Factors influencing online learning of university students under the covid-19 pandemic

Dr. Faisal Mustafa; Ambreen Khursheed; Syed Muhammad Usama  Rizvi; Ahsan Zahid; Ayesha Akhtar

doi:10.46661/ijeri.5432

Autores/as

Dr. Faisal Mustafa
Ambreen Khursheed university of central punjab https://orcid.org/0000-0003-1497-5848
Syed Muhammad Usama Rizvi https://orcid.org/0000-0002-6174-9969
Ahsan Zahid https://orcid.org/0000-0001-9653-5277
Ayesha Akhtar

DOI:

https://doi.org/10.46661/ijeri.5432

Palabras clave:

Aprendizaje en línea, Pakistán, modelación de ecuaciones estructurales, educación

Resumen

Los sistemas de aprendizaje en línea, por su naturaleza, están libres de restricciones de tiempo o de lugar y pueden resultar una plataforma útil para los estudiantes en la que pueden continuar sus estudios cuando no les es posible ir a una universidad en persona por diferentes razones. Esos sistemas también se han utilizado en el Pakistán, en particular en el sector privado, para la educación universitaria y escolar. Este artículo intenta destacar varios problemas que enfrentan los estudiantes y los factores que tienen un efecto significativo en su experiencia de aprendizaje en línea. Recopilamos datos a través de cuestionarios en línea distribuidos a 1200 estudiantes matriculados en seis universidades privadas en Pakistán. Este estudio empleó el Modelado de Ecuación de Estructura (SEM) para examinar factores que influyeron en el aprendizaje en línea. Los resultados mostraron que la enseñanza y el comportamiento profesional, la planificación y metodología de la enseñanza de cursos y la conectividad en línea se asociaban significativamente positivamente con el aprendizaje en línea. Con la identificación de los factores clave que afectan el aprendizaje en línea de los estudiantes, será más útil ofrecer mejores servicios para una efectiva formación de los estudiantes. En el documento también se examinan otras consecuencias cruciales y un camino a seguir.

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Abdelmeneim, A., Said, F., Hassan, N., & Malek, K. (2000). Training teachers at a distance on using technology in class. World-bank and Ministry of Education. Cairo: Dar El-Tyseer. (in Arabic).

Abu-Al-Aish, A. (2014). Toward mobile learning deployment in higher education. Doctoral dissertation, Brunel University, School of Information Systems, Computing and Mathematics.

Al-Samarraie, H., Teng, B. K., Alzahrani, A. I., & Alalwan, N. (2018). Online learning continuance satisfaction in higher education: a unified perspective from instructors and students. Studies in Higher Education, 43(11), 2003-2019.

Álvarez, I., Guasch, T., & Espasa, A. (2009). University teacher roles and competencies in online learning environments: a theoretical analysis of teaching and learning practices. European Journal of Teacher Education, 32(3), 321-336.

Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411-423.

Ashill, N. J., & Jobber, D. (2010). Measuring State, Effect, and Response Uncertainty: Theoretical Construct Development and Empirical Validation. Journal of Management, 36(5), 1278-1308.

Baker, C. (2010). The impact of instructor immediacy and presence for online student affective learning, cognition, and motivation. Journal of Educators Online, 7(1), 1.

Barclay, D., Higgins, C., & Thompson, R. (1995). The partial least squares (PLS) approach to casual modeling: personal computer adoption and use as an Illustration.

Bennet, S., Priest, A., & Macpherson, C. (1999). Learning about online learning: An approach to staff development for university teachers. Australian Journal of Educational Technology, 15, 207-221.

Bielawski, L., & Metcalf, D. (2005). Blended online learning: Integrating knowledge, performance, support, and online learning (2nd ed.). United States: HRD Press.

Bryceson, K. (2001). Thoughts of a first-time online course developer: Issues and resolutions. Teaching & Education News, 11(1). Retrieved from: http://www.tedi.uq.edu.au/TEN

Cheah, J.-H., Sarstedt, M., Ringle, C.M., Ramayah, T. and Ting, H. (2018), "Convergent validity assessment of formatively measured constructs in PLS-SEM: On using single-item versus multi-item measures in redundancy analyses". International Journal of Contemporary Hospitality Management, 30 (11), 3192-3210.

Chen, H. R., & Tseng, H. F. (2012). Factors that influence acceptance of online online learning systems for the in-service education of junior high school teachers in Taiwan. Evaluation and Program Planning, 35(3), 398-406.

Chen, Y. C., Wu, J. H., Peng, L., & Yeh, R. C. (2015). Consumer benefit creation in online group buying: The social capital and platform synergy effect and the mediating role of participation. Electronic Commerce Research and Applications, 14(6), 499-513.

Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern methods for business research, 295(2), 295-336.

Crawford, J., Butler-Henderson, K., Rudolph, J., & Glowatz, M. (2020). COVID-19: 20 Countries' Higher Education Intra-Period Digital Pedagogy Responses. Journal of Applied Teaching and Learning (JALT), 3(1), 9-28.

Detlev N. (2016). Wissensmedien und die vermittlung zwischen externer und interner repräsenration, in: Knowledge und media design. Oldenbourg Verlag, Rosenheimer str. 145, D-8 167 1 München.

Dreheeb, A. E., Basir, N., & Fabil, N. (2016). Comparative Study of Quality Models. International Journal of Computer Science and Electronics Engineering (IJCSEE), 4(1), 35-39.

EC [European Commission]. (2001). Communication from the commission to the council and the European parliament: the online learning action plan, Brussels, 28.3.

Falk, R. F., & Miller, N. B. (1992). A primer for soft modeling. University of Akron Press.

Fisher, C. W., Berliner, D. C., Filby, N. N., Marliave, R., Cahen, L. S., & Dishaw, M. M. (1981). Teaching behaviors, academic learning time, and student achievement: An overview. The Journal of classroom interaction, 17(1), 2-15.

Fornell, C., & Bookstein, F. L. (1982). Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing Research, 19(4), 440-452.

Freeze, R. D., Alshare, K. A., Lane, P. L., & Wen, H. J. (2019). IS success model in online learning context based on students' perceptions. Journal of Information Systems Education, 21(2), 4.

Fregonese, C., Caputo, A., & Langher, V. (2018). Work symbolic motive scale: development and validation of a measure of affective investment at work. International Journal of Work Organisation and Emotion, 9(4), 322-347.

Gartmeier, M., Bauer, J., Fischer, M. R., Hoppe-Seyler, T., Karsten, G., Kiessling, C. & Prenzel, M. (2015). Fostering professional communication skills of future physicians and teachers: effects of online learning with video cases and role-play. Instructional Science, 43(4), 443-462.

Gell-Mann, M. (1996). A commentary to R Schank. in J. Brockman (Ed.), The third culture: beyond the scientific revolution. New York: Touchtone Books, 167-180.

Goodman, J., Melkers, J., & Pallais, A. (2019). Can online delivery increase access to education? Journal of Labor Economics, 37(1), 1-34.

Graf, S., & Kinshuk, T.-C. L. (2010). Analysis of learners’ navigational behaviour and their learning styles in an online course. Journal of Computer Assisted Learning, 26(2), 116-131.

Hasnat, F. (2009) Developing an online learning environment for CSE-110 at BRAC University. A Thesis Report. Department of Computer Science and Engineering, BRAC University.

Hayashi, A., Chen, C., Ryan, T., & Wu, J. (2020). The role of social presence and moderating role of computer self-efficacy in predicting the continuance usage of online learning systems. Journal of Information Systems Education, 15(2), 5.

Jacobsen, W. C., & Forste, R. (2011). The wired generation: Academic and social outcomes of electronic media use among university students. Cyberpsychology, Behavior, and Social Networking, 14(5), 275-280.

Joo, Y. J., Lee, H.W., & Ham, Y. (2014). Integrating user interface and personal innovativeness into the TAM for mobile learning in Cyber University. Journal of Computing in Higher Education, 26(2), 143–158.

Kung, Y. L. (2019). An online learning system for introduction to information and communication technology.

Lawler, J., Joseph, A., & Yegnaseshan, A. (2020). An Analysis of Course Impacts from a Design Factory Methodology. In Proceedings of the EDSIG Conference (Vol. 2473, p. 4901).

Lepp, A., Barkley, J. E., & Karpinski, A. C. (2014). The relationship between cell phone use, academic performance, anxiety, and satisfaction with life in college students. Computers in Human Behavior, 31, 343-350.

Liguori, E., & Winkler, C. (2020). From Offline to Online: Challenges and opportunities for entrepreneurship education following the COVID-19 pandemic. Entrepreneurship Education and Pedagogy, 3(4), 346-351.

Loayza, N. V., & Pennings, S. (2020). Macroeconomic policy in the time of covid-19: A primer for developing countries. Research and Policy Briefs, 28.

Loyalka, P., Popova, A., Li, G., & Shi, Z. (2019). Does teacher training actually work? Evidence from a large-scale randomized evaluation of a national teacher training program. American Economic Journal: Applied Economics, 11(3), 128-54.

Lu, H., Stratton, C. W., & Tang, Y. W. (2020). The Wuhan SARS‐CoV‐2—What's next for China. Journal of Medical Virology, 92(6), 546-547.

Martins, L., & Kellermanns, F. (2004). A model of business school students’ acceptance of a Online course management system. Academy of Management Learning & Education, 3(1), 7-26.

Masrom, M., Zainon, O., & Rahiman, R. (2008). Critical success in online learning: An examination of technological and institutional support factors. Retrieved from: https://www.researchgate.net/publication/228410786_Critical_Success_in_Elearning_An_Examination_of_Technological_and_Institutional_Support_Factors

Matias-Reche, F., Garcia-Morales, V. J., & Rueda-Manzanares, A. (2008). Entrepreneurial size, complexity and decentralization of decision-making in the use of temporary help workers in Spain. The International Journal of Human Resource Management, 19(1), 169–187.

McKibbin, W. J., & Fernando, R. (2020). The global macroeconomic impacts of COVID-19: Seven scenarios. Retrieved form: https://www.brookings.edu/research/the-global-macroeconomic-impacts-of-covid-19-seven-scenarios/

McMahon, M. (1997, December). Social constructivism and the world wide web—A paradigm for learning. Paper presented at the annual meeting of the Australasian society for computers in learning in tertiary education (ASCILITE), Perth, Australia. Retrieved from: http://www.ascilite.org.au/conferences/perth97/papers/Mcmahon/Mcmahon.html

Muijs, D., Kyriakides, L., Van der Werf, G., Creemers, B., Timperley, H., & Earl, L. (2014). State of the art–teacher effectiveness and professional learning. School effectiveness and school improvement, 25(2), 231-256.

Neo, K. T. K., & Neo, M. (2001). A constructivist learning experience: Reconstructing a web site using online multimedia authoring tools. Australian Journal of Educational Technology, 17(3), 330–350.

Noesgaard, S. S., & Ørngreen, R. (2015). The Effectiveness of Online learning: An Explorative and Integrative Review of the Definitions, Methodologies and Factors that Promote online learning Effectiveness. Electronic Journal of Online learning, 13(4), 278-290.

Nunnally, J. C., & Bernstein, I. H. (1994). Validity. Psychometric Theory, 3, 99-132.

Pear, J. J., & Crone-Todd, D. E. (2002). A social constructivist approach to computer-mediated instruction. Computers and Education, 38, 221–231.

Pham, L., Limbu, Y. B., Bui, T. K., Nguyen, H. T., & Pham, H. T. (2019). Does online learning service quality influence online learning student satisfaction and loyalty? Evidence from Vietnam. International Journal of Educational Technology in Higher Education, 16(1), 7.

Poulou, M. S. (2020). Students’ adjustment at school: The role of teachers’ need satisfaction, teacher–student relationships and student well-being. School Psychology International, 0143034320951911.

Rashid, T., & Asghar, H. M. (2016). Technology use, self-directed learning, student engagement and academic performance: Examining the interrelations. Computers in Human Behavior, 63, 604-612.

Ring, G., & McMahon, M. (1997, December). Web instruction: Searching for a theoretical basis. Paper presented at the international conference on computers in education (ICCE97), Kuching, Malaysia.

Roky, H., & Al Meriouh, Y. (2015). Evaluation by users of an industrial information system (XPPS) based on the DeLone and McLean model for IS success. Procedia Economics and Finance, 26, 903-913.

Ruey-Shun, Hsiang, C. H. (2007) A study on the critical success factors for corporations embarking on knowledge community-based online learning. Information Sciences, 177 (2), 570–586.

Siddiqui, M. U. A., Saeed, H., & Farid, S. (2019). Online Support Services in Online learning: A Technology Acceptance Model. Sukkur IBA Journal of Computing and Mathematical Sciences, 2(2), 22-29.

Stash, N. (2007). Incorporating Cognitive/Learning Styles in a General-Purpose Adaptive Hypermedia System. Ph.D. dissertation, Eindhoven: Technische Universiteit, Eindhoven, Netherlands.

Storey, C., & Kahn, K. B. (2010). The role of knowledge management strategies and task knowledge in stimulating service innovation. Journal of Service Research, 13(4), 397-410.

Torres-Gordillo, J. J., Melero-Aguilar, N., & García-Jiménez, J. (2020). Improving the university teaching-learning process with ECO methodology: Teachers’ perceptions. PloS one, 15(8), e0237712.

Torrisi-Steele, G. (2002, July). Technology for the sake of learning—A planning approach for integrating new technologies in tertiary learning environments. In Proceedings of AusWeb02 The Eighth Australian World Wide Web Conference.

Ukpokodu, O. N. (2020). Marginalization of Social Studies Teacher Preparation for Global Competence and Global Perspectives Pedagogy: A Call for Change. Journal of International Social Studies, 10(1), 3-34.

Vohra, M. H. (2013). Online learning in Pakistan. Retrieved from: http://www.hamariweb.com/articles/article.aspx?id=32766

Wang, D., Hu, B., Hu, C., Zhu, F., Liu, X., Zhang, J., & Zhao, et al. (2020). Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus–infected pneumonia in Wuhan, China. Jama, 323(11), 1061-1069.

Wang, W. T., & Wang, C. C. (2009). An empirical study of instructor adoption of online learning systems. Computers & Education, 53(3), 761-774.

Wentworth, D. K., & Middleton, J. H. (2014). Technology use and academic performance. Computers & Education, 78, 306-311.

Willems, J., Farley, H., & Campbell, C. (2019). The increasing significance of digital equity in higher education. Australasian Journal of Educational Technology, 35(6), 1-8.

Williams, L. J., & Hazer, J. T. (1986). Antecedents and consequences of satisfaction and commitment in turnover models: A reanalysis using latent variable structural equation methods. Journal of Applied Psychology, 71(2), 219–231. https://doi.org/10.1037/0021-9010.71.2.219

Wu, J., Zhang, S. (2010). Broadband multimedia online learning system using web service. Retrieved from: https://www.cn.apan.net/cairns/NRW/06-Wu%20Jie.pdf

Zhang, X. (2020, March). Thoughts on Large-Scale Long-Distance Online Teaching in Colleges and Universities Under Novel Coronavirus Pneumonia Epidemic: A Case of Chengdu University. In 4th International Conference on Culture, Education and Economic Development of Modern Society (ICCESE 2020) (pp. 1222-1225). Atlantis Press.