Filipino Students’ Perceptions of Factors Affecting Their Academic Performance in School: A Qualitative Study
Keywords:
education, learning styles, qualitative single case study, Social Cognitive Learning Theory, academic performanceAbstract
Most of what students learn is acquired in school. However, some pupils encounter learning difficulties
which are not properly addressed by the teachers. This study aims to identify and examine the factors
affecting the academic performance of ten (10) Grade Five pupils in Leyte Normal University-Integrated
Laboratory School. The study used qualitative single-case study design, and participants were selected
through purposive sampling. The top five (5) pupils in the high performing group and five (5) pupils
in the low performing group were selected in that process. Data was collected using semi-structured
interviews and direct observation of the participants. As a result, six major themes were derived from
the findings after data analysis was conducted, namely: Self-Driven Activities in Learning, Challenges
in Learning, Styles in Learning, References used in Learning, Scaffolds in Learning and Coping
Mechanisms in Learning. This study could provide ways and awareness to all stakeholders in education
on how to improve pupils’ academic performance in school.
References
Bandura, A. (1989). Human agency in social cognitive theory. American psychologist, 44(9), 1175.
Battle, J., & Lewis, M. (2002). The increasing significance of class: The relative effects of race and socioeconomic status on academic achievement. Journal of poverty, 6(2), 21-35.
Baxter, P., & Jack, S. (2008). Qualitative case study methodology: Study design and implementation for novice researchers. The qualitative report, 13(4), 544-559.
Buchanan, L. K. (1992). A comparative study of learning styles and math attitudes of remedial and college level math students (Doctoral dissertation, Texas Tech University).
Clark, M. C. (1993). Transformational learning. New Directions for Adult and Continuing Education, 1993(57), 47-56.
Cooper, H. (1989). Synthesis of research on homework. Educational leadership, 47(3), 85-91.
Dee, T. S., & Jacob, B. (2011). The impact of No Child Left Behind on student achievement. Journal of Policy Analysis and Management, 30(3), 418-446.
Demirbas, O. O., & Demirkan, H. (2007). Learning styles of design students and the relationship of academic performance and gender in design education. Learning and Instruction, 17(3), 345-359.
Dunn, R., Honigsfeld, A., Doolan, L. S., Bostrom, L., Russo, K., Schiering, M. S., & Tenedero, H. (2009). Impact of learning-style instructional strategies on students’ achievement and attitudes: Perceptions of educators in diverse institutions. The Clearing House: A Journal of Educational Strategies, Issues and Ideas, 82(3), 135-140.
Farooq, M., Bramley, H., Palta, J. A., & Siddique, K. H. (2011). Heat stress in wheat during reproductive and grain-filling phases. Critical Reviews in Plant Sciences, 30(6), 491-507.
Felder, R. M., & Brent, R. (2005). Understanding student differences. Journal of Engineering Education,
(1), 57-72.
Fleming, N., & Baume, D. (2006). Learning Styles Again: VARKing up the right tree! Educational Developments, 7(4), 4.
Frufonga, R., & Parian, M. A. (2016). Economic and Social Deficiency: Their Influence on Students’ Academic Performance. Journal of Progressive Research in Social Sciences, 3(2), 198-206.
Ganyaupfu, E. M. (2013). Factors influencing academic achievement in quantitative courses among business students of private higher education institutions. Journal of Education and Practice, 4(15), 57-65.
Goddard, R. D. (2003). Relational networks, social trust, and norms: A social capital perspective on students’ chances of academic success. Educational Evaluation and Policy Analysis, 25(1), 59-74.
Goodenow, C. (1993). Classroom belonging among early adolescent students: Relationships to motivation and achievement. The Journal of Early Adolescence, 13(1), 21-43.
Goos, M. (1999). Scaffolds for learning: A sociocultural approach to reforming mathematics teaching and teacher education. Mathematics Teacher Education and Development, 1(4), 21.
JilardiDamavandi, A., Mahyuddin, R., Elias, H., Daud, S. M., & Shabani, J. (2011). Academic achievement of students with different learning styles. International Journal of Psychological s tudies, 3(2), 186.
