Students satisfaction, self-efficacy and achievement in an emergency online learning course

Jose Noel V. Fabia

doi:10.25304/rlt.v32.3179

Jose Noel V. Fabia School of Multidisciplinary Studies, De La Salle – College of Saint Benilde, Manila, Philippines https://orcid.org/0000-0001-6884-4646

DOI: https://doi.org/10.25304/rlt.v32.3179

Keywords: online learning, student satisfaction, self-efficacy, academic achievement, emergency education, mixed methods research

Abstract

This study aimed to evaluate the impact of an emergency online learning course on students’ satisfaction, self-efficacy and achievement. This study used a convergent mixed methods approach with an action research design to explore students’ experiences and outcomes in an emergency online science course. This study involved 25 voluntary participants from a private college in Manila, Philippines, who were enrolled in the Science, Technology and Society online course during the 2019–2020 academic year. Data were collected using a variety of instruments, including questionnaires, reflective journals and semi-structured interviews. The results showed that the developed emergency online learning course positively impacted students’ satisfaction, efficacy and achievement. Students were satisfied with their interactions with classmates and teachers and the course content. They also expressed confidence in their ability to perform online tasks independently and master the subject through pre-recorded videos. This study suggests that effective student-teacher interaction, peer relationships, relevant and relatable course content, well-designed lesson materials, clear assessment tasks, differentiated tasks to meet individual learning preferences and teacher creativity are essential factors for student satisfaction, efficacy and achievement in emergency online learning courses.

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References

Aderinoye, R. A., Ojokheta, K. O., & Olojede, A. A. (2007). Integrating mobile learning into nomadic education programme in Nigeria: Issues and perspectives. The International Review of Research in Open and Distributed Learning, 8(2), 1–17. https://doi.org/10.19173/irrodl.v8i2.347

Aimah, S., Ifadah, M., & Linggar Bharati, D. A. (2017). Building teacher’s pedagogical competence and teaching improvement through lesson study. Arab World English Journal (AWEJ), 8(1), 66–78. https://doi.org/10.2139/ssrn.2945891

Aldhahi, M. I. et al., (2021). Exploring the relationship between students’ learning satisfaction and self-efficacy during the emergency transition to remote learning amid the Coronavirus Pandemic: A cross-sectional study. Education and Information Technologies, 27, 1323–1340. https://doi.org/10.1007/s10639-021-10644-7

Al-Kumaim, N. H. et al., (2021). Exploring the impact of transformation to fully online learning during COVID-19 on Malaysian university students’ academic life and performance. International Journal of Interactive Mobile Technologies, 15(5), 140–158. https://doi.org/10.3991/ijim.v15i05.20203

Ali, A., & Ahmad, I. (2011). Key factors for determining student satisfaction in distance learning courses: A study of Allama Iqbal Open University. Contemporary Educational Technology, 2(2), 118–134. https://doi.org/10.30935/cedtech/6047

Alshare, K. A. et al. (2011). The impacts of system and human factors on online learning systems use and learner satisfaction. Decision Sciences Journal of Innovative Education, 9(3), 437–461. https://doi.org/10.1111/j.1540-4609.2011.00321.x

Anderson, T. (2003). Getting the mix right again: An updated theorectical rationale for interaction. International Review of research in Open and Distance Learning, 4(2), 1–14. https://doi.org/10.19173/irrodl.v4i2.149

Artino, A. R. (2007). Motivational beliefs and perceptions of instructional quality: Predicting satisfaction with online training. Journal of Computer Assisted Learning, 24(3), 260–270. https://doi.org/10.1111/j.1365-2729.2007.00258.x

Bączek, M. et al. (2020). Students’ perception of online learning during the COVID-19 Pandemic: A survey study of Polish medical students. Medicine, 100(7). https://doi.org/10.21203/rs.3.rs-41178/v1

Baloran, E. T., Hernan, J. T., & Taoy, J. S. (2021). Course satisfaction and student engagement in online learning amid COVID-19 Pandemic: A structural equation model. Turkish Online Journal of Distance Education, 22(4), 1–12. https://doi.org/10.17718/tojde.1002721

