The Contribution of Institutional Factors to Course Satisfaction with Perceived Learning as a Mediator among Student in Malaysian Research Universities

Accuosti, J. (2014). Factors affecting education technology success. Proceeding of the ASEE 2014 Zone I Conference, April 3–5, 2014, University of Bridgeport, Bridgpeort, CT, USA.
Alexander, M. W., Perreault, H., Zhao, J. J., & Waldman, L. (2009). Comparing AACSB faculty and student online learning experiences: Changes between 2000 and 2006. Journal of Educators Online, 6(1), 1-20.
Alshammari, S. H., Ali, M. B., & Rosli, M. S. (2016). The Influences of Technical Support, Self Efficacy and Instructional Design on the Usage and Acceptance of LMS: A Comprehensive Review. Turkish Online Journal of Educational Technology, 15(2), 116.
Arbaugh, J. B., & Rau, B. (2007). A study of disciplinary, structural, and behavioral effect on course outcomes in online MBA courses. Decision Sciences Journal of Innovative Education, 5(1), 65–93
Baleghi-zadeh, S., Fauzi, A. M. A., Mahmud, R., & Daud, S. M. (2017). The influence of system interactivity and technical support on learning management system utilization, 9(1), 50–68.
Barbera, E., Clara, M., & Linder-Vanberschot, J. A. (2013). Factors influencing student satisfaction and perceived learning in online courses. E-learning and Digital Media, 10(3), 226-235.
Bean, B. W. (2008). Institutional, Financial, And Student Characteristics Affecting Persistence Of Scholarship Recipients: A Case Study Of First, Second, And Third Year Student Retention. Journal of Chemical Information and Modeling, 53(June), 1689–1699.
Bhuasiri, W., Xaymoungkhoun, O., Zo, H., Rho, J. J., & Ciganek, A. P. (2012). Critical success factors for e-learning in developing countries?: A comparative analysis between ICT experts and faculty. Computers & Education, 58(2), 843–855.
Boston, W., Diaz, S. R., Gibson, A. M., Ice, P., Richardson, J., & Swan, K. (2010). An exploration of the relationship between indicators of the community of inquiry framework and retention in online programs. Journal of Asynchronous Learning Networks, 14(1), 3-18.
Byrne, B. (2010). Structural Equation Modeling with AMOS: Basic Concepts, Applications, and Programming (2 ed.). New York
Caetano, R. V. A. (2007). Training transfer: the mediating role of perception of learning. Journal of European Industrial Training, 31(4), 283–296. http://doi.org/10.1108/03090590710746441
Chaney, D., Chaney, E., & Eddy, J. (2010). The context of distance learning programs in higher education: Five enabling assumptions. Online Journal of Distance Learning Administration, 13(5).
Cheung, W., & Huang, W. (2005). Proposing a framework to assess Internet usage in university education: an empirical investigation from a student’s perspective, 36(2).
Cho, J., & Yu, H. (2015). Roles of University Support for International Students in the United States?: Analysis of a Systematic Model of University Identification , Psychological Well-Being. http://doi.org/10.1177/1028315314533606
Christiana, O. O. (2014). Institutional Factors Affecting the Academic Performance of Public Administration Students in a Nigerian University. Public Administration Research, 3(2), 171–177. http://doi.org/10.5539/par.v3n2p171
Curran, M. J. (2013). Institution-Related, Instructor-Related, and Student-Related Factors That Influence Satisfaction for Online Faculty at a For-Profit Institution. ProQuest LLC.
Daniel, J. (2012). Dual-mode universities in higher education: Way station or final destination? Open Learning, 27(1), 89-95. Doi:org/10.1080 /02680513. 2012. 640791.
Dixon, M. J. (2015). Institutional factors affecting doctoral degree completion at
selected Texas public universities. Texas A&M University-Commerce.
Dzega, D., & Pietruszkiewicz, W. (2012). The Technological Advancement of LMS Systems and E-Content Software. In Higher Education Institutions and Learning Management Systems: Adoption and Standardization (pp. 219-245). IGI Global.