Katsioloudis, P., & Fantz, T. D. (2012). A comparative analysis of preferred learning and teaching styles for engineering, industrial, and technology education students and faculty. Journal of Technology Education, 23(2), 61-69.
Kaya, F., ÖZABACI, N., & Tezel, Ö. (2009). Investigating primary school second grade students’ learning styles according to the Kolb learning style model in terms of demographic variables. Journal of Turkish Science Education, 6(1), 13-27.
Midgley, C., Feldlaufer, H., & Eccles, J. S. (1989). Change in teacher efficacy and student self- and task-related beliefs in mathematics during the transition to junior high school. Journal of educational Psychology, 81(2), 247.
Mushtaq, I., & Khan, S. N. (2012). Factors Affecting Students’ Academic Performance. Global Journal of Management and Business Research, 12(9), 17-22.
Nsa, S. O., Ikot, A. S., & Udo, M. F. (2013). Instructional materials utilization and students’ performance in practical agriculture. Journal of Educational Research and Reviews, 1(4), 49-54.
Ogunsola, O. T., Song, L., & Wang, G. (2014). Development and validation of a time-series model for real-time thermal load estimation. Energy and buildings, 76, 440-449.
Pashler, H., Cepeda, N., Lindsey, R. V., Vul, E., & Mozer, M. C. (2009). Predicting the optimal spacing of study: A multiscale context model of memory. In Advances in neural information processing systems (pp. 1321-1329). La Jolla, CA: NIPS Foundation.
Pearlin, L. I., & Schooler, C. (1978). The structure of coping. Journal of Health and Social Behavior 9(1), 2-21.
Phelan, P., Davidson, A. L., & Cao, H. T. (1991). Students’ multiple worlds: Negotiating the boundaries of family, peer, and school cultures. Anthropology & Education Quarterly, 22(3), 224-250.
Richards, L., & Morse, J. M. (2012). Readme first for a user’s guide to qualitative methods. Thousand Oaks, London, New Delhi: Sage.
Schneider, M. (2002). Do School Facilities Affect Academic Outcomes? Washington, DC: ERIC.
Selamat, J., Ismail, K. H., Ahmad, A., & ArpahNoordin, S. (2013). Self-driven co-curricular activities: A subtle way to enhance students’ soft skills. World Applied Sciences Journal, 22(2), 287-291.
Siemens, G. (2005). Learning development cycle: Bridging learning design and modern knowledge needs. Elearnspace Everything Elearning, 48(9), 800-809.
Silliman, E. R., Bahr, R., Beasman, J., & Wilkinson, L. C. (2000). Scaffolds for learning to read in an inclusion classroom. Language, Speech, and Hearing Services in Schools, 31(3), 265-279.
Singh, S. P., Malik, S., & Singh, P. (2016). Research paper factors affecting academic performance of students. Indian Journal of Research, 5(4), 176-178.
Skinner, E. A., Pitzer, J. R., & Steele, J. S. (2016). Can student engagement serve as a motivational resource for academic coping, persistence, and learning during late elementary and early middle school? Developmental Psychology, 52(12), 2099.
Starman, A. B. (2013). The case study as a type of qualitative research. Journal of Contemporary Educational Studies/Sodobna Pedagogika, 64(1).
Vishnevsky, T., & Beanlands, H. (2004). Qualitative research. Nephrology Nursing Journal, 31(2), 234.
Walberg, H. J., & Ling Tsai, S. (1985). Correlates of reading achievement and attitude: A national assessment study. The Journal of Educational Research, 78(3), 159-167.
Wa-Mbaleka, S. (2018). Writing your thesis and dissertation qualitatively: Fear No More. Silang, Cavite: Oikos Biblios Publishing House.
Wenglinsky, H. (2002). The link between teacher classroom practices and student academic performance. Education Policy Analysis Archives, 10(12), 1-30.
Wentzel, K. R. (1998). Social relationships and motivation in middle school: The role of parents, teachers, and peers. Journal of educational psychology, 90(2), 202.
Zin, N. A. M., Zaman, H. B., & Noah, S. A. M. (2002, December). Multimedia mathematics tutor: matching instruction to student’s learning styles. In International Conference on Computers in Education, 2002. Proceedings. (pp. 1433-1434).