This is a preview and has not been published. View submission

An Integrated Model of Online Learning Success in Moroccan Higher Education: Evidence from PLS-SEM

Authors

  • Meryem Ziz Laboratory of Modeling and Simulation of Intelligent Industrial Systems, ENSET of Mohammedia, Hassan II University of Casablanca, Morocco
  • Sophia Faris Laboratory of Modeling and Simulation of Intelligent Industrial Systems, ENSET of Mohammedia, Hassan II University of Casablanca, Morocco
  • Khalifa Mansouri Laboratory of Modeling and Simulation of Intelligent Industrial Systems, ENSET of Mohammedia, Hassan II University of Casablanca, Morocco
Volume: 16 | Issue: 3 | Pages: 36672-36685 | June 2026 | https://doi.org/10.48084/etasr.18892

Abstract

Online learning has played an essential role in education, underscoring the need to understand the factors that influence student satisfaction, continuity intention, and engagement. Building on a previous theoretical development of an integrated model of online learning success, this study empirically evaluates that model in the context of Moroccan higher education. Using a quantitative cross-sectional design, data were collected using a purpose sampling strategy from 207 students from Moroccan universities. To analyze the relationships between constructs conceptualized using multiple theoretical frameworks (TAM, ECM, D&M ISS, TTF, SRL, SDT, SCT, IDT, and CoI), data analysis was performed using Structural Equation Modeling via the Partial Least Squares approach (PLS-SEM), which is suitable for complex multi-theory models. The results showed that 8 of the 15 hypothesized relationships were statistically significant, with perceived ease of use and system, service, and information quality being significant predictors of student satisfaction. Satisfaction predicts continuity intention, task-technology fit and self-regulated learning predict perceived performance impact, and continuity intention also positively predicts performance. The relationships hypothesized through social/teaching presence, competence/autonomy/ relatedness, and innovation attributes were not supported, suggesting a more complex or indirect influence in this context. These findings provide empirical support for key components of the integrated model and advance understanding of how established frameworks apply in a resource-constrained developing-country higher education context. Practically, the results underscore the importance for Moroccan institutions of prioritizing platform usability and quality, aligning technology with learning tasks, and fostering students' self-regulation skills to enhance satisfaction, continuity, and perceived performance in online learning.

Keywords:

online learning, student satisfaction, continuity intention, performance impact, Moroccan higher education, integrated satisfaction model, PLS-SEM, technology adoption, self-regulated learning

References

M. Ziz, S. Faris, and K. Mansouri, "Towards a New Students Satisfaction Model in Online Environments for Academic Performance," Journal of Theoretical and Applied Information Technology, vol. 101, no. 23, 2023.

A. Chahid, S. Ahriz, K. E. Guemmat, and K. Mansouri, "Digital Transformation in Higher Education Obstacle Assessment and Development of Strategies against Cybersecurity Threats: The Case of Moroccan Universities," Engineering, Technology & Applied Science Research, vol. 15, no. 1, pp. 19809–19815, Feb. 2025.

S. E. Ferouali and S. Ouhadi, "Digital transformation in Moroccan higher education: a literature review," African Journal of Management, Engineering and Technology, vol. 1, no. 2, pp. 135–148, 2023.

M. Anigri, "E-learning for smart-universities: pandemic challenges and opportunities in Morocco," E3S Web of Conferences, vol. 297, 2021, Art. no. 01066.

A. B. Attou, "The Digitalization of Higher Education in Morocco, Limits, Challenges and Perspectives: Case Study of the Faculty of Letters and Human Sciences University of Ibn Zohr Agadir," in International Conference on Studies in Education and Social Sciences, 2022, pp. 65–76.

U. Sujatha and R. Gunasundari, "Investigating Online Learning Acceptance Using Technology Acceptance Model," SSRN Electronic Journal, 2024.

J. A. M. García, C. G. Gómez, A. T. López, and M. J. Schlosser, "Applying the technology acceptance model to online self-learning: A multigroup analysis," Journal of Innovation & Knowledge, vol. 9, no. 4, Oct. 2024, Art. no. 100571.

F. Tabak and N. T. Nguyen, "Technology acceptance and performance in online learning environments: Impact of self-regulation," Journal Of Online Learning and Teaching, vol. 9, no. 1, pp. 116–130, 2013.

A. Bhattacherjee, "Understanding Information Systems Continuance: An Expectation-Confirmation Model1," MIS Quarterly, vol. 25, no. 3, pp. 351–370, Sept. 2001.