Embi, M. A. (2011, November). e-Learning in Malaysian institutions of higher learning: Status,
trends and challenges. In Keynote Address presented at the International Lifelong Learning Conference (ICLLL 2011), Seri Pacific Hotel, Kuala Lumpur (pp. 14-15).
Eneh, O. C. (2010). Technology transfer, adoption and integration: a review. Journal of Applied Sciences (Faisalabad), 10(16), 1814-1819.
Ferguson, J. M., & DeFelice, A. E. (2010). Length of online course and student satisfaction, perceived learning, and academic performance. The International Review of Research in Open and Distributed Learning, 11(2), 73-84.
Frick, T. W., Chadha, R., Watson, C., Wang, Y., & Green, P. (2009). College student perceptions of teaching and learning quality. Education Technology Research Development, 57, 705-720
Fornell, C.R., Larcker, D.F., (1981). Evaluating structural equation models with unobservable variables and measurement error. JMR 18 (1), 39–50
Gillet, N., Fouquereau, E., Forest, J., Brunault, P., & Colombat, P. (2012). The impact of orga- nizational factors on psychological needs and their relations with well-being. Journal of Business Psychology, 27, 437-450.
Gómez-Rey, P., Barbera, E., & Fernández-Navarro, F. (2016). The Impact of Cultural Dimensions on Online Learning. Educational Technology & Society, 19(4), 225-238.
Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E., & Tatham, R.L. (2006). Multivariate Data Analysis. New Jersey: Prentice-Hall.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis: A global perspective (7th ed.). New Jersey: Prentice-Hall
Harrington, D. (2009). Confirmatory factor analysis: Pocket guides to social work research methods. New York: Oxford University Press.
Hasan, H. F. A., Ilias, A., Rahman, R. A., & Razak, M. Z. A. (2009). Service quality and student
satisfaction: A case study at private higher education institutions. International Business Research, 1(3), 163.
Hirt, J. B., Cain, D., Bryant, B., & Williams, E. (2003). Cyberservices: What’s important and how are we doing. NASPA Journal, 40(2), 98-118.
Hu, P., & Hui, W. (2012). Examining the role of learning engagement in technology-mediated learning and its effects on learning effectiveness and satisfaction. Decision Support Systems, 53(4), 782–792
Ice, P. R. (2006). The relationship between technical support and pedagogical guidance provided to faculty and student satisfaction in online courses (pp. 1-113).
Kee, N. S., Omar, B., & Mohamed, R. (2012). Towards Student-Centred Learning?: Factors Contributing to the Adoption of E-Learn @ USM. Malaysian Journal of Distance Education, 14(2), 1–24.
Lee, S. and K. Kim. 2007. Factors affecting the implementation success of Internet- based information systems. Computers in Human Behavior 23(4): 1853–1880
Lee, S. J., Srinivasan, S., Trail, T., Lewis, D., & Lopez, S. (2011). Examining the relationship among student perception of support, course satisfaction, and learning outcomes in online learning. The Internet and Higher Education,14(3), 158-163
Maroof, D. A. (2012). Exploratory Factor Analysis. In Statistical Methods in Neuropsychology (pp. 23-34).
Marsh, G. B. (2010). An Exploratory Investigation Of The Relationship Between Institutional Characteristics And Student Retention In Public Four-Year Colleges And Universities, 61(3), 839–846. Http://Doi.Org/10.2466/Pr0.1987.61.3.839
Miller, R. B., Greene, B. A., Montalvo, G. P., Ravindran, B., & Nichols, J. D. (1996). Engagement in academic work: The role of learning goals, future consequences, pleasing others, and perceived ability. Contemporary educational psychology, 21(4), 388-422.
Milman, N. B., Posey, L., Pintz, C., Wright, K., & Zhou, P. (2015). Online master’s students’ perceptions of institutional supports and resources: Initial survey results. Journal of Asynchronous Learning Network, 19(4), 2012–2013.
Moses, P., Bakar, K. A., Mahmud, R., & Wong, S. L. (2012). ICT Infrastructure, Technical and Administrative Support as Correlates of Teachers’ Laptop Use. Procedia - Social and Behavioral Sciences, 59, 709–714. http://doi.org/10.1016/j.sbspro.2012.09.335
Nakayama, M., Mutsuura, K., & Yamamoto, H. (2014). Impact of Learner ’ s Characteristics and Learning Behaviour on Learning Performance during a Fully Online Course, 12(4), 394–408.