Baticulon, R. E. et al. (2021). Barriers to online learning in the time of COVID-19: A national survey of medical students in the Philippines. Medical Science Educator, 31, 615–626. https://doi.org/10.1007/s40670-021-01231-z

Belet, M. (2017). The importance of relevance to student lives: The impact of content and media in introduction to sociology. American Sociological Association, 46(3), 208–224. https://doi.org/10.1177/0092055x17730113

Briggs, R. O., & Murphy, J. D. (2009). Discovering and evaluating collaboration engineering opportunities: An interview protocol based on the value frequency model. Group Decision and Negotiation, 20, 315–346. https://doi.org/10.1007/s10726-009-9158-x

Callo, E., & Yazon, A. (2020). Exploring the factors influencing the readiness of faculty and students on online teaching and learning as an alternative delivery mode for the new normal. Universal Journal of Educational Research, 8(8), 3509–3518. https://doi.org/10.13189/ujer.2020.080826

Commission on Higher Education (2013). Science, technology and Society Preliminaries. 2013.

Danielsen, A. G., Breivik, K., & Wold, B. (2011). Do perceived academic competence and school satisfaction mediate the relationships between perceived support provided by teachers and classmates, and academic initiative? Scandinavian Journal of Educational Research, 55(4), 379–401. https://doi.org/10.1080/00313831.2011.587322

De Jong, T. (2009). Cognitive load theory, educational research, and instructional design: Some food for thought. Instructional Science, 38, 105–134. https://doi.org/10.1007/s11251-009-9110-0

Dhawan, S. (2020). Online learning: A panacea in the time of COVID-19 crisis. Journal of Educational Technology Systems, 49(1), 5–22. https://doi.org/10.1177/0047239520934018

Doménech-Betoret, F., Roselló, L. A., & Gómez-Artiga, A. (2017). Self-efficacy, satisfaction, and academic achievement: The mediator role of students’ expectancy-value beliefs. Frontiers in Psychology, 8, 1193. https://doi.org/10.3389/fpsyg.2017.01193

Fasso, W. (2013). First year distance transition pedagogy: Synchronous online classrooms. The International Journal of the First Year in Higher Education, 4(1), 33–45. https://doi.org/10.5204/intjfyhe.v4i1.141

Fetters, M. D. (2020). The Mixed Methods Research Workbook: Activities for Designing, Implementing, and Publishing Projects. SAGE Publications. https://books.google.com.ph/books?id=mG-lDwAAQBAJ

Gasson, S., & Waters, J. (2018). Simulating experiential learning in professional online courses. Acm Sigmis Database the Database for Advances in Information Systems, 49(4), 46–77. https://doi.org/10.1145/3290768.3290774

Head, M. L. et al. (2017). A quantitative method to determine pre-service chemistry teachers’ perceptions of chemical representations. Chemistry Education Research and Practice, 18, 825–840. https://doi.org/10.1039/c7rp00109f

Hecimovich, M., & Volet, S. (2011). Development of professional confidence in health education. Health Education, 111(3), 177–197. https://doi.org/10.1108/09654281111123475

Herrington, J., Reeves, T. C., & Oliver, R. (2006). Authentic tasks online: A synergy among learner, task, and technology. Distance Education, 27(2), 233–247. https://doi.org/10.1080/01587910600789639

Hesami, G., & Kheiri, S. (2013). The relationship between job satisfaction of Iranian English teachers and their students’ achievement. Studies in English Language Teaching, 1(2), 317–329. https://doi.org/10.22158/selt.v1n2p315

Hoban, G., & Sersland, C. (1999). Developing learning plans for adult learners – Can self-efficacy predict a readiness for self-directed learning to determine effective modes of instruction? Contemporary Ideas and Practices in Self-Directed Learning, 4, 49–61.

