SECONDARY STUDENTS’ PROFILE AND SCHOLASTIC PERFORMANCE DURING COVID-19: THE CASE OF A LABORATORY SCHOOL IN THE PHILIPPINES
Abstract
Students' performance in the classroom can be viewed as vital since an aptitude for learning and intelligence can pave the way for their future success in both the workplace and the economy. This study examined the secondary students' profile and scholastic performance during the COVID-19 pandemic at a laboratory school in Eastern Visayas, Philippines. It utilized the quantitative approach to ascertain the variation among the specified study variables involving 620 secondary students from different grade levels. Secondary data on students' profile variables and scholastic performance were obtained from the school's Learner Information System (LIS). The T-test for two independent samples was likewise utilized to examine the significant difference in the performance of male and female students according to grade levels. Based on the results, majority of the students used mobile data and broadband as means to access the internet. Moreover, the online and blended learning were the student's preferred learning modalities. However, the inadequacy of gadgets available, insufficient load, intermittent mobile or internet access, existing health conditions, difficulty in self-regulated learning, conflict with other activities, and high electrical consumption and distractions were among the challenges students faced during the pandemic. Meanwhile, the students displayed very satisfactory to outstanding scholastic performance amidst COVID-19. Likewise, the study found no significant performance difference between male and female students in grades 8 and 12, in contrast to other grade levels. Therefore, creating flexible and responsive teaching practices in the current and post-pandemic educational environment and the enhancement of internet connectivity is recommended.
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Alebaikan, R., & Troudi, S. (2010). Blended learning in Saudi universities: Challenges and perspectives. ALT-J Research in Learning Technology, 18(1), 49-59. https://doi.org/10.1080/09687761003657614
Amir, L. R., Tanti, I., Maharani, D. A., Wimardhani, Y. S., Julia, V., Sulijaya, B., & Puspitawati, R. (2020). Student perspective of classroom and distance learning during COVID-19 pandemic in the undergraduate dental study program Universitas Indonesia. BMC Medical Education, 20(1), 1-8. https://doi.org/10.1186/s12909-020-02312-0
Ahshan, R. (2021). A framework of implementing strategies for active student engagement in remote/online teaching and learning during the COVID-19 pandemic. Education Sciences, 11(9), 483.
Assari S. (2019). Parental educational attainment and academic performance of american college students: Blacks' diminished returns. Journal of Health Economics and Development, 1(1), 21–31.
Bagarić, B., & Jokić-Begić, N. (2022). Fear of becoming infected and fear of doing the wrong thing–cross-cultural adaptation and further validation of the multidimensional assessment of covid-19-related fears (MAC-RF). Clinical Psychology in Europe, 4(1), 1-18. https://doi.org/10.32872/cpe.6137
Barrot, J. S., Llenares, I. I. & del Rosario, L. S. (2021). Students’ online learning challenges during the pandemic and how they cope with them: The case of the Philippines. Educ Inf Technol, 26, 7321–7338. https://doi.org/10.1007/s10639-021-10589-x
Briones, S. k. F., Dagamac, R. J. R., David, J. D., & Landerio C. A. B. (2021). Factors affecting the students’ scholastic performance: a survey study. Indonesian Journal of Educational Research and Technology, 2(1), 97-102. https://doi.org/10.17509/ijert.v2i2.41394
Cabuquin, J. C. (2022a). Examining multiple intelligences and performance of science, technology, engineering, and mathematics (stem) students in the specialized subjects. European Journal of Education and Pedagogy, 3(5), 55–60. https://doi.org/10.24018/ejedu.2022.3.5.426