W. S. Chow and S. Shi, "Investigating Students’ Satisfaction and Continuance Intention toward E-learning: An Extension of the Expectation – Confirmation Model," Procedia - Social and Behavioral Sciences, vol. 141, pp. 1145–1149, Aug. 2014.

W. H. Delone and E. R. MacLean, "The DeLone and McLean Model of Information Systems Success: A Ten-Year Update," Journal of Management Information Systems, vol. 19, no. 4, pp. 9–30, Apr. 2003.

D. Al-Fraihat, M. Joy, R. Masa’deh, and J. Sinclair, "Evaluating E-learning systems success: An empirical study," Computers in Human Behavior, vol. 102, pp. 67–86, Jan. 2020.

C. N. Gunawardena and F. J. Zittle, "Social presence as a predictor of satisfaction within a computer‐mediated conferencing environment," American Journal of Distance Education, vol. 11, no. 3, pp. 8–26, Jan. 1997.

J. Kim, Y. Kwon, and D. Cho, "Investigating factors that influence social presence and learning outcomes in distance higher education," Computers & Education, vol. 57, no. 2, pp. 1512–1520, Sept. 2011.

B. Yu, "Self-regulated learning: A key factor in the effectiveness of online learning for second language learners," Frontiers in Psychology, vol. 13, Jan. 2023, Art. no. 1051349.

Z. Xu, Y. Zhao, B. Zhang, J. Liew, and A. Kogut, "A meta-analysis of the efficacy of self-regulated learning interventions on academic achievement in online and blended environments in K-12 and higher education," Behaviour & Information Technology, vol. 42, no. 16, pp. 2911–2931, Dec. 2023.

S. Bali, M. C. Liu, and H. Sari, "Examining Key Determinants of Social Presence and Satisfaction in Online Learning: An Exploration with Undergraduate Student," International Journal of Education in Mathematics, Science and Technology, vol. 12, no. 4, pp. 1071–1089, Aug. 2024.

M. K. M. Nasir, "The Influence of Social Presence on Students’ Satisfaction toward Online Course," Open Praxis, vol. 12, no. 4, Dec. 2020, Art. no. 485.

M. Turk, B. C. Heddy, and R. W. Danielson, "Teaching and social presences supporting basic needs satisfaction in online learning environments: How can presences and basic needs happily meet online?," Computers & Education, vol. 180, Apr. 2022, Art. no. 104432.

R. S. Rai and F. Selnes, "Conceptualizing task-technology fit and the effect on adoption – A case study of a digital textbook service," Information & Management, vol. 56, no. 8, Dec. 2019, Art. no. 103161.

H. Sun, Y. Fang, and H. Zou, "Choosing a Fit Technology: Understanding Mindfulness in Technology Adoption and Continuance," Journal of the Association for Information Systems, vol. 17, no. 6, pp. 377–412, June 2016.

R. M. Ryan and E. L. Deci, "Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being," American Psychologist, vol. 55, no. 1, pp. 68–78, 2000.

M. T. Cole, D. J. Shelley, and L. B. Swartz, "Online instruction, e-learning, and student satisfaction: A three year study," The International Review of Research in Open and Distributed Learning, vol. 15, no. 6, Oct. 2014.

J. H. V. Shing, "E-Service Quality, Students’ Satisfaction And Synchronous Online Learning Retention In The Era Of Sudden Educational Paradigm Shifts.," IOSR Journal of Research & Method in Education (IOSR-JRME), pp. 38–46, Sept. 2023.

F. D. Davis, "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology," MIS Quarterly, vol. 13, no. 3, pp. 319–340, Sept. 1989.

N. Nuryakin, N. L. P. Rakotoarizaka, and H. G. Musa, "The Effect of Perceived Usefulness and Perceived Easy to Use on Student Satisfaction The Mediating Role of Attitude to Use Online Learning," Asia Pacific Management and Business Application, vol. 011, no. 03, pp. 323–336, Apr. 2023.

E. M. Rogers, Diffusion of Innovations, 3rd ed. Free Press, 1983.

I. Sahin, "Detailed Review of Rogers’ Diffusion of Innovations Theory and Educational Technology-Related Studies Based on Rogers’ Theory," Turkish Online Journal of Educational Technology - TOJET, vol. 5, no. 2, pp. 14–23, Apr. 2006.

D. L. Goodhue and R. L. Thompson, "Task-Technology Fit and Individual Performance," MIS Quarterly, vol. 19, no. 2, pp. 213–236, June 1995.

