year students from selected teacher education
programs at a state university in Negros Occidental. Using a validated 58-item questionnaire, data were
gathered to assess variables such as students’ visual, auditory, read/write, and kinesthetic (VARK) learning
strategies, alongside their adaptability to their learning environment. Statistical analyses included mean and
standard deviation calculations, with Independent Samples t-tests, One-Way ANOVA, and Pearson’s r for
normally distributed data, and Mann-Whitney U-test and Spearman’s rho for non-normally distributed data.
Multiple regression analysis was also employed to determine predictive relationships. Findings revealed
high levels of learning strategies, adaptability in the learning environment, and overall mathematics
performance among the students. Group comparisons showed significant differences in learning strategies
across visual, auditory, read/write, and kinesthetic modalities. In the learning environment, adaptability, no
significant difference was observed by school of origin, while a significant difference was noted by program.
Mathematics performance showed no significant difference by school of origin but differed significantly by
program. Meanwhile, a moderate positive correlation was found between students’ learning strategies and
their mathematics performance, while a slight positive correlation was found between the learning
environment and mathematics performance. Importantly, students’ learning strategies statistically
significantly predicted their mathematics performance. This implies that the approach the students take to
learn has a significant impact on their mathematics outcomes. The study suggests that varied learning
strategies also provide varied results in their performance in mathematics, implying that this factor,
supported by the learning environment, plays a vital role in enhancing academic success in mathematics.
References:
- Abalde, G. D., & Oco, R. M. (2023). Factors associated with mathematics performance. Asian Research Journal of Mathematics, 19(6), 45–60. https://doi.org/10.9734/arjom/2023/v19i6665
- Abidin, M., Rezaee, A. A., Abdullah, H. N., & Singh, K. (2011). Learning styles and overall academic achievement in a specific educational system. International Journal of Humanities and Social Science, 1(10), 143-152. https://tinyurl.com/c7vf77v7
- Abubakar, R. B., Abdullah, A. G. K., & Aliyu, M. M. (2015). Influence of learning environment on academic performance of secondary school students in Malaysia. International Journal of Scientific and Research Publications, 5(9), 1–5.
- Adu, E. O., Pylman, N., & Adu, K. O. (2020). Learning styles as correlates of Grade 6 learner’s mathematics performance in Buffalo City Municipality in South Africa. e-Bangi, 17(5). https://tinyurl.com/49vyjuad
- Alojado, O., Paglomutan, P. M., Perez, L., Desusa, Z., Jampolina, M. J., Enguillo, R., & Siplao, M. C. J. (2023). Mathematics self-concept and learning factors in relation to academic performance. Psychology and Education: A Multidisciplinary Journal, 6(8). https://ejournals.ph/article.php?id=20523
- Al-Seghayer, K. (2021). Characteristics ofSsaudi EFL learners’ learning styles. English Language Teaching, 14(7), 82. https://doi.org/10.5539/elt.v14n7p82
- Aquino, P. (2019). The classroom environment and its effects on the students’ academic performance of the College of Teacher Education. International Journal of Advanced Research in Management and Social Sciences. https://tinyurl.com/ae2kx5js
- Bhandari, P. (2023). Correlational research | When & how to use. Scribbr. Retrieved from https://tinyurl.com/4cvrsm49
- Bhat, A. (2023). Descriptive research: Definition, characteristics, methods + examples. QuestionPro. Retrieved from https://tinyurl.com/46t6wtus
- Capuno, R., Necesario, R., Etcuban, J. O., Espina, R., Padillo, G., & Manguilimotan, R. (2019). Attitudes, study habits, and academic performance of junior high school students in mathematics. International Electronic Journal of Mathematics Education, 14(3), 547–561. https://doi.org/10.29333/iejme/5768
- Cleary, T. J., & Kitsantas, A. (2017). Motivation and self-regulated learning influences on middle school mathematics achievement. School Psychology Review, 46(1), 88–107. https://doi.org/10.17105/SPR46-1.88-107
- Dela Rosa, C., & Nicasio, M. (2021). Performance of the BEED second year students in the mathematics in the modern world. American Journal of Humanities and Social Sciences Research, 5(10), 191-196. https://tinyurl.ph/XposE
- Fleming, G. (2020). The auditory learning style. ThoughtCo. Retrieved from https://tinyurl.com/37d3r3xc
- Giordano, J. B. (2016). A quick introduction to college learning strategies. Pressbooks. Retrieved from https://tinyurl.ph/uHcUr
