Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32451
Teachers’ Continuance Intention Towards Using Madrasati Platform: A Conceptual Framework

Authors: Fiasal Assiri, Joanna Wincenciak, David Morrison-Love


With the rapid spread of the COVID-19 pandemic, the Saudi government suspended students from going to school to combat the outbreak. As e-learning was not applied at all in schools, online teaching and learning have been revived in Saudi Arabia by providing a new platform called ‘Madrasati’. The Decomposed Theory of Planned Behaviour (DTPB) is used to examine individuals’ intention behaviour in many fields. Nevertheless, the factors that affect teachers’ continuance intention of the Madrasati platform have not yet been investigated. The purpose of this paper is to present a conceptual model in light with DTPB. To enhance the predictability of the model, the study incorporates other variables including learning content quality and interactivity as sub-factors under the perceived usefulness, students and government influences under the subjective norms, and technical support and prior e-learning experience under the perceived behavioural control. The model will be further validated using a mixed methods approach. Such findings would help administrators and stakeholders to understand teachers’ needs and develop new methods that might encourage teachers to continue using Madrasati effectively in their teaching.

Keywords: Madrasati, Decomposed Theory of Planned Behaviour, continuance intention, attitude, subjective norms, perceived behavioural control.

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[1] UNESCO, “Global Education Coalition,” 2020. (accessed Feb. 27, 2022).
[2] Y. A. Alshehri, N. Mordhah, S. Alsibiani, S. Alsobhi, and N. Alnazzawi, “How the Regular Teaching Converted to Fully Online Teaching in Saudi Arabia during the Coronavirus COVID-19,” Creative Education, vol. 11, no. 07, pp. 985–996, 2020, doi: 10.4236/ce.2020.117071.
[3] MoE, “Ministry of Education,” 2021. (accessed Nov. 27, 2021).
[4] A. Masmali and F. Alghamdi, “Factors Influencing Teachers’ Continuation of Online Learning in Elementary Schools,” International Education Studies, vol. 14, no. 12, p. 31, Nov. 2021, doi: 10.5539/ies.v14n12p31.
[5] A. Bhattacherjee, “Understanding Information Systems Continuance: An Expectation-Confirmation Model,” 2001.
[6] M. Limayenm, S. Gabriele Hirt, C. M. Cheung, S. Gabriele, M. Limayem, and C. MKCheung, “Habit in the Context of IS Continuance: Theory Extension and Scale Development,” ECIS 2003 Proceedings, 2003, (Online). Available:
[7] Okaz, “«التعليم»: استمرار «منصتي» في تقديم التكليفات واستثمار الحاستين - أخبار السعودية,” 2021. (accessed Mar. 21, 2022).
[8] W. Shishah, “Usability Perceptions of the Madrasati Platform by Teachers in Saudi Arabian Schools,” IJACSA) International Journal of Advanced Computer Science and Applications, vol. 12, no. 8, 2021.
[9] E. A. Alkinani and A. I. A. Alzahrani, “Evaluating the Usability and Effectiveness of Madrasati Platforms as a Learning Management System in Saudi Arabia for Public Education,” IJCSNS International Journal of Computer Science and Network Security, vol. 21, no. 6, pp. 275–285, 2021, doi: 10.22937/IJCSNS.2021.21.6.36.
[10] Madrasati, “Madrasati,” 2020. (accessed Nov. 27, 2021).
[11] B. Aldossry, “Evaluating the Madrasati Platform for the Virtual Classroom in Saudi Arabian Education during the Time of COVID-19 Pandemic,” European Journal of Open Education and E-learning Studies, vol. 6, no. 1, Mar. 2021, doi: 10.46827/ejoe.v6i1.3620.
[12] S. Alalwani, “Parents’ Perspectives of Distance Education during Crises: The Benefits and Disadvantages,” Journal of Educational and Social Research, vol. 12, no. 2, pp. 152–162, Mar. 2022, doi: 10.36941/jesr-2022-0041.
[13] M. H. Alqahtani, “Post pandemic Era: English Language Teachers’ Perspectives on Using the Madrasati E-Learning Platform in Saudi Arabian Secondary and Intermediate Schools,” World Journal of English Language, vol. 12, no. 2, pp. 102–102, Mar. 2022, doi: 10.5430/wjel.v12n2p102.
[14] M. A. Almaiah et al., “Explaining the Factors Affecting Students’ Attitudes to Using Online Learning (Madrasati Platform) during COVID-19,” vol. 11, no. 7, 2022, doi: 10.3390/electronics11070973.
[15] F. O. A. Alubthane, “Saudi School Education During the COVID-19 Pandemic: The Madrasati Platform,” Scientific Journal of King Faisal University Basic and Applied Sciences, vol. 22, no. 2, pp. 316–324, 2021, doi: 10.37575/h/edu/210026.
[16] W. A. Alsalim, “Primary School Teachers Adaptation towards ‘Madrasati’ Elearning Platform during Covid-19 Crisis,” International Journal of Educational Sciences, vol. 32, no. 1–3, pp. 86–94, Jan. 2021, doi: 10.31901/24566322.2021/32.1-3.1168.