Horng, J. S. et al. (2005). Creative teachers and creative teaching strategies. International Journal of Consumer Studies, 29(4), 352–358. https://doi.org/10.1111/j.1470-6431.2005.00445.x

Huckstadt, A., & Hayes, K. S. (2005). Evaluation of interactive online courses for advanced practice nurses. Journal of the American Academy of Nurse Practitioners, 17(3), 85–89. https://doi.org/10.1111/j.1041-2972.2005.0015.x

Im, T., & Kang, M. (2019). Structural relationships of factors which impact on learner achievement in online learning environment. The International Review of Research in Open and Distributed Learning, 20(1), 111–124. https://doi.org/10.19173/irrodl.v20i1.4012

Jan, S. K. (2015). The relationships between academic self-efficacy, computer self-efficacy, prior experience, and satisfaction with online learning. American Journal of Distance Education, 29(1), 30–40. https://doi.org/10.1080/08923647.2015.994366

Kholis, N., & Kusumawardani, D. (2022). Improving education quality during the Covid-19 Pandemic through tutoring activity at Wonokerto Village. Proceedings of the 9th International Conference on Education Research, and Innovation (ICERI 2021) (pp. 456–462), November 10–11, 2021, Yogyakarta, Indonesia.

Landrum, B. (2020). Examining students’ confidence to learn online, self-regulation skills and perceptions of satisfaction and usefulness of online classes. Online Learning, 24(3), 128–146. https://doi.org/10.24059/olj.v24i3.2066

Lemay, D. J., Bazelais, P., & Doleck, T. (2021). Transition to online learning during the COVID-19 pandemic. Computers in Human Behavior Reports, 4, 100130. https://doi.org/10.1016/j.chbr.2021.100130

Li, C. (2021). Research on the influencing factors of learning effect of online courses in higher education. Advances in Social Science, Education and Humanities Research 2021 International Conference on Diversified Education and Social Development (DESD 2021), July 22, 2021, Guiyang, China.

Lin, Y.-M., Lin, G.-Y., & Laffey, J. (2008). Building a social and motivational framework for understanding satisfaction in online learning. Journal of Educational Computing Research, 38(1), 1–27. https://doi.org/10.2190/ec.38.1.a

Long, S. et al. (2021). Online learning satisfaction during COVID-19 pandemic among Chinese university students: The serial mediation model. Frontiers in Psychology, 12, 743936. https://doi.org/10.3389/fpsyg.2021.743936

Lowenthal, P. R. (2022). Synchronous tools for interaction and collaboration. In Zawacki-Richter, O. & Jung, I. (Eds.), Handbook of open, distance and digital education. (pp. 989–1002), Springer, Singapore.

Mao, J. (2022). A reflection on online teaching and learning through the pandemic: Revisiting creativity. In V. Dennen et al. (Eds.), Global perspectives on educational innovations for emergency situations. Educational communications and technology: Issues and innovations (pp. 179–188). Springer.

Monyela, M. (2023). Approaches to teach cataloguing modules during emergencies. In B. S.-G. Hernandez-Sanchez, Jose C. & A. M. Carrizo Moreira, Alcides (Eds.), Psychosocial, educational, and economic impacts of COVID-19 (pp. 1–13), IntechOpen.

Moore, M. G. (1989). Three types of interaction. American Journal of Distance Education, 3(2), 1–7. https://doi.org/10.1080/08923648909526659

Moore, M. G. (2022). From correspondence education to online distance education. In Zawacki-Richter, O. & Jung, I. (Eds.), Handbook of open, distance and digital education (pp. 27–42). Springer, Singapore.

Moreno, R. (2007). Optimising learning from animations by minimising cognitive load: Cognitive and affective consequences of signalling and segmentation methods. Applied Cognitive Psychology, 21(6), 765–781. https://doi.org/10.1002/acp.1348

Mufaridah, F., Yono, T., Ikhtiar, M. F., & Raharjo, P. (2022). Teacher creativity in designing learning: Phenomenological study in online learning during the Covid-19 pandemic. Indonesian Journal of Educational Science, 4(2), 176–184. https://doi.org/10.31605/ijes.v4i2.1031

Peechapol, C. et al. (2018). An exploration of factors influencing self-efficacy in online learning: A systematic review. International Journal of Emerging Technologies in Learning, 13(9), 64–86. https://doi.org/10.3991/ijet.v13i09.8351

