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References
Ajjan H, Hartshorne R (2008). Investigating faculty decisions to adopt Web 2.0 technologies: Theory and empirical tests. The Internet and Higher Education 11(2):71-80. |
|
Ajzen I (1991). The theory of planned behaviour. Organizational Behaviour and Human Decision Processes 50(2):179-211. |
|
Al-Azawei A, Parslow P, Lundqvist K (2016). Barriers and opportunities of e-learning implementation in Iraq: A case of public universities. The International Review of Research in Open and Distributed Learning 17(5). |
|
Algahtani AF (2011). Evaluating the effectiveness of the e-learning experience in some universities in Saudi Arabia from male students' perceptions. PhD thesis, Durham University, UK. |
|
Alhomod S, Shafi MM (2013). Success Factors of E-Learning Projects: A Technical Perspective. Turkish Online Journal of Educational Technology 12(2):247-253. |
|
Al-Kuwaiti A (2014). The perception of academic staff towards e-learning dental colleges in Saudi Arabia. International Journal of Medicine 504:510. |
|
Ahmadu Bello University (2019). History of Ahmadu Bello University. (Accessed 03 September 2020). Available at: |
|
Arkorful V, Abaidoo N (2015). The role of e-learning, advantages and disadvantages of its adoption in higher education. International Journal of Instructional Technology and Distance Learning 12(1):29-42. |
|
Ajzen I, Fishbein M (1975). A Bayesian analysis of attribution processes. Psychological bulletin 82(2):261. |
|
Bagozzi RP (2007). The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the Association for Information Systems 8(4):244-254. |
|
Baker WE, Al-Gahtani SS, Hubona GS (2007). The effects of gender and age on new technology implementation in a developing country: Testing the theory of planned behaviour (TPB). Information Technology and People 20(4):352-375. |
|
Bandura A (1977). Self-efficacy: toward a unifying theory of behavioural change. Psychological Review 84(2):191. |
|
Bandura A (1982). Self-efficacy mechanism in human agency. American Psychologist 37(2):122-147. |
|
Bandura A, Adams NE, Beyer J (1977). Cognitive processes mediating behavioral change. Journal of Personality and Social Psychology 35(3):125-139. |
|
Bandura A, Adams NE, Hardy AB (1980). Tests of the generality of self-efficacy theory. Cognitive Therapy and Research 4(1):39-66. |
|
Barron JM, Gjerde KP (1997). Peer pressure in an agency relationship. Journal of Labor Economics 15(2):234-254. |
|
Bice H, Tang H (2022). Teachers' beliefs and practices of technology integration at a school for students with dyslexia: A mixed methods study. Education and Information Technologies 27(7):10179-10205. |
|
Brown CA, Cooney TJ (1982). Research on Teacher Education: A Philosophical Orientation in Some Contemporary Problems in Mathematics Education. Journal of Research and Development in Education, Athens Ga 15(4):13-18. |
|
Cheon J, Lee S, Crooks SM, Song J (2012). An investigation of mobile learning readiness in higher education based on the theory of planned behavior. Computers & Education 59(3):1054-1064. |
|
Chin WW (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research 295(2):295-336. |
|
Chu TH, Chen YY (2016). With good we become good: Understanding e-learning adoption by theory of planned behaviour and group influences. Computers and Education 92:37-52. |
|
Cohen J (1988). Statistical power analysis for the behavioral sciences. 2nd ed. Hillsdale, NJ: Erlbaum. |
|
Davis FD (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly pp. 319-340. |
|
Davis FD, Bagozzi RP, Warshaw PR (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science 35(8):982-1003. |
|
de Vries H, Dijkstra M, Kuhlman P (1988). Self-efficacy: the third factor besides attitude and subjective norm as a predictor of behavioural intentions. Health Education Research 3(3):273-282. |
|
Engelbrecht E (2003). A look at e-learning models: investigating their value for developing an e-learning strategy. Progressio 25(2):38-47. |
|
Fang Z (1996). A review of research on teacher beliefs and practices. Educational Research 38(1):47-65. |
|
Fishbein M, Ajzen I (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley. |
|
Fornell C, Larcker DF (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research 18(1):39-50. |
|
Folorunso O, Ogunseye OS, Sharma SK (2006). An exploratory study of the critical factors affecting the acceptability of e-learning in Nigerian universities. Information Management and Computer Security Journal 14(5):496-505. |
|
Gatzioufa P, Saprikis V (2022). "A literature review on users' behavioral intention toward chatbots' adoption", Applied Computing and Informatics, Vol. ahead-of-print No. ahead-of-print. |
|
Groves MM, Zemel PC (2000). Instructional technology adoption in higher education: An action research case study. International Journal of Instructional Media 27(1):57. |
|
Hair JF, Black WC, Babin BJ, Anderson RE (2014). Multivariate data analysis. 7th Edition. Edinburg: Pearson. |
|
Henseler J, Ringle CM, Sarstedt M (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the academy of marketing science 43:115-135. |
