Readiness of Science, Technology, Engineering, and Mathematics (STEM) Students in Online Distance Learning Modality as Perceived by their Teachers and Its Correlation with Academic Performance
Riza Loyola-Tombaga
Discipline: Education
Abstract:
This study aimed to assess the level of preparedness in online distance learning of STEM students in
the Schools Division of Zambales. This study utilized a quantitative descriptive research design,
specifically a cross-sectional design. It was conducted in the thirteen (13) secondary schools – Senior
high schools offering STEM strand in the Schools Division of Zambales. A purposive sample of
Forty-four (44) senior high school science teachers in the Schools Division of Zambales
participated in the study. Data was gathered using a researcher-made close-ended questionnaire with
5-point and 4-point rating scales. The Pearson-r correlation was employed to determine the
significant correlation between the student's overall performance and perceived level of preparedness
in the three (3) domains: computer literacy competency, self-directed learning, and motivational
learning. Frequency count, percentage, and weighted mean were other descriptive statistical tools
used in the study. The study revealed that despite the challenges encountered during the Covid-19
pandemic, the STEM students performed excellently in their specialized subjects. It was also
revealed that the STEM students are prepared for online distance learning as they are computer
literacy competent they have a high level of self-directed and motivational learning. Finally, the study
revealed that STEM students’ overall performance correlates to their perceived readiness level in
online distance learning. This study proved that students who are computer literacy competent, with a
high level of self-directed and motivational learning, are high-performing.
References:
- Adams, D., Sumintono, B., & Mohamed, A. (2018). E-Learning Readiness Among Students Of Diverse Backgrounds In A Leading Malaysian Higher Education Institution. Malaysian Journal Of Learning And Instruction, 15(2), 227–256.
- Ahmad, A.A.I. (2011). Key Factors for Determining Students’ Satisfaction in Distance Learning Courses: A Study of Allama Iqbal Open University. Contemporary Educational Technology 2(2), 118-134. https://www.cedtech.net/download/key-factors- for-determining-student-satisfaction-in-distance-learning-courses-a-study-of-Allama- 6047.pdf
- Ajmal, M., & Ahmad, S. (2019). Exploration Of Anxiety Factors Among Students Of Distance Learning: A Case Study Of Allama Iqbal Open University. Bulletin Of Education and Research, 41(2), 67–78.
- Aquino, Anita (2002). Southern Luzon State University, Lucban Quezon on descriptive writing.
- Barak, M., Hussein-Farraj, R., & Dori, Y. J. (2016). On-Campus Or Online: Examining Self- Regulation And Cognitive Transfer Skills In Different Learning Settings. International Journal Of Educational Technology In Higher Education.
- Chen, A. E. W. & J. V. (2017). Online Learners' Motivation In Online Learning: The Effect Of Online-Online Learners ’ Motivation In Online Learning: The Effect Of Online - Participation, Social Presence, And Collaboration. E-Learning Journal, 23, 72–93.
- Cook, C.W., & Sonnenberg, C. (2014) Technology and Online Education: Models for Change. Contemporary Issues in Education Research, 7(3). https://www.clutejournals.com/index.php/CIER/article/download/8638/8635
- Deschacht, N., & Goeman, K. (2015). The Effect Of Blended Learning On Course Persistence And Performance Of Adult Learners: A Difference-In-Differences Analysis. Computers & Education, 87, 1–18.
- Doculan, J. A. D. (2016). E-L Earning R Eadiness A Ssessment T Ool F Or P Hilippine H Igher E DucationI Institutions. International Journal On Integrating Technology In Education, 5(2), 33–43.
- Foon, K., & Sum, W. (2014). Students’ And Instructors’ Use Of Massive Open Online Courses ( MOOCs): Motivations And Challenges. Educational Research Review, 12(June), 45–58.
- Garrison, D. R. (2007). Self-Directed Learning: Toward A Comprehensive Model. Adult Education Quarterly, 48(1), 18–33.
- Hernández-Sellés, N., & Muñoz-Carril, P. (2019). Computers & Education Computer-Supported Collaborative Learning: An Analysis Of The Relationship Between Interaction, Emotional Support, And Online Collaborative Tools. Computers & Education, 138(February), 1–12.
- Hung, M., Chou, C., Chen, C., & Own, Z. (2010). Computers & Education Learner Readiness For Online Learning: Scale Development And Student Perceptions. Computers & Education, 55(3), 1080– 1090.
- Hussin, S., Manap, M. R., Amir, Z., & Krish, P. (2017). Mobile Learning Readiness Among Malaysian Students At Higher Learning Institutes. Asian Social Science, 8(12), 276–283.
- Keis, O., Grab, C., Schneider, A., & Öchsner, W. (2017). Online Or Face-To-Face Instruction? A Qualitative Study on The Electrocardiogram Course At The University Of Ulm To Examine Why Students Choose A Particular Format. Medical Education Online, 17, 1–8.
- Kenny, Z. Z., & R. F. (2010). Learning In An Online Distance Education Course: Experiences Of Three International Students. International Review of Research In Open And Distance Learning, 11(1), 18–36.
- Kuo, Y., Walker, A. E., Schroder, K. E. E., & Belland, B. R. (2014). Internet And Higher Education Interaction, Internet Self-Efficacy, And Self-Regulated Learning As Predictors Of Student Satisfaction In Online Education Courses. The Internet and Higher Education, 20(1), 35–50.
- Manuel and Medel (2002) On Descriptive Writing. journals/assessment-effectiveness-internet-based-distance/docview/1634343518/se 2?accountid=200299
- Olaitan, B.S (2020). Challenges of Integrating Mobile Technologies into Teaching an Learning Process in Nigerian Primary Schools during COVID-19 Pandemic. Trailblazer International Journal of Educational Research,1(1). https://tijer.oyscoel.com/index.php/tijer/article/download/10/10
- Pukkaew, C. (2013). Assessment of the Effectiveness of Internet-Based Distance Learning through the VClass e-Education Platform. The International Review of Research in Open and Distance Learning, 14 (4), 255-276. HTTPS:// www.proquest.com/scholarly- journals/assessment-effectiveness-internet-based distance/docview/1634343518/se 2?accountid=201395
- Saadé, R. G., Kira, D., Mak, T., & Nebebe, F. (2017). Anxiety And Performance In Online Learning. Proceedings Of The Informing Science And Information Technology Education Conference, 147–157.
- Samir, A. El-S. (2016). Motivation In E-Learning: How Do We Keep Learners Motivated In An eLearning Environment? E-Learning and Digital Media, 12(2), 1–5.
- Suprabha, B. S., Shenoy, R., Rao, A., Rao, A., & Naik, D. G. (2017). Readiness And Utilization Of Computer-Assisted Learning Among Dental Students And Faculty. Dental Hypotheses, 8(4), 87–93.
- Thammathirat, S., & Tuntirojanawong, S. (2013). Students’ Readiness For E-Learning: A Case Study Of. Journal Of Learning In Higher Education, 9(1), 59–66.
- Tuncay, N. (2010). Anxiety And Resistance in Distance Learning. Cypriot Journal of Educational Sciences, 5, 142–150.
- Wallace, R. M. (2010). Online Learning In Higher Education: A Review Of Research On Interactions Among Teachers And Students Online Learning In Higher Education: A. Education, Communication & Information, 3(2), 37–41.
- Yang, J. C., Lin, M. Y. D., & Chen, S. Y. (2018). Effects Of Anxiety Levels on Learning Performance And Gaming Performance In Digital Game-Based Learning. Journal Of Computer Assisted Learning,11–11.