- Haataja, E., Tolvanen, A., Vilppu, H., Kallio, M., Peltonen, J., & Metsäpelto, R. (2023). Measuring higher-order cognitive skills with multiple choice questions: Potentials and pitfalls of Finnish teacher education entrance. Teaching and Teacher Education, 122, 103943. https://doi.org/10.1016/j.tate.2022.103943
- Hathella, H. V. R. G., & Priyanath, H. M. S. (2021). How demographic features and attitudes of students affect the mathematics performance of students? International Journal of Education Teaching and Social Sciences, 1(1), 28–47. https://doi.org/10.47747/ijets.v1i1.450
- Hendrix, E. (2019). How your surroundings affect the way you study. UCAS. Retrieved from https://tinyurl.ph/zTdAV
- Huang, M. C. L., Chou, C. Y., Wu, Y. T., Shih, J. L., Yeh, C. Y. C., Lao, A. C. C., Fong, H., Lin, Y. F., & Chan, T. W. (2020). Interest-driven video creation for learning mathematics. Journal of Computers in Education, 7(3), 395–433. https://doi.org/10.1007/s40692-020-00161-w
- Igwe, B. N., & Iweka, F. O. (2020). Learning styles as predictors of students’ mathematics achievement in Rivers State. Journal of Education in Developing Areas, 27(1), 341–355. https://journalsplace.org/index.php/JEDA/article/view/184
- Khanal, B. (2016). Learning strategies used by public and private school mathematics students of Nepal. IRA International Journal of Education and Multidisciplinary Studies, 5(2), 66–73. https://doi.org/10.21013/jems.v5.n2.p2
- Main, P. (2022). Teaching and learning strategies: A classroom guide. Structural Learning. Retrieved from https://tinyurl.com/jdeuhfwa
- Malmstrom, H. (2023). Cognitive learning theory: History, examples, & strategies. EdApp Microlearning. Retrieved from https://tinyurl.com/35hx35fa
- Matheas, S. B. (2017). Students’ conception of learning environment and their approach to learning and its implication on quality education. Educational Research and Reviews, 12(14), 695–703. https://doi.org/10.5897/ERR2017.3258
- Pendon, P. (2022). Self-efficacy and mathematics performance among college students: Basis for development of mathematics engagement training. Journal of Pharmaceutical Negative Results, 13(S01). https://doi.org/10.47750/pnr.2022.13.S01.203
- Rahmasari, T. P., Copriady, J., & Rery, R. U. (2023). Investigate students’ perception of learning environment through socioscientific inquiry-based learning (SSIBL) viewed from school origin and university entrance. AL-ISHLAH: Jurnal Pendidikan, 15(4), 4393–4402. https://doi.org/10.35445/alishlah.v15i4.3330
- Saqr, M., Matcha, W., Uzir, N. A., Jovanovic, J., Gaševic, D., & López-Pernas, S. (2023). Transferring effective learning strategies across learning contexts matters: A study in problem-based learning. Australasian Journal of Educational Technology, 39(3), 35–57. https://doi.org/10.14742/ajet.8303
- Shamaki, T.A. (2015). Influence of learning environment on students’ academic achievement in mathematics: A case study of some selected secondary schools in Yobe State, Nigeria. Journal of Education and Practice, 6, 40-44. https://tinyurl.ph/CXeKE
- She, C., Liang, Q., Jiang, W., & Xing, Q. (2023). Learning adaptability facilitates self-regulated learning at school: The chain mediating roles of academic motivation and self-management. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1162072
- Silangan, C. S., Mocsir, R. M., Regner, R. M., & Peteros, E. D. (2023). Predictive analysis on students’ academic performance in mathematics. Global Journal of Educational Studies, 9(1), 17–30. https://doi.org/10.5296/gjes.v9i1.21040
- Sirisilla, S., & Sirisilla, S. (2023). Bridging the gap: Overcome these 7 flaws in descriptive research design. Enago Academy. Retrieved from https://tinyurl.com/255nn66f
- Tomić, D., Rastovski, D., & Ćurić, M. (2023). Exploring the VARK model: A review of the validity and reliability of the questionnaire and its relationship to learning outcomes. Međunarodni znanstveni simpozij Gospodarstvo istočne Hrvatske – jučer, danas, sutra, 780–795. https://tinyurl.com/2hz5trju
- Veteska, J., Kursch, M., Svobodova, Z., Tureckiova, M., & Paulovcakova, L. (2020). Longitudinal co-teaching projects—Scoping review. International Association for the Development of the Information Society. https://eric.ed.gov/?id=ED626760
- Wanjohi, A. M. (2010). Child development theories. Kenpro. Retrieved from https://tinyurl.com/4dr4u9mp
- Wong, S. L., & Wong, S. L. (2019). Relationship between interest and mathematics performance in a technology-enhanced learning context in Malaysia. Research and Practice in Technology Enhanced Learning, 14(21), 1–13. https://doi.org/10.1186/s41039-019-0114-3
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