|
Henseler J, Hubona G, Ray PA (2016). Using PLS path modeling in new technology research: updated guidelines. Industrial Management and Data Systems 116(1):2-20. |
|
Henseler J, Ringle CM, Sinkovics RR (2009). The use of partial least squares path modeling in international marketing. In New Challenges to International Marketing. Emerald Group Publishing Limited. |
|
Hu LT, Bentler PM (1999). Cut off criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal 6(1):1-55. |
|
Johnson JB, Reddy P, Chand R, Naiker M (2021). Attitudes and awareness of regional Pacific Island students towards e-learning. International Journal of Educational Technology in Higher Education 18(1):1-20. |
|
Kandel E, Lazear EP (1992). Peer pressure and partnerships. Journal of Political Economy 100(4):801-817. |
|
Kanyip BP (2013). Admission Crisis in Nigerian Universities: The challenges youth and parents face in seeking admission. PhD Thesis, Seton Hall University, NJ. |
|
King E, Boyatt R (2015). Exploring factors that influence adoption of e?learning within higher education. British Journal of Educational Technology 46(6):1272-1280. |
|
Kisanga D, Ireson G (2015). Barriers and strategies on the adoption of e-learning in Tanzanian higher learning institutions: Lessons for adopters. International Journal of Education and Development using Information and Communication Technology 11(2):126-137. |
|
Lee YC (2006). An empirical investigation into factors influencing the adoption of an e-learning system. Online Information Review 30(5):517-541. |
|
Liao HL, Lu HP (2008). The role of experience and innovation characteristics in the adoption and continued use of e-learning websites. Computers and Education 51(4):1405-1416. |
|
Lu J, Yu CS, Liu C (2005). Facilitating conditions, wireless trust and adoption intention. Journal of Computer Information Systems 46(1):17-24. |
|
Mani D, Barua A, Whinston A (2010). An empirical analysis of the impact of information capabilities design on business process outsourcing performance. MIS Quarterly 34(1):39-62. |
|
Marginson S (2016). The worldwide trend to high participation higher education: dynamics of social stratification in inclusive systems. Higher Education 72:413-434. |
|
Mathieson K (1991). Predicting user intentions: Comparing the technology acceptance model with the theory of planned behaviour. Information Systems Research 2(3):173-191. |
|
Mtebe JS, Raisamo R (2014). Investigating perceived barriers to the use of open educational resources in higher education in Tanzania. The International Review of Research in Open and Distributed Learning 15(2). |
|
Ndubisi N (2006). Factors of online learning adoption: A comparative juxtaposition of the theory of planned behaviour and the technology acceptance model. International Journal on E-learning 5(4):571-591. |
|
Ndubisi NO (2004). Factors influencing e-learning adoption intention: Examining the determinant structure of the decomposed theory of planned behaviour constructs. In Proceedings of the 27th Annual Conference of HERDSA pp. 252-262. |
|
Nwagwu WN (2020). E-learning readiness of universities in Nigeria - what are the opinions of the academic staff of Nigeria's premier university? Education and Information Technologies 25:1343-1370. |
|
Obi OA, Eze SE, Ogochukwu NW (2020). E-learning: A Trend for Effective TVET Sustainability in Nigeria. Vocational and Technical Education Journal 2(1):195-201. |
|
Odegbesan OA, Charles A, Aderonke AO, Adeoba TF (2019). The prospects of adopting e-learning in the Nigerian education system: a case study of Covenant University. In Journal of Physics: Conference Series 1299(1):012058. |
|
Oluwalola FK, Omotayo AA (2019). Availability and utilization of e-learning facilities for management and business courses in universities in Kwara State, Nigeria. Nigerian Journal of Business Education 6(2):346-357. |
|
Omeje HO, Orji CT, Okereke GK (2019). Assessing the extent of e-learning utilization by industrial technical education lecturers for effective teaching and learning in universities. Journal of Engineering and Applied Sciences 14(11):3790-3796. |
|
Ong AKS, Prasetyo YT, Borja AKFP, Hosillos FA, Perez YFN, Robas KP, Persada SF, Nadlifatin R (2023). Factors affecting revisiting behavior to Taal Volcano during the post recovery 2020 eruption: An extended theory of planned behavior approach. International Journal of Disaster Risk Reduction. P 103552. |
|
Pajares MF (1992). Teachers' beliefs and educational research: Cleaning up a messy construct. Review of Educational Research 62(3):307-332. |
|
Park SY (2009). An Analysis of the Technology Acceptance Model in Understanding University Students' Behavioral Intention to Use e-Learning. Educational Technology and Society 12(3):150-162. |
|
Pehkonen E, Pietilä A (2003, February). On relationships between beliefs and knowledge in mathematics education. In Proceedings of the CERME-3 (Bellaria) meeting Pp. 1-8. |
|
Rabin E, Kalman YM, Kalz M (2020). The cathedral's ivory tower and the open education bazaar-catalyzing innovation in the higher education sector. Open Learning: The Journal of Open, Distance and e-Learning 35(1):82-99. |
