Predicting Academic Performance in Mathematics through Online Learning Constructs and Content Proficiencies
Keith A Madrilejos
Discipline: Psychology
Abstract:
This study explores the evaluation of online distance learning as a significant alternative to
traditional education, specifically focusing on its application in Grade 11 mathematics education. The
research, conducted in six public senior high schools in Quezon City District IV, employs a descriptivecorrelational design and involves 873 Grade 11 students attending online classes. Constructs of online
learning, including motivation, access and use of technology, perception, self-directed learning, and online
teaching approaches, were examined to understand their impact on mathematics academic performance.
The findings revealed that students strongly embraced self-directed learning in the online environment,
demonstrating high motivation. Positive feedback was observed towards technology use, online teaching
approaches, and the overall perception of online learning. Academic performance was generally
satisfactory, with diverse achievements in content-based competencies like Functions and Their Graphs,
Mathematics of Investment, and Math Logic. Significant low positive relationships were identified
between mathematics academic performance and online learning constructs, as well as content-based
competencies. Key predictors of mathematics academic performance included motivation, technology
access and use, and online teaching approaches. However, the perception of online learning and selfdirected learning did not significantly predict academic performance. These findings contribute to a
multiple linear regression model explaining 24% of the variance, highlighting the need to optimize online
learning for enhanced mathematics academic performance. Recommendations include students enhancing
technology skills and self-directed learning, considering specialized mathematics classes, teachers
intensifying instruction in crucial areas, and the Department of Education sustaining the Open High
School program while simplifying essential learning competencies in General Mathematics. Future
research should explore additional online learning factors for a comprehensive understanding of the
subject.
References:
- Abordo, J. (2023). Do you Likert? Inferences on Likert data. TLRC University of the Philippines Cebu [YouTube channel]. https://www.youtube.com/watch?v=1BwfQbyLUrM&t=4473s
- Adamson, Katie & Prion, Susan. (2013). Reliability: Measuring Internal Consistency Using Cronbach's α. Clinical Simulation in Nursing. 9. pp.179-180
- Aumentado, S.F. (2021). Technological Factors and Academic Performance of Grade 9 High School Students in Mathematics. International Journal of Innovative Science and Research Technology. Volume 6 - 2021, Issue 1 – January, pp. 56-94
- Azami M, Sharifi H, Alvandpur S. Evaluating the relationship between information literacy and evidence-based nursing and their impact on knowledge and attitude of nurses working in hospitals affiliated to Kerman University of Medical Sciences on medication errors. J Family Med Prim Care;9(8): pp. 4097-4106. doi: 10.4103/jfmpc.jfmpc_5_20. PMID: 33110816; PMCID: PMC7586513.
- Bączek, M., Zagańczyk-Bączek, M., Szpringer, M., Jaroszyński, A., & Wożakowska-Kapłon, B. (2021). Students’ perception of online learning during the COVID-19 pandemic. Medicine: Volume 100 - Issue 7 – page 24821
- Cabansag, V., Soriano, R., & Cabansag, P. (2022). Student's Motivation toward Online Learning: Basis for Policy Making. The ASTR Research Journal, Volume 4 Issue 1, pp. 1-1
- Callaman, R. & Itaas, E. (2020). Students’ mathematics achievement in Mindanao context: A meta-analysis. JRAMathEdu (Journal of Research and Advances in Mathematics Education). 5. pp.148-159.
- Calmorin, L. P. (2004). Making an Item Analysis. Measurement and Evaluation (3rd Ed.), National Bookstore, pp. 130-132
- Capinding, A.T. (2021). Mathematics Learning of High School Students and the Determinants of their Performance in the Midst of Pandemic. Turkish Journal of Computer and Mathematics Education, Vol.12 No.12 (2021), pp. 2995-3014
- Charlesworth Author Services. (2017). Ethical considerations in scientific and scholarly publishing. https://www.cwauthors.com/article/ethical-considerations-ins-scientific-and-scholarly-publishing
- Chiang, I., Price, P., & Jhangiani, J. (2020). Complex Correlational Designs. Research Methods in Psychology – 2nd Edition, Open Educational Resources, page 163
- Creswell, J. W. (2009). Research design: Qualitative, Quantitative, and Mixed Methods Approach. SAGE.
- Del Rosario, A., & Medina, M. (2022). Online Collaborative Learning and the Enhancement of Most Essential Learning Competencies in General Mathematics among Grade Eleven Senior High School Students. International Journal of Scientific and Management Research. Volume 5. DOI: http://doi.org/10.37502/IJSMR.2022.5306
- Department of Education. (2020, June 19). The Basic Education Learning Continuity Plan (BE-LCP) in the Time of COVID-19. (DepEd Order No.012, s.2020)
- Espinola, J.C. (2021). Correlation and Regression Analysis. Webinar on Basic Statistical Data Analysis. STAR Training Center.
- Eze, S.C., Chinedu-Eze, V.C.A., & Okike, C.K. (2020). Factors influencing the use of e-learning facilities by students in a private Higher Education Institution (HEI) in a developing economy. Humanit Soc Sci Commun 7, Page 133.
- Fulgencio, L., Baldado, K., Enriquez, C., Santos, A., Plaza, F., & Tus, J. (2021). Amidst the Online Learning in the Philippines: The Self-Efficacy and Academic Motivation of the Senior High School Students from Private Schools. International Journal of Advance Research and Innovative Ideas In Education. Page 7.
- García, M., Hossein-Mohand, H., Trujillo-Torres, J. M., Hossein-Mohand, H., & Aznar-Díaz, I. (2020). Technological Factors That Influence the Mathematics Performance of Secondary School Students. Mathematics, 8(11), 1935. https://doi.org/10.3390/math8111935
- Gopal, R., Gopal, S., Varsha, A., & Arun, D. (2021). Impact of online classes on the satisfaction and performance of students during the pandemic period of COVID-19. Education and Information Technologies. Volume 26. Page 10.
- Harefa, S. & Sihombing, G. (2022). Students’ perception of online learning amidst the Covid-19 pandemic: A study of junior, senior high school and college students in a remote area. European PMC. doi: 10.12688/f1000research.52152.1.
- Hermosisima, M. C. R., Mobo, F. D., & Cutillas, A. L. (2023). Enhanced Learning Continuity Framework Using Online Teaching as Alternative Delivery Modality. International Journal of Multidisciplinary: Applied Business and Education Research, 4(5), 1521-1534. https://doi.org/10.11594/ijmaber.04.05.14
- Herrera, M. (2019). Factors Affecting the Academic Performance of Grade 11 Students in General Mathematics. doi:10.13140/RG.2.2.16645.68325
- Hua M, Wang L & Li J (2024). The impact of self-directed learning experience and course experience on learning satisfaction of university students in blended learning environments: the mediating role of deep and surface learning approach. Front. Psychol. 14:1278827. doi:10.3389/fpsyg.2023.1278827
- Jaudinez, A. (2019). Teaching Senior High School Mathematics: Problems and Interventions. Pedagogical Research, 4(2), em0031. https://doi.org/10.29333/pr/5779
- Kidane, H.H., Roebertsen, H. & Van der Vleuten, C.P.M. (2020). Students’ perceptions towards self-directed learning in Ethiopian medical schools with new innovative curriculum: a mixed-method study. BMC Med Educ 20, 7.
- Maheshwari, G. (2021). Factors affecting students’ intentions to undertake online learning: An Empirical Study in Vietnam. Education and Information Technologies. 10.1007
- Mamolo, L.A. (2022). Online Learning and Students’ Mathematics Motivation, Self-Efficacy, and Anxiety in the “New Normal”, Education Research International, vol. 2022, Article ID 9439634, page 10.
- Mamolo, L.A., & Sugano, S.C. (2020). Self-Perceived and Actual Competencies of Senior High School Students in General Mathematics, Cogent Education, Volume 1, page 7.
- Mananghaya, A. K. (2020). It's Not Complicated: Analysis of Data from A Single, Two, or More Populations. University of the Philippines Los Baños, Institute of Statistics. Webinar Title: One-STAT at a time Session 1. YouTube. https://www.youtube.com/watch?v=eoafxBJdfa4&t=1499s
- Mansor, A., Basar, M.Z., Jamaludin, K., & Alias, B. (2021). The Effectiveness and Challenges of Online Learning for Secondary School Students – A Case Study. Asian Journal of University Education, 17(3), pp.119-129.
- Nord Anglia Education (2021). The Importance of Online Learning to Students and Teachers. https://www.nordangliaeducation.com/news/2021/03/17/the-importance-of-online-learning-to-students-and-teachers
- Noor, S., Isa, F. Md., & Mazhar, F. F. (2020). Online Teaching Practices During the COVID-19 Pandemic. Educational Process: International Journal, 9(3), pp.169-184
- Ozer, O. & Badem, N. (2022). Student motivation and academic achievement in online EFL classes at the tertiary level. LEARN Journal: Language Education and Acquisition Research Network, 15(1), 361-382.
