Title: A systemic model for measuring the effectiveness of virtual learning programs
Authors: Ayham Fayyoumi; Gianluca Elia
Al Imam Mohammad ibn Saud Islamic University (IMSIU), College of Computer and Information Sciences, Riyadh 11432, Saudi Arabia
Department of Engineering for Innovation, Campus Ecotekne, University of Salento, Via Monteroni s.n. 73100 Lecce, Italy
Abstract: Although many universities and corporations invest on relevant resources in virtual learning programs, methods and tools for evaluating their success have not been consolidated. This article conducts an extensive literature review and identifies the measures of effectiveness of virtual learning programs and their influencing factors. The key contribution of this study is the proposed systemic model that can be operationally used to measure the effectiveness of virtual learning programs. The model identifies the determinants of effectiveness, namely, 'learner performance' and 'learner satisfaction and confidence', and the factors that influence significantly them. The model has been cross-checked by a panel of field experts and validated through factor and regression analyses involving a sample of university students. Lastly, the model is operationalised using a tool that guides HR managers and practitioners in assessing the effectiveness of their virtual learning programs.
Keywords: virtual learning effectiveness; e-learning; assessment measures; performance evaluation; evaluation tools; factor analysis; regression analysis; electronic learning; online learning; literature review; higher education; learner performance; learner satisfaction; learner confidence; university students; virtual learning environments; VLE.
Int. J. of Information Technology and Management, 2015 Vol.14, No.4, pp.305 - 332
Date of acceptance: 31 May 2014
Available online: 21 May 2015