[17] A. Bakarman and N. Almezeini, “Factors Influencing Students’ Acceptance of E-learning in Primary and Secondary school in Saudi Arabia. In part of the Multi Conference on Computer Science and Information Systems 2021,” International Conference e-Learning, p. 23, 2021.
[18] A. R. Khanfar, “Distance Learning Entrepreneursdhip Education in the Time of COVID-19,” Journal of Entrepreneurship Education, vol. 23, no. 1, 2020.
[19] W. Ghaban, “Can games and gamification improve online learners’ outcomes and satisfaction on the Madrasati platform in Saudi Arabia?,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2021, vol. 12790 LNCS, pp. 189–200. doi: 10.1007/978-3-030-77414-1_14.
[20] F. M. Alqraini and K. N. Alasim, “Distance Education for d/Deaf and Hard of Hearing Students during the COVID-19 Pandemic in Saudi Arabia: Challenges and Support,” Research in Developmental Disabilities, vol. 117, Oct. 2021, doi: 10.1016/j.ridd.2021.104059.
[21] M. Alasmari, “The Attitudes of Public-School Teachers towards E-learning in Saudi Arabia,” Arab World English Journal, no. 2, pp. 245–257, Jan. 2022, doi: 10.24093/awej/covid2.16.
[22] H. M. Alwahoub, M. N. Azmi, and N. J. Jomaa, “Teachers’ and Students’ Perceptions of E-Learning Integration in the Primary Schools of Saudi Arabia,” 2020. (Online). Available:
[23] S. Albugami and V. Ahmed, “Success factors for ICT implementation in Saudi secondary schools: From the perspective of ICT directors, head teachers, teachers and students,” 2015.
[24] S. Taylor and P. Todd, “Decomposition and crossover effects in the theory of planned behavior: A study of consumer adoption intentions,” Intern. J. of Research in Marketing, vol. 12, no. 2, pp. 137–155, 1995.
[25] P. Legris, J. Ingham, and P. Collerette, “Why do people use information technology? A critical review of the technology acceptance model,” Information and Management, vol. 40, no. 3, pp. 191–204, 2003, doi: 10.1016/S0378-7206(01)00143-4.
[26] F. D. Davis, “Perceived usefulness, perceived ease of use, and user acceptance of information technology,” MIS Quarterly: Management Information Systems, vol. 13, no. 3, pp. 319–340, 1989, doi: 10.2307/249008.
[27] I. Ajzen, “The theory of planned behavior,” Organizational Behavior and Human Decision Processes, vol. 50, no. 2, pp. 179–211, 1991.
[28] G. C. Moore and I. Benbasat, “Development of an instrument to measure the perceptions of adopting an information technology innovation,” Information Systems Research, vol. 2, no. 3, 1991, doi: 10.1287/isre.2.3.192.
[29] M.-C. Lee, “Explaining and predicting users’ continuance intention toward e-learning: An extension of the expectation-confirmation model,” Computers & Education, vol. 54, no. 2, pp. 506–516, 2010, doi: 10.1016/j.compedu.2009.09.002.
[30] V. Terzis and A. A. Economides, “The acceptance and use of computer based assessment,” Computers & Education, vol. 56, no. 4, pp. 1032–1044, 2011, doi: 10.1016/j.compedu.2010.11.017.
[31] J. Cheon, S. Lee, S. M. Crooks, and J. Song, “An investigation of mobile learning readiness in higher education based on the theory of planned behavior,” Computers & Education, vol. 59, no. 3, pp. 1054–1064, 2012, doi: 10.1016/j.compedu.2012.04.015.
[32] S.-J. Hong, J. Y. L. Thong, and Y. Tam, “Understanding continued information technology usage behavior: A comparison of three models in the context of mobile internet,” Decision Support Systems, vol. 42, no. 3, pp. 1819–1834, 2006, doi: 10.1016/j.dss.2006.03.009.
[33] M.-H. Hsu, C.-H. Yen, C.-M. Chiu, C.-M. Chang, R. O. C. Taiwan, and P. Zhang, “A longitudinal investigation of continued online shopping behavior: An extension of the theory of planned behavior,” Int. J. Human-Computer Studies, vol. 64, no. 2, p. 811, 2006, doi: 10.1016/j.ijhcs.2006.04.004.
[34] M. Fishbein and I. Ajzen, Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. 1975.
[35] H. Ajjan and R. Hartshorne, “Investigating faculty decisions to adopt Web 2.0 technologies: Theory and empirical tests,” Internet and Higher Education, vol. 11, no. 2, 2008, doi: 10.1016/j.iheduc.2008.05.002.
[36] T. Teo, “Examining the intention to use technology among pre-service teachers: an integration of the Technology Acceptance Model and Theory of Planned Behavior Examining the intention to use technology among pre-service teachers: an integration of the Technology Acceptance Model and Theory of Planned Behavior,” Interactive Learning Environments, vol. 20, no. 1, pp. 3–18, 2010, doi: 10.1080/10494821003714632.
[37] A. Chavoshi and H. Hamidi, “Social, individual, technological and pedagogical factors influencing mobile learning acceptance in higher education: A case from Iran,” Telematics and Informatics, vol. 38, pp. 133–165, May 2019, doi: 10.1016/J.TELE.2018.09.007.
[38] Y.-M. Cheng, “Effects of quality antecedents on e-learning acceptance,” Internet Research, vol. 22, no. 3, pp. 361–390, 2012, doi: 10.1108/10662241211235699.
[39] M. A. Almaiah, M. A. Jalil, and M. Man, “Extending the TAM to examine the effects of quality features on mobile learning acceptance,” J. Comput. Educ, vol. 3, no. 4, pp. 453–485, 2016, doi: 10.1007/s40692-016-0074-1.
[40] C. Smarkola, “Technology Acceptance Predictors among Student Teachers and Experienced Classroom Teachers,” J. Educational Computing Research, vol. 37, no. 1, pp. 65–82, 2007.
[41] L. G. Tornatzky and K. J. Klein, “Innovation Characteristics and Innovation Adoption-Implementation: A Meta-Analysis of Findings,” IEEE Transactions on Engineering Management, vol. EM-29, no. 1, 1982, doi: 10.1109/TEM.1982.6447463.
[42] W. Sugar, F. Crawley, and B. Fine, “Examining Teachers’ Decisions to Adopt New Technology,” Source: Journal of Educational Technology & Society, vol. 7, no. 4, pp. 201–213, 2004, doi: 10.2307/jeductechsoci.7.4.201.
[43] T. Teo, “The impact of subjective norm and facilitating conditions on pre-service teachers’ attitude toward computer use: A structural equation modeling of an extended technology acceptance model,” Journal of Educational Computing Research, vol. 40, no. 1, pp. 89–109, Jan. 2009, doi: 10.2190/EC.40.1.d.
[44] A. Sadaf, T. J. Newby, and P. A. Ertmer, “Exploring Factors that Predict Preservice Teachers’ Intentions to Use Web 2.0 Technologies Using Decomposed Theory of Planned Behavior,” Journal of Research on Technology in Education, vol. 45, no. 2, pp. 171–196, 2012, doi: 10.1080/15391523.2012.10782602.
[45] A. Albugami, S. Albugami, and V. Ahmed, “Towards successful implementation of ICT in Saudi schools (literature review).,” 2015.
[46] C. F. Goh, P. K. Hii, O. K. Tan, and A. Rasli, “View of Why do University Teachers use E-Learning Systems?,” The International Review of Research in Open and Distributed Learning, vol. 21, no. 2, pp. 136–155, 2020.
[47] T. Teo, M. Zhou, J. Noyes, and T. Teo timothyteo, “Teachers and technology: development of an extended theory of planned behavior,” Education Tech Research Dev, vol. 64, pp. 1033–1052, 2016, doi: 10.1007/s11423-016-9446-5.
[48] H. Ajjan and R. Hartshorne, “Investigating faculty decisions to adopt Web 2.0 technologies: Theory and empirical tests,” Internet and Higher Education, vol. 11, no. 2, pp. 71–80, 2008, doi: 10.1016/J.IHEDUC.2008.05.002.
[49] A. Ejaz, “Analysis of motivational factors influencing acceptance of technologically-enhanced personal, academic and professional development portfolios,” 2014.
[50] I. Zalah, “Factors That Influence Saudi Secondary Teachers’ Acceptance and Use of E-Learning Technologies,” 2018.
[51] R. Rabiman, M. Nurtanto, and N. Kholifah, “Design and development E-learning system by learning management system (LMS) in vocational education,” International Journal of Scientific and Technology Research, vol. 9, no. 1, pp. 1059–1063, 2020.
[52] S. A. Raza, W. Qazi, K. A. Khan, and J. Salam, “Social Isolation and Acceptance of the Learning Management System (LMS) in the time of COVID-19 Pandemic: An Expansion of the UTAUT Model,” Journal of Educational Computing Research, vol. 59, no. 2, pp. 183–208, Apr. 2021, doi: 10.1177/0735633120960421.
[53] S. Y. Park, M. W. Nam, and S. B. Cha, “University students’ behavioral intention to use mobile learning: Evaluating the technology acceptance model,” British Journal of Educational Technology, vol. 43, no. 4, pp. 592–605, 2012, doi: 10.1111/j.1467-8535.2011.01229.x.
[54] R. Donnelly and F. McSweeney, Applied e-learning and e-teaching in higher education, 1st ed. United States of America: Information Science Reference (an imprint of IGI Global), 2008.
[55] O. Sulaymani, A. R. Pratama, M. Alshaikh, and A. Alammary, “The Effects of Previous Experience and Self Efficacy on the Acceptance of e-Learning Platforms Among Younger Students in Saudi Arabia,” Contemporary Educational Technology, vol. 14, no. 2, p. 349, Jan. 2022, doi: 10.30935/cedtech/11524.