|
Rakhyoot WAA (2017). Institutional and individual barriers of e-learning adoption in higher education in Oman: academics' perspectives. PhD Thesis, University of Strathclyde, UK. |
|
Renda dos Santos LM, Okazaki S (2016). Planned e-learning adoption and occupational socialisation in Brazilian higher education. Studies in Higher Education 41(11):1974-1994. |
|
Richardson V, Anders P, Tidwell D, Lloyd C (1991). The relationship between teachers' beliefs and practices in reading comprehension instruction. American Educational Research Journal 28(3):559-586. |
|
Rogers EM (1983). Diffusion of innovations. The Free Press. |
|
Rokeach M (1972). Beliefs, attitudes and values: A theory of organization and change. Jossey-Bass. |
|
Sadaf A, Newby TJ, Ertmer PA (2012). Exploring factors that predict pre-service teachers' intentions to use Web 2.0 technologies using decomposed theory of planned behaviour. Journal of Research on Technology in Education 45(2):171-196. |
|
Sanga C, Magesa MM, Chingonikaya E, Kayunze KA (2013). Can e-learning promote participation of female students in STEM disciplines in higher learning institutions of Tanzania? International Journal of Education and Development using ICT 9(3). |
|
Sheppard BH, Hartwick J, Warshaw PR (1988). The theory of reasoned action: A meta-analysis of past research with recommendations for modifications and future research. Journal of Consumer Research 15(3):325-343. |
|
Shih YY, Fang K (2004). The use of a decomposed theory of planned behaviour to study Internet banking in Taiwan. Internet Research 14(3):213-223. |
|
Sife A, Lwoga E, Sanga C (2007). New technologies for teaching and learning: Challenges for higher learning institutions in developing countries. International Journal of Education and Development using ICT 3(2):57-67. |
|
Smith LKC, Fowler SA (1984). Positive peer pressure: The effects of peer monitoring on children's disruptive behaviour. Journal of Applied Behaviour Analysis 17(2):213-227. |
|
Stipek DJ, Givvin KB, Salmon JM (2001). Teachers' beliefs and practices related to mathematics instruction. Teaching and Teacher Education 17(2):213-226. |
|
Tandon U, Mittal A, Bhandari H, Bansal K (2022). E-learning adoption by undergraduate architecture students: Facilitators and inhibitors. Engineering, Construction and Architectural Management 29(10):4287-4312. |
|
Taylor S, Todd P (1995a). Decomposition and crossover effects in the theory of planned behaviour: A study of consumer adoption intentions. International Journal of Research in Marketing 12(2):137-155. |
|
Taylor S, Todd P (1995b). Understanding information technology usage: A test of competing models. Information Systems Research 6(2):144-176. |
|
Teo T (2009). 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 40(1):89-109. |
|
Teo T (2010). Examining the influence of subjective norm and facilitating conditions on the intention to use technology among pre-service teachers: A structural equation modeling of an extended technology acceptance model. Asia Pacific Education Review 11(2):253-262. |
|
Teo T, Lee CB, Chai CS (2008). Understanding pre-service teachers' computer attitudes: Applying and extending the Technology Acceptance Model. Journal of Computer Assisted Learning 24(2):128-143. |
|
Theodorou A, Hatzithomas L, Fotiadis T, Diamantidis A, Gasteratos A (2023). The impact of the COVID-19 pandemic on online consumer behavior: Applying the theory of planned behavior. Sustainability 15(3):2545. |
|
University of Lagos (n.d.). About us. (Accessed 03 September 2020). Available at: |
|
Unwin T, Kleessen B, Hollow D (2010). Digital learning management systems in Africa: myths and realities. Open Learning: The Journal of Open, Distance and E-Learning 25(1):5-23. |
|
Urbach N, Ahlemann F (2010). Structural equation modelling in information systems research using partial least squares. Journal of Information Technology Theory and Application 11(2):5-40. |
|
Venkatesh V, Davis FD (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences 27(3):451-481. |
|
Venkatesh V, Morris MG, Davis GB, Davis FD (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly pp. 425-478. |
|
Warshaw PR, Davis FD (1985). Disentangling behavioural intention and behavioural expectation. Journal of Experimental Social Psychology 21(3):213-228. |
|
Williams JB, Goldberg M (2005). The evolution of e-learning, balance, fidelity, mobility: Maintaining the momentum? 725-728. Proceedings of the 22nd ASCILITE Conference Brisbane, 4-7 December 2005. Queensland University of Technology, Department of Teaching and Learning Support Services. |
|
Yakubu MN, Dasuki SI (2019). Factors affecting the adoption of e-learning technologies among higher education students in Nigeria: A structural equation modelling approach. Information Development 35(3):1-11. |
|
Yuen AH, Ma WW (2008). Exploring teachers' acceptance of e?learning technology. Asia?Pacific Journal of Teacher Education 36(3):229-243. |
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