Cabuquin, J. C. (2022b). Modular and online learning satisfaction in mathematics amid covid-19: implications for new normal teaching practices. American Journal of Multidisciplinary Research and Innovation, 1(6), 30–40. https://doi.org/10.54536/ajmri.v1i6.954
Cleofas, J.V., & Rocha, I. C. N. (2021). Demographic, gadget, and internet profiles as determinants of disease and consequence related COVID-19 anxiety among Filipino college students. Education and Information Technologies, 26, 6771–6786. https://doi.org/10.1007/s10639-021-10529-9
Cuñado, A. G., & Abocejo, F. T. (2018). Lesson planning competency of English major university sophomore students. European Journal of Education Studies, 5(8), 395-409. https://doi.org/10.5281/zenodo.2538422
Cullinan, J., Flannery, D., Harold, J., Lyons, S., & Palcic, D. (2021). The disconnected: COVID-19 and disparities in access to quality broadband for higher education students. Int J Educ Technol High Educ, 18(26), 1-21. https://doi.org/10.1186/s41239-021-00262-1
Dridi, M. A., Radhakrishnan, D., Moser-Mercer, B., & DeBoer, J. (2020). Challenges of blended learning in refugee camps: when internet connectivity fails, human connection succeeds. The International Review of Research in Open and Distributed Learning, 21(3), 250-263. https://doi.org/10.19173/irrodl.v21i3.4770
Estira, K. L. (2020). Online distance learning readiness of business administration students in one state university in the Philippines. Journal of Critical Reviews, 7(12), 826-832. https://doi.org/10.31838/jcr.07.12.14
Fabito, B.S., Trillanes, A.O., & Sarmiento, J.R. (2021). Barriers and challenges of computing students in an online learning environment: Insights from one private university in the Philippines. International Journal of Computing Sciences Research, 5(1), 441- 458. https://doi.org/10.2514/ijcsr.2017.001.1.51
Fast, O., Semenog, O., Vovk, M., Buhaichuk, N., & Golya, G. (2022). Examining the practices and challenges of distance education of phd candidates in the context of covid-19. Journal of Learning for Development, 9(1), 73-88.https://doi.org/10.56059/jl4d.v9i1.581
Haller, T. & Novita, S. (2021). Parents’ perceptions of school support during covid-19: What satisfies parents? Frontiers in Education. https://doi.org/10.3389/feduc.2021.700441
Haser, Ç., Doğan, O., & Erhan, G. K. (2022). Tracing students’ mathematics learning loss during school closures in teachers’ self-reported practices. International Journal of Educational Development, 88, 102536. https://doi.org/10.1016/j.ijedudev.2021.102536
Hornby, G., & Blackwell, I. (2018). Barriers to parental involvement in education: an update. Educational Review, 70(1), 109–119. https://doi.org/10.1080/00131911.2018.1388612
Ignacio, A. E. (2021). Online classes and learning in the philippines during the covid-19 pandemic. International Journal on Integrated Education, 4(3), 1-6. https://doi.org/10.31149/ijie.v4i3.1301
Iradel, C. M., Cadosales, M. N. Q., & Perez, N. (2021). Lived experience of teaching interns during the COVID-19 Pandemic. Journal of Research, Policy & Practice of Teachers and Teacher Education, 11(2), 74-87. https://doi.org/10.37134/jrpptte.vol11.2.6.2021
Jolejole-Caube, C., Dumlao, A. B., Abocejo, F. T. (2019). Anxiety towards mathematics and mathematics performance of grade 7 learners. European Journal of Education Studies, 6(1), 344-360. https://doi.org/10.5281/zenodo.2694050
Kalil, A., Ryan, R., & Corey, M. (2012). Diverging destinies: Maternal education and the developmental gradient in time with children. Demography, 49(4), 1361–1383. https://doi.org/10.1007/s13524-012-0129-5
Kassab, S. E., Al-Shafei, A. I., Salem, A. H., & Otoom, S. (2015). Relationships between the quality of blended learning experience, self-regulated learning, and academic achievement of medical students: a path analysis. Advances in medical education and practice, 6, 27–34. https://doi.org/10.2147/AMEP.S75830