Ruane, R., & Vera, L. (2016). Analysis of discussion board interaction in an online peer-mentoring site. Online Learning, 20(4), 79–99. https://doi.org/10.24059/olj.v20i4.1052

Salsabila, U. H. et al. (2020). Peran teknologi dalam pembelajaran di masa pandemi Covid-19. Al-Mutharahah Jurnal Penelitian Dan Kajian Sosial Keagamaan, 17(2), 188–198. https://doi.org/10.46781/al-mutharahah.v17i2.138

Scott, L. A., Temple, P., & Marshall, D. T. (2015). UDL in online college coursework: Insights of infusion and educator preparedness. Online Learning, 19(5), 99–119. https://doi.org/10.24059/olj.v19i5.623

Seng, E. L. K., & Ling, T. P. (2013). A statistical analysis of education service quality dimensions on business school students’ satisfaction. International Education Studies, 6(8), 136–146. https://doi.org/10.5539/ies.v6n8p136

Setyowati, E., & Sumartin, A. (2021). Teacher creativity in improving the learning outcomes of class B students during the pandemic period at RA Nawa Kartika Dawu in the 2020/2021 academic year. Kurikula Jurnal Pendidikan, 5(2), 195–216. https://doi.org/10.56997/kurikula.v5i2.716

Sieber, V. (2009). Diagnostic online assessment of basic it skills in 1st-year undergraduates in the medical sciences division, University of Oxford. British Journal of Educational Technology, 40(2), 215–226. https://doi.org/10.1111/j.1467-8535.2008.00926.x

Stroud, R. et al., (2014). Interactive whiteboard use in high-tech science classrooms: Patterns of integration. International Journal of Emerging Technologies in Learning, 9(9), 41–49. https://doi.org/10.3991/ijet.v9i9.4141

Suryaningsih, I., & Pamujo, P. (2021). Effectiveness of online learning in Class IV a SD Negeri Mertasinga 07 Cilacap. Progres Pendidikan, 2(3), 170–173. https://doi.org/10.29303/prospek.v2i3.189

Tamsah, H., Yusriadi, Y., Hasbi, H., Haris, A., & Ajanil, B. (2023). Training management on training effectiveness and teaching creativity in the COVID-19 Pandemic. Education Research International, 2023, 6588234. https://doi.org/10.1155/2023/6588234

Tiberiu, D. et al. (2023). A network analysis-driven sequential mediation analysis of students’ perceived classroom comfort and perceived faculty support on the relationship between teachers’ cognitive presence and students’ grit – A holistic learning approach. Behavioral Science, 13(2), 147. https://doi.org/10.3390/bs13020147

Villalon, J. J. (2016). Lesson study: Its influence on planning, instruction, and self-confidence of pre-service mathematics teachers. US-China Education Review, 6(7), 429–439. https://doi.org/10.17265/2161-6248/2016.07.003

Wang, C.-H., Shannon, D. M., & Ross, M. (2013). Students’ characteristics, self-regulated learning, technology self-efficacy, and course outcomes in online learning. Distance Education, 34(3), 302–323. https://doi.org/10.1080/01587919.2013.835779

Wang, L. et al. (2022). The development of teacher creativity in making creative learning materials at experimental state elementary school 2 Sleman. Jurnal Pemberdayaan Publikasi Hasil Pengabdian Kepada Masyarakat, 5(2), 154–162. https://doi.org/10.12928/jpm.v5i2.5625

Wu, F., & Teets, T. S. (2021). Effects of the COVID-19 pandemic on student engagement in a general chemistry course. Journal of Chemical Education, 98(12), 3633–3642. https://doi.org/10.1021/acs.jchemed.1c00665

Yusuf, B. N. M. (2020). Are we prepared enough? A case study of challenges in online learning in a private higher learning institution during the Covid-19 outbreaks. Advances in Social Sciences Research Journal, 7(5), 205–212. https://doi.org/10.14738/assrj.75.8211

Zhang, R., & Harris, S. (2010). Engaging freshman and sophomore engineering students 2010. GSW.

Zheng, M., Bender, D. A., & 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 Medical Education, 21, 495. https://doi.org/10.1186/s12909-021-02909-z