THE E-LEARNING SYSTEM SUCCESS: ASSESSMENT OF THE SERVICE QUALITY USING BINOMINAL LOGISTIC REGRESSION
The success and the efficiency of e-Learning should be measured by a reliable method in order to use it effectively. Although, there are several studies about the success of e-Learning systems, only a few of them deal with the measurement of this success within the institutions. We made two questionnaires to evaluate the e-Learning application. The aim was to develop such questionnaires which are suitable to evaluate e-Learning’s quality. The basis of the e-Learning’s quality questions was Wang’s article (2007), in which he measured the success of e-Learning systems, therefore the questions of the students’ and the lecturers’ questionnaires were the same. The aim of the questionnaires were to compare the opinions of the students and the teachers and also to evaluate the Faculty of Economics and Business (FEB) of the University of Debrecen and the Corvinus University of Budapest (CUB) regarding the application of e-Learning. The role of the questionnaire for quality development is to give guidