Fig. 1. Original UTAUT Model[12]
Fig. 2. Revised Model of DeLone & McLean[13]
Fig. 3. Integrated Research Model
Table 1. Measurements Construct and Items
Table 2. Reliability and Discriminant Validity test
Table 3. Structural Model fit test
Table 4. The Summary of hypothesis testing
References
- S. Siritongthaworn, D. Krairit, N. J. Dimmitt & H. Paul. (2006). The study of e-Learning technology implementation: a preliminary investigation of universities in Thailand. Education and Information Technologies, 11(2), 137-160. https://doi.org/10.1007/s11134-006-7363-8
- A, Gronlund & Y. M. Islam. (2010). A mobile e-Learning environment for developing countries: the Bangladesh virtual interactive classroom. Information Technology for Development, 16(4), 244-259. https://doi.org/10.1080/02681101003746490
- K. Shraim, & Z. Khlaif. (2010). An e-Learning approach to secondary education in Palestine: opportunities and challenges. Information Technology for Development, 16(3), 159-173. https://doi.org/10.1080/02681102.2010.501782
- R. Santhanam, S. Sasidharan & J. Webster. (2008). Using self-regulatory learning to enhance e-Learning-based information technology training. Information Systems Research, 19(1), 26-47. https://doi.org/10.1287/isre.1070.0141
- J. Kim, J. Jung, J Jo& H. Lim. (2019). A Study on the Effectiveness of e-learning video class using the online learning judgement system : Focused on the social studies classes in Elementary school. Journal of the Korea Convergence Society, 10(2), 141-148 https://doi.org/10.15207/JKCS.2019.10.2.141
- Y. M. Son & B. S. Jung. (2015). Convergence Development of Video and E-learning System for Education Disabled Students. Journal of the Korea Convergence Society, 6(4), 113-119. https://doi.org/10.15207/JKCS.2015.6.4.113
- H. D. Lee & M. W. Nam. (2018). The Analysis of Academic Achievement based on Spatio-Temporal Data Relate to e-Learning Patterns of University e-Learning Learners. Journal of Convergence for Information Technology, 8(4), 247-253. https://doi.org/10.22156/CS4SMB.2018.8.4.247
- T. I. Han. (2015). A Study on the Technical Evaluation of the Quality Certification for e-Learning Contents. Journal of Digital Convergence, 13(1), 49-66. https://doi.org/10.14400/JDC.2015.13.1.49
- Ministry of Youth and ICT (2012). Rwanda ICT Sector Profile : Measuring ICT sector performance and Tracking ICT for Development (ICT4D) towards Rwanda Socio-Economic Transformation. Kigali.
- R. Agarwal & J. Prasad. (1998). The antecedents and consequences of user perceptions in information technology adoption. Decision Support Systems, 22, 15-29. https://doi.org/10.1016/S0167-9236(97)00006-7
- S. Taylor & P. A. Todd. (1995). Understanding Information Technology Usage: A Test of Competing Models. Information Systems Research, 6(4), 144-176. https://doi.org/10.1287/isre.6.2.144
- V. Venkatesh, M. G. Morris, G. B. Davis & F. D. Davis. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540
- W. H. DeLone & E. R. McLean. (2003). The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. Journal of Management Information Systems, 19(4), 9-30. https://doi.org/10.1080/07421222.2003.11045748
- C. H. Jung & S. H. Namn. (2014). Cloud Computing Acceptance at Individual Level Based on Extended UTAUT. Journal of Digital Convergence, 12(1), 287-294. https://doi.org/10.14400/JDPM.2014.12.1.287
- M. R. Eom, W. J. Choi & Y. H. Song. (2018). Exploring the Educational Needs of Learning Supporting Program on the Students' Perception of Current Competencies and Important Competencies. Journal of Convergence for Information Technology, 8(3), 175-181. https://doi.org/10.22156/CS4SMB.2018.8.3.175
- X. Zhao, A. S. Mattila & L. S. E. Tao. (2008). The role of post-training self-efficacy in customers' use of self-service technologies. International Journal of Service Industry Management, 19(4), 492-505. https://doi.org/10.1108/09564230810891923
- W. H. Delone & E. R. Mclean. (2003). The DeLone and McLean model of information systems success: Aten-year update. Journal of Management Information Systems, 19(4), 9-30. https://doi.org/10.1080/07421222.2003.11045748
- A. Bhattacherjee. (2001). An empirical analysis of the antecedents of electronic commerce service continuance. Decision Support Systems, 32(2), 201-214. https://doi.org/10.1016/S0167-9236(01)00111-7
- H. C. Song. (2018). A Study of Factors Affecting on m-learning Satisfaction based on UTAUT. Journal of Digital Convergence, 16(7), 123-129. https://doi.org/10.14400/JDC.2018.16.7.123
- U. Konradta, T. Christophersena & U. Schaeffer-Kuelzb. (2006). Predicting user satisfaction, strain and system usage of employee self-services. International Journal of Human-Computer Studies, 64(11), 1141-1153. https://doi.org/10.1016/j.ijhcs.2006.07.001
- J. F. Jr. Hair, R. E. Anderson, R. L. Tatham & W. C. Black. (1998). Multivariate Data Analysis. (5th Edition). Upper Saddle River, NJ: Prentice Hall.
- H. S. Suh & S. H. Park. (2011). Study on the Innovation Acceptance Characteristics for Digital Convergence Products. Journal of Digital Convergence, 9(4), 51-67. https://doi.org/10.14400/JDPM.2011.9.4.051
- K. K. Seo. (2016). Analysis of use intention of mobile cloud service using a convergence technology acceptance model. Journal of Digital Convergence, 14(12), 105-110. https://doi.org/10.14400/JDC.2016.14.12.105
- T. D. Thomas, L. Singh & K. Gaffar. (2013). The utility of the UTAUT model in explaining mobile learning adoption in higher education in Guyana. JEDICT, 9(3), 71-85.
- J. M. Kihoro, P. A. Oyier, B. M. Kiula, J. M. Wafula & R. W. Ibukah. (2013). E-Learning Eco-system for Mobility and Effective Learning: A Case of JKUAT IT Students. In IST-Africa 2013 Conference, 1-9.