R. M. Fuller and A. R. Dennis, "Does Fit Matter? The Impact of Task-Technology Fit and Appropriation on Team Performance in Repeated Tasks," Information Systems Research, vol. 20, no. 1, pp. 2–17, Mar. 2009.

A. Alraggad, "The effect of social interaction on academic performance: The moderating influence of cultural background," Edelweiss Applied Science and Technology, vol. 9, no. 4, pp. 1276–1286, Apr. 2025.

M. S. Senter, "The Impact of Social Relationships on College Student Learning during the Pandemic: Implications for Sociologists," Teaching Sociology, vol. 52, no. 1, pp. 39–54, Jan. 2024.

V. S. Casanova and W. M. Paguia, "Expectations, Experiences, and Satisfaction of the Graduate Students with Distance Online Learning Environment in OMSC Graduate School during the Covid-19 Pandemic," Journal of Practical Studies in Education, vol. 3, no. 1, pp. 14–22, Nov. 2021.

J. C. Anderson and D. W. Gerbing, "Structural equation modeling in practice: A review and recommended two-step approach," Psychological Bulletin, vol. 103, no. 3, pp. 411–423, 1988.

M. Tavakol and R. Dennick, "Making sense of Cronbach’s alpha," International Journal of Medical Education, vol. 2, pp. 53–55, June 2011.

S. C. Izah, L. Sylva, and M. Hait, "Cronbach's Alpha: A Cornerstone in Ensuring Reliability and Validity in Environmental Health Assessment," ES Energy & Environment, 2023.

M. R. Ab Hamid, W. Sami, and M. H. Mohmad Sidek, "Discriminant Validity Assessment: Use of Fornell & Larcker criterion versus HTMT Criterion," Journal of Physics: Conference Series, vol. 890, Sept. 2017, Art. no. 012163.

R. A. Peterson, "A Meta-Analysis of Variance Accounted for and Factor Loadings in Exploratory Factor Analysis," Marketing Letters, vol. 11, no. 3, pp. 261–275, Aug. 2000.

A. H. Segars, "Assessing the unidimensionality of measurement: a paradigm and illustration within the context of information systems research," Omega, vol. 25, no. 1, pp. 107–121, Feb. 1997.

N. Marangunić and A. Granić, "Technology acceptance model: a literature review from 1986 to 2013," Universal Access in the Information Society, vol. 14, no. 1, pp. 81–95, Mar. 2015.

M. Murad, A. Razzaque, A. Hamdan, and A. Benhamed, "Impact of Educational Technology on Students' Performance," in Proceedings of the International Conference on e-Learning 2019, July 2019, pp. 163–170.

J. Valverde-Berrocoso, J. Acevedo-Borrega, and M. Cerezo-Pizarro, "Educational Technology and Student Performance: A Systematic Review," Frontiers in Education, vol. 7, June 2022, Art. no. 916502.

R. L. Oliver, "Effect of expectation and disconfirmation on postexposure product evaluations: An alternative interpretation," Journal of Applied Psychology, vol. 62, no. 4, pp. 480–486, 1977.

H. Hashim, S. A. Mohamad, H. Che Hamzah, R. A. Halid, and I. Azer, "The Role of Perceived Usefulness and Confirmation in Influencing Student’s Satisfaction on Online Distance Learning," Asian Journal of University Education, vol. 19, no. 2, Apr. 2023.

H. Chatti and S. Hadoussa, "Factors Affecting the Adoption of E-Learning Technology by Students during the COVID-19 Quarantine Period: The Application of the UTAUT Model," Engineering, Technology & Applied Science Research, vol. 11, no. 2, pp. 6993–7000, Apr. 2021.

W. H. DeLone and E. R. McLean, "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, vol. 3, no. 1, pp. 60–95, Mar. 1992.

V. Sarasi, I. Chaerudin, and I. A. Sundoro, "The DeLone and McLean model for measuring success in online learning systems: Indonesian evidence," Journal of Education and Learning (EduLearn), vol. 17, no. 4, pp. 566–574, Nov. 2023.

H F. Lin, "Measuring Online Learning Systems Success: Applying the Updated DeLone and McLean Model," CyberPsychology & Behavior, vol. 10, no. 6, pp. 817–820, Dec. 2007.

T. Yu and T. Yu, "Modelling the factors that affect individuals’ utilisation of online learning systems: An empirical study combining the task technology fit model with the theory of planned behaviour," British Journal of Educational Technology, vol. 41, no. 6, pp. 1003–1017, Nov. 2010.