- Pagaran, G. M., Loremas, M. L., Gultiano, J. D., & Etcuban, J. O. (2022). Mathematics Performance Of Senior High School Students In Blended Learning Amidst The Covid-19 Pandemic. Journal of Positive School Psychology, 6(6), pp. 10593-10613.
- Pepito, M. & Acledan, M. (2022). Influence of Digital Literacy and Self-Directed Learning in the Online Learning Success of STEM College Students. International Journal of Humanities, Social Sciences and Education. 9. pp. 88-100. 10.20431/2349-0381.0901007.
- Philippine Association of Researchers and Statistical Software Users (PARSSU). (2023). Beyond Regression Analysis: From Path Analysis to Confirmatory Factor Analysis and Covariance-Based Structural Equation Modeling using SPSS AMOS, Session 2. Presented by Prof. Johnny T. Amora.
- Pinar, F.I. (2021). Grade 12 Students' Perceptions of Distance Learning in General Chemistry Subject: An Evidence from the Philippines. International Journal of Theory and Application in Elementary and Secondary School Education. 3. pp. 44-61.
- Purwadi, W., Wahyudi, A., Supriyanto, A., Muyana, S., Rohmadheny, P.S, Ariyanto, R.D, & Kurniawan, S.J. (2021). Student Perceptions of Online Learning During the Covid-19 Pandemic in Indonesia: A Study of Phenomenology. European J Ed Res. 2021;10(3): pp. 1515-1528.
- Rahayu, W., Putra, M.D.K., Faturochman et al. Development and validation of Online Classroom Learning Environment Inventory (OCLEI): The case of Indonesia during the COVID-19 pandemic. (2022). LearningEnvironRes 25, pp. 97–113.
- Rawashdeh, A., Youssef, E., Alarab, A., Alarab, M., & Al-Rawashdeh, B. (2021). Advantages and Disadvantages of Using e-Learning in University Education: Analyzing Students’ Perspectives. Electronic Journal of e-Learning. Volume 19. pp. 107-117.
- Refugio, C. N., Bulado, M. I. E. A., Galleto, P. G., Dimalig, C. Y., Colina, D. G., Inoferio, H. V., & Nocete, M. L. R. (2020). Difficulties in teaching senior high school General Mathematics: Basis for training design. Cypriot Journal of Educational Sciences, 15(2), pp. 319–335.
- SAGE Research Methods. (2018). Table of specifications for standardized tests.
- Sharma, K., Deo, G., Timalsina, S., Joshi, A., Shrestha, N. & Neupane, H. (2020). Online Learning in the Face of COVID-19 Pandemic: Assessment of Students’ Satisfaction at Chitwan Medical College of Nepal. Kathmandu University Medical Journal. 18. 38-45.
- Sulaiman, N. A., Shaid, N. A. N., & Kamaruzaman, F. M. (2021). Content Validity and Reliability of Questionnaire on Students’ Perception Towards Online Learning During Covid-19 Pandemic. International Journal of Academic Research in Business and Social Sciences, 11(7), pp. 519–528
- Sun, W., Hong, JC., Dong, Y. et al. (2022). Self-directed Learning Predicts Online Learning Engagement in Higher Education Mediated by Perceived Value of Knowing Learning Goals. The Asia-Pacific Education Researcher, pp. 1-10
- Tan, D. & Cordova, C. (2018). Mathematics Proficiency, Attitude, and Performance of Grade 9 Students in Private High Schools in Bukidnon, Philippines. 5. pp.103-116.
- Pham, T., Hoang Anh, L., & Doan Trang, D. (2021). The Factors Affecting Students’ Online Learning Outcomes during the COVID-19 Pandemic: A Bayesian Exploratory Factor Analysis. Education Research International, vol. 2021, page 76
- Van Wart, M., Ni, A., Medina, P. et al. (2020). Integrating students’ perspectives about online learning: a hierarchy of factors. Int J Educ Technol High Educ 17, page 53.
- Yambot, J.L. (2020). University of the Philippines Los Baños, Institute of Statistics. Webinar Title: One-STAT at a Time Session 3. YouTube. https://www.youtube.com/watch?v=lM9Ztjwquww&t=5174s
- Yusoff, Muhamad S.B. (2019). ABC of Content Validation and Content Validity Index Calculation. Education in Medicine Journal. 11. pp. 49-54.
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