Kemp, N., & Grieve R. (2014). Face-to-face or face-to-screen? Undergraduates' opinions and test performance in classroom vs. online learning. Frontiers in Psychology, 5, 1-11. https://doi.org/10.3389/fpsyg.2014.01278
Kintu, M.J., Zhu, C., & Kagambe, E. (2017). Blended learning effectiveness: the relationship between student characteristics, design features and outcomes. Int J Educ Technol High Educ, 14(7), 1-20. https://doi.org/10.1186/s41239-017-0043-4
Leech, N., Gullett, S., Howland Cummings, M., & Haug, C. (2022). The challenges of remote k–12 education during the covid-19 pandemic: Differences by grade level. Online Learning Journal, 26(1), 245-267. https://doi.org/10.24059/olj.v26i1.2609
Levin, S., Whitsett, D., & Wood, G. (2013). Teaching MSW social work practice in a blended online learning environment. Journal of Teaching in Social Work, 33, 408-420. https://doi.org/10.1080/08841233.2013.829168
Lotrecchiano, G. R., McDonald, P. L., Lyons, L., Long, T., & Zajicek-Farber, M. (2013). Blended learning: Strengths, challenges, and lessons learned in an interprofessional training program. Matern Child Health Journal, 17, 1725-1734. https://doi.org/10.1007/s10995-012-1175-8
Masud, S., Mufarrih, S. H., Qureshi, N. Q., Khan, F., Khan S., & Khan, M. N. (2019). Academic performance in adolescent students: The role of parenting styles and socio-demographic factors – A cross-sectional study from Peshawar, Pakistan. Frontiers in Psychology, 10, 1-12. https://doi.org/10.3389/fpsyg.2019.02497
Mathera, M., & Sarkans, A. (2018). Student perceptions of online and face-to-face learning. International Journal of Curriculum and Instruction, 10(2), 61–76.
Mingoa, J. I., & Abocejo, F. T. (2021). Science performance and scholastic aptitude of grade 9 learners. European Journal of Education Studies, 8(3), 342-358. https://doi.org/10.46827/ejes.v8i3.3660
Nyanamba, J. M., Liew, J., & Li, D. (2021). Parental burnout and remote learning at home during the covid-19 pandemic: Parents’ motivations for involvement. School Psychology, 37(2), 160–172. https://doi.org/10.1037/spq0000483
Obiedat, R., Nasir Eddeen, L., Harfoushi, O., AL-Hamarsheh, M., Koury, A., & Alassaf, N. (2014). Effect of blended-learning on academic achievement of students in the university of jordan. International Journal of Emerging Technologies in Learning, 9(2) 37-44. http://doi.org/10.3991/ijet.v9i2.3220
Panagouli, E., Stavridou, A., Savvidi, C., Kourti, A., Psaltopoulou, T., Sergentanis, T.N., Tsitsika, A. (2021). School performance among Children and adolescents during covid-19 pandemic: A systematic review. Children, 8, 1-12. https://doi.org/10.3390/children8121134
Pek, L.S., & Mee Mee R. W. (2020). Parental involvement on child’s education at home during school lockdown. Journal of Humanities and Social Studies, 4(2), 192-196. https://journal.unpak.ac.id/index.php/jhss/article/view/2502
Seage, S.J., & Türegün, M. (2020). The effects of blended learning on stem achievement of elementary school students. International Journal of Research in Education and Science, 6(1), 133-140. https://doi.org/10.46328/ijres.v6i1.728
Wang, F., Zhang, L., Ding, L., Wang, L., & Deng, Y. (2022). Fear of covid-19 among college students: a systematic review and meta-analysis. Frontiers in public health, 10, 846894. https://doi.org/10.3389/fpubh.2022.846894
Yra, J. F. P., Castillo, R. H., Bautista, R. G., Camayang, J. G., & Camayang, A. G. G. (2020). Students’ online learning readiness and internet connectivity: Bases for the customization of QSU e-Aral. American Journal of Educational Research, 8(11), 878-894. https://doi.org/10.12691/education-8-11-8
Zheng, M., Bender, D. & Lyon, C. (2021). Online learning during covid-19 produced equivalent or better student course performance as compared with pre-pandemic: Empirical evidence from a school-wide comparative study. BMC Med Educ 21, 495. https://doi.org/10.1186/s12909-021-02909-z
DOI: https://doi.org/10.17509/ije.v16i2.51379
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