S. Ulfa, E. Surahman, I. Fatawi, and H. Tsukasa, "Task-Technology Fit Analysis: Measuring the Factors that influence Behavioural Intention to Use the Online Summary-with Automated Feedback in a MOOCs Platform," Electronic Journal of e-Learning, vol. 22, no. 1, pp. 63–77, Mar. 2024.

S. Butt, A. Mahmood, S. Saleem, T. Rashid, and A. Ikram, "Students’ Performance in Online Learning Environment: The Role of Task Technology Fit and Actual Usage of System During COVID-19," Frontiers in Psychology, vol. 12, Nov. 2021, Art. no. 759227.

B. J. Zimmerman, "Becoming a self-regulated learner: Which are the key subprocesses?," Contemporary Educational Psychology, vol. 11, no. 4, pp. 307–313, Oct. 1986.

S. Xiao, K. Yao, and T. Wang, "The Relationships of Self-regulated Learning and Academic Achievement in University Students," SHS Web of Conferences, vol. 60, 2019, Art. no. 01003.

Z. Xu, Y. Zhao, J. Liew, X. Zhou, and A. Kogut, "Synthesizing research evidence on self-regulated learning and academic achievement in online and blended learning environments: A scoping review," Educational Research Review, vol. 39, May 2023, Art. no. 100510.

L. Li, Q. Wang, and J. Li, "Examining continuance intention of online learning during COVID-19 pandemic: Incorporating the theory of planned behavior into the expectation–confirmation model," Frontiers in Psychology, vol. 13, Nov. 2022, Art. no. 1046407.

H. Abuhassna et al., "An analysis of educational outcomes and user satisfaction in webex following COVID-19: An expectation-confirmation model," Journal of Autonomous Intelligence, vol. 7, no. 5, May 2024, Art. no. 1550.

L. Yuerong, M. Na, Y. Xiaolu, and S. S. Alam, "Self-determination and perceived learning in online learning communities," Scientific Reports, vol. 14, no. 1, Oct. 2024, Art. no. 24538.

T. K. F. Chiu, "Applying the self-determination theory (SDT) to explain student engagement in online learning during the COVID-19 pandemic," Journal of Research on Technology in Education, vol. 54, no. sup1, Jan. 2022.

E. Suryanto, N. Oktarina, and T. Tusyanah, "Role of Social Presence in Mediating Learning Satisfaction in Online Learning," Journal of Learning for Development, vol. 11, no. 1, pp. 82–98, Mar. 2024.

P. Makovholo, N. Batyashe, T. Sekgweleo, and T. Iyamu, "Diffusion of innovation theory for information technology decision making in organisational strategy," Journal of Contemporary Management, vol. 14, no. 1, pp. 461–481, Jan. 2017.

C. Pinho, M. Franco, and L. Mendes, "Application of innovation diffusion theory to the E-learning process: higher education context," Education and Information Technologies, vol. 26, no. 1, pp. 421–440, Jan. 2021.

W. M. Al-Rahmi, N. Yahaya, M. M. Alamri, I. Y. Alyoussef, A. M. Al-Rahmi, and Y. B. Kamin, "Integrating innovation diffusion theory with technology acceptance model: supporting students’ attitude towards using a massive open online courses (MOOCs) systems," Interactive Learning Environments, vol. 29, no. 8, pp. 1380–1392, Nov. 2021.

M. C. Howard and J. F. Hair, "Integrating the Expanded Task-technology Fit Theory and the Technology Acceptance Model: A Multi-wave Empirical Analysis," AIS Transactions on Human-Computer Interaction, vol. 15, no. 1, pp. 83–110, Mar. 2023.

B. Wu and X. Chen, "Continuance intention to use MOOCs: Integrating the technology acceptance model (TAM) and task technology fit (TTF) model," Computers in Human Behavior, vol. 67, pp. 221–232, Feb. 2017.

J. Miao and L. Ma, "Students’ online interaction, self-regulation, and learning engagement in higher education: The importance of social presence to online learning," Frontiers in Psychology, vol. 13, Oct. 2022, Art. no. 815220.

M. T. Rajeh et al., "Students’ satisfaction and continued intention toward e-learning: a theory-based study," Medical Education Online, vol. 26, no. 1, Jan. 2021, Art. no. 1961348.

Downloads

How to Cite

[1]
M. Ziz, S. Faris, and K. Mansouri, “An Integrated Model of Online Learning Success in Moroccan Higher Education: Evidence from PLS-SEM”, Eng. Technol. Appl. Sci. Res., vol. 16, no. 3, pp. 36672–36685, Jun. 2026.

Metrics

Abstract Views: 29
PDF Downloads: 12

Metrics Information