Neben, J. (2014). Attributes and Barriers Impacting Diffusion of Online Education at the Institutional Level, 11(1).
O’Connor, P. J. (2000). Administrative Support Of Counseling Programs. North. http://doi.org/10.16953/deusbed.74839
Ohana, M. (2012). Perceived organizational support as mediator of distributive justice and job satisfaction: The moderating role of group commitment. Journal of Applied Business Research, 28(5), 1063.
Osborne, J. W., & Costello, A. B. (2009). Best practices in exploratory factor analysis: Four
recommendations for getting the most from your analysis. Pan-Pacific Management Review, 12(2), 131-146.
Pallant, J. (2013). SPSS survival manual: A step by step guide to data analysis using IBM SPSS. New York, NY: Open University Press.
Parsons, A. M. (2008). A Delphi study of best practices of online instructional design practices in
Malaysia (Doctoral dissertation, Capella University).
Poon, J. (2013). Blended Learning: An Institutional Approach for Enhancing Students’ Learning Experiences. Merlot Jolt, 9(2), 271–290.
Quaddus, M., & Hofmeyer, G. (2007). An investigation into the factors influencing the adoption of B2B trading exchanges in small businesses. European Journal of Information Systems, 16(3), 202-215.
Romsa, K. (2012). Freshman student-faculty interactions and GPA: Predictors of retention and overall satisfaction, 73, 1254.
Rovai, A. P., & Downey, J. R. (2010). Why some distance education programs fail while others succeed in a global environment. The Internet and Higher Education, 13(3), 141-147
Rutherford, B. N., Wei, Y., Park, J., & Hur, W. (2012). Increasing job performance and reduc- ing turnover: An examination of female Chinese salespeople. Journal of Marketing Theory and Practice, 20, 423-436.
San, Ng Man (2010). Impact of service quality, satisfaction and personal factors on student retention in open distance learning institutions in Malaysia (Doctoral dissertation, Open University Malaysia).
Sánchez, R. A., & Hueros, A. D. (2010). Motivational factors that influence the acceptance of Moodle using TAM. Computers in human behavior, 26(6), 1632-1640.
Selim, H. M. (2007). Critical success factors for e-learning acceptance: Confirmatory factor models. Computers & Education, 49(2), 396–413. http://doi.org/ 10.1016/j.compedu.2005.09.004
Sharma, S. K., & Chandel, J. K. (2014). Students ’ acceptance and satisfaction of learning through course websites, 7(2), 152–166.
Sickler, S. L. (2013). Undergraduate Student Perceptions Of Service Quality As A Predictor Of Student Retention In The First Two Years (Doctoral dissertation, Bowling Green State University).
Smith, A. (2004). “Off-campus support” in distance learning–how do our students define quality?. Quality Assurance in Education, 12(1), 28-38.
Song, H. (2004). A study of selected factors related to satisfaction among students enrolled in online courses at Southwestern Baptist Theological Seminary (pp. 1-168).
Taha, M., & El-Hajjar, S. (2012). Modeling Critical Factors Influencing the Implementation of E-Learning Related Studies of E-Learning, 283–293.
Tickle, B. R., Chang, M., & Kim, S. (2011). Administrative support and its mediating effect on US public school teachers. Teaching and Teacher Education, 27(2), 342-349.
Urbach, N., Smolnik, S., & Riempp, G. (2010). An empirical investigation of employee portal success. Journal of Strategic Information Systems, 19(3), 184–206.
Wang, J., & Wang, X. (2012). Structural equation modelling: Applications using M plus. West Sussex: Wiley.

Amoozegar, A., Daud, S. M., Mahmud, R., & Jalil, H. A. (2017). The Contribution of Institutional Factors to Course Satisfaction with Perceived Learning as a Mediator among Student in Malaysian Research Universities. International Journal of Academic Research in Business and Social Sciences, 7(14), 206-223.

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