International Journal of Academic Research in Business and Social Sciences

search-icon

Predictors of Student Satisfaction and Perceived Learning in Online Distance Learning: The Effects of Self-efficacy and Interaction

Open access
The increasing number of COVID-19 cases in Malaysia forced the Ministry of Higher Education to postpone reopening the university in October 2020. To ensure continuity of learning, universities had no choice but to continue with online distance learning (ODL). Though ODL is not a new experience, the absence of first-time face-to-face meetings is challenging. Due to the importance of student satisfaction and perceived learning as outcomes of online learning, the factors affecting these variables should be considered extensively. The purpose of this study is to examine the influence of online learning self-efficacy, learner-content interaction, learner-instructor interaction, and learner-learner interaction on student satisfaction and perceived learning. An online questionnaire survey method was used to collect data among diploma accounting students of University Teknologi Mara, Tapah. By deploying SPSS, 321 surveys were analyzed. The multiple regression results revealed that only self-efficacy, learner-content interaction, and learner-learner interaction were significantly predictive of student satisfaction and perceived learning. The results also found that learner-content interaction was the most contributed predictor of student satisfaction and perceived learning. However, learner-instructor interaction was not a significant predictor of both dependent variables. The findings of the study could be beneficial for educators in designing lesson content and planning for teaching methods and styles to improve the interaction with the students. This study also addressed how educators may practically prepare students for asynchronous online courses by teaching them to learn with a high level of self-efficacy and by encouraging student interaction.
Hashish, A. E. A., Baatiah, N. Y., Bashaweeh, A. H., & Kattan, A. M. (2022). The online learning experience and reported headaches associated with screen exposure time among Saudi health sciences students during the COVID-19 pandemic. BMC Medical Education, 22(1), 226.
Aldhahi, M. I., Alqahtani, A. S., Baattaiah, B. A., & Al-Mohammed, H. I. (2022). 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(1), 1323-1340.
Alenezi, A. R. (2022). Modeling the social factors affecting students’ satisfaction with online learning: A Structural Equation Modeling approach. Education Research International, 2022.
Allam, S. N. S., Hassan, M. S., Mohideen, R. S., Ramlan, A. F., & Kamal, R. M. (2020). Online distance learning readiness during COVID-19 outbreak among undergraduate students. International Journal of Academic Research in Business and Social Sciences, 10(5), 642–657.
Alqurashi, E. (2016). Self-efficacy in online learning environments: A literature review. Contemporary Issues in Education Research, 9(1), 45-52.
Alqurashi, E. (2017). Self-efficacy and the interaction model as predictors of student satisfaction and perceived learning in online learning environments (Doctoral dissertation, Duquesne University).
Arbaugh, J. B., & Benbunan-Fich, R. (2007). The importance of participant interaction in online environments. Decision Support Systems, 43(3), 853-865.
Aristovnik, A., Kerzic, D., Ravselj, D., Tomazevic, N., & Umek, L. (2020). Impacts of the COVID-19 pandemic on life of higher education students: A global perspective. Sustainability, 12(20), 8438.
Baber, H. (2020). Determinants of students’ perceived learning outcome and satisfaction in online learning during the pandemic of COVID-19. Journal of Education and eLearning Research, 7(3): 285-292.
Baherimoghadam, T., Hamedani, S., Naseri, N., & Marzban, N. (2021). The effect of learning style and general self-efficacy on satisfaction of e-Learning in dental students. BMC Medical Education, 21(1), 1-7.
Bandura, A. (1986). Social foundations of thought and action. Englewood Cliffs, NJ: Prentice-Hall.
Basri, S., Hawaldar, I. T., Nayak, R., & Rahiman, H. U. (2022). Do academic stress, burnout and problematic internet use affect perceived learning? Evidence from India during the COVID-19 pandemic. Sustainability, 14(3), 1409.
Becirovic, S., Ahmetovic, E., & Skopljak, A. (2022). An examination of students online learning satisfaction, interaction, self-efficacy and self-regulated learning. European Journal of Contemporary Education, 11(1), 16-35.
Bray, E., Aoki, K., & Dlugosh, L. (2008). Predictors of learning satisfaction in Japanese online distance learners. International Review of Research in Open and Distributed Learning, 9(3), 1–24.
Callo, E. C., & Yazon, A. D. (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.
Dinh, T. C., Nguyen, P. B. N., Nguyen, T. T. T., Ngo, X. M. T., & Le Nguyen, A. T. (2022). The predictors of students’ satisfaction and academic achievements in online learning environment in higher education. Vietnam Journal of Education, 6(1), 80-92.
Elshami, W., Taha, M. H., Abuzaid, M., Saravanan, C., Al Kawas, S., & Abdalla, M. E. (2021). Satisfaction with online learning in the new normal: Perspective of students and faculty at medical and health sciences colleges, Medical Education Online, 26(1).
Eom, S. B., Wen, H. J., & Ashill, N. (2006). The determinants of students' perceived learning outcomes and satisfaction in university online education: An empirical investigation. Decision Sciences Journal of Innovative Education, 4(2), 215-235.
Gray, J. A., & DiLoreto, M. (2016). The effects of student engagement, student satisfaction, and perceived learning in online learning environments. International Journal of Educational Leadership Preparation, 11(1), n1.
Iqbal, S. A., Ashiq, M., Rehman, S. U., Rashid, S., & Tayyab, N. (2022). Students’ perceptions and experiences of online education in Pakistani universities and higher education institutes during COVID-19. Education Sciences, 12(3), 166.
Kadar, R., Johan, E. J., & Abu Bakar, M. S. (2020). E-content development and delivery for virtual classroom. SIG CS@e-LEARNING, 1, 59 – 65.
Kamil, A. I. M., Ismail, N. A. A., Hassan, A. A., Rooshdi, R. R. R. M., & Marhani, M. A. (2022). Satisfaction of quantity surveying students towards online distance learning (ODL) during COVID-19 pandemic. Asian Journal of University Education, 18(2), 422-429.
Karim, M. W., Haque, A., Ulfy, M. A., & Hossin, M. S. (2021). Factors influencing student satisfaction towards distance learning apps during the coronavirus (COVID-19) pandemic in Malaysia. International Journal of Academic Research in Progressive Education and Development, 10(2), 245–260.
Kentnor, H. E. (2015). Distance education and the evolution of online learning in the United States. Curriculum and Teaching Dialogue, 17 (1 & 2), 21–000.
Kim, D., Jung, E., Yoon, M., Chang, Y., Park, S., Kim, D., & Demir, F. (2021). Exploring the structural relationships between course design factors, learner commitment, self-directed learning, and intentions for further learning in a self-paced MOOC. Computers & Education, 166, 104171.
Kuo, Y. C., Walker, A. E., Schroder, K. E., & Belland, B. R. (2014). Interaction, Internet self-efficacy, and self-regulated learning as predictors of student satisfaction in online education courses. The Internet and Higher Education, 20, 35-50.
Kurbanoglu, S. S. (2003). Self-efficacy: A concept closely linked to information literacy and lifelong learning. Journal of Documentation, 59(6), 635–646.
Latip, M. S. A., Newaz, F. T., & Ramasamy, R. (2020). Students' perception of lecturers' competency and the effect on institution loyalty: The mediating role of students' satisfaction, Asian Journal of University Education, 16(2), 183-195.
Latip, M. S. A., Tamrin, M., Noh, I., Rahim, F. A., Nur, S., & Latip, N. A. (2022). Factors Affecting e-Learning Acceptance among Students: The moderating effect of self-efficacy. International Journal of Information and Education Technology, 12(2), 116-122.
Lin, G. Y. (2016). Effects that Facebook-based online peer assessment with micro-teaching videos can have on attitudes toward peer assessment and perceived learning from peer assessment. EURASIA Journal of Mathematics, Science and Technology Education, 12(9), 2295–2307.
Mathew, V. N., and Chung, E. (2020). University students’ perspectives on open and distance learning (ODL) implementation amidst COVID-19, Asian Journal of University Education, 16(4), 152-160.
Moore, M. G. (1993). The theory of transactional distance. Theoretical Principles of Distance Education, 22–38.
Moore, M., & Kearsley, G. (1996). Distance education: A Systems View. New York, NY: Wadsworth.
O'Leary, P. F., & Quinlan Jr, T. J. (2007). Learner–instructor telephone interaction: Effects on satisfaction and achievement of online students. The American Journal of Distance Education, 21(3), 133-143.
Prabhu, M. N. B., Bolar, K., Mallya, J., Roy, P., Payini, V., & Thirugnanasambantham, K. (2022). Determinants of hospitality students' perceived learning during COVID 19 pandemic: Role of interactions and self-efficacy. Journal of Hospitality, Leisure, Sport & Tourism Education, 30, 100335.
Rindaningsih, I., Findawati, Y., Hastuti, W. D., & Fahyuni, E. F. (2021). Synchronous and Asynchronous with Flipped Learning Environment in Primary School. Journal of Elementary Education, 5 (1), 33 – 44.
Saidi, R. M., Sharip, A. A., Abd Rahim, N. Z., Zulkifli, Z. A., & Zain, S. M. M. (2021). Evaluating students' preferences of Open and Distance Learning (ODL) tools. Procedia Computer Science, 179, 955-961.
Segbenya, M., Bervell, B., Minadzi, V. M., & Somuah, B. A. (2022). Modelling the perspectives of distance education students towards online learning during COVID-19 pandemic. Smart Learning Environments, 9(1), 1-18.
Sekaran, U., & Bougie, R. (2013). Research Methods for Business. United Kingdom: John Wiley & Sons Ltd.
Sharaievska, I., McAnirlin, O., Browning, M. H., Larson, L. R., Mullenbach, L., Rigolon, A., & Reigner, N. (2022). “Messy transitions”: Students’ perspectives on the impacts of the COVID-19 pandemic on higher education. Higher Education, 1-18.
She, L., Ma, L., Jan, A., Nia, S. H., & Rahmatpour, P. (2021). Online learning satisfaction during COVID-19 pandemic among Chinese university students: The serial mediation model. Frontiers Psychology, 12, 743936.
Shen, D., Cho, M. H., Tsai, C. L., & Marra, R. (2013). Unpacking online learning experiences: Online learning self-efficacy and learning satisfaction. The Internet and Higher Education, 19, 10-17.
Svatos, J., Holub, J., Fischer, J., & Sobotka, J. (2022). Online teaching of practical classes under the COVID-19 restrictions. Measurement: Sensors, 100378.
Tang, Y., & Tseng, H. W. (2013). Distance learners' self-efficacy and information literacy skills. The Journal of Academic Librarianship, 39(6), 517-521.
Ulfatun, T., Septiyanti, F., & Lesmana, A. G. (2021). University students’ online learning self-efficacy and self-regulated learning during the COVID-19 pandemic. International Journal of Information and Education Technology, 11(12), 598-602.
Wei, C. Y., Kuah, Y. C., Liew, F. M., Lee, C. L., & Koh, C. M. (2021). Online learning mode during COVID-19 pandemic: Learner’s perception qualitatively in finance courses. Asian Journal of Research in Education and Social Sciences, 3(2), 41-53.
Yan-Li, S., Na, J., Pamanee, K., & Sriyanto, J. (2022). Online learning readiness and satisfaction during COVID-19 pandemic among university students in four Asian countries. Journal of Nusantara Studies, 7(2), 245-269.
Zeng, X., & Wang, T. (2021). College student satisfaction with online learning during COVID-19: A review and implications. International Journal of Multidisciplinary Perspectives in Higher Education, 6(1), 182-195.
Zhang, Y., Tian, Y., Yao, L., Duan, C., Sun, X., & Niu, G. (2022). Individual differences matter in the effect of teaching presence on perceived learning: From the social cognitive perspective of self-regulated learning. Computers & Education, 179, 104427.
In-Text Citation: (Rahman et al., 2022)
To Cite this Article: Rahman, L. A., Omar, N., Fatzel, F. H. M., & Isa, N. S. M. (2022). Predictors of Student Satisfaction and Perceived Learning in Online Distance Learning: The Effects of Self-efficacy and Interaction. International Journal of Academic Research in Business and Social Sciences, 12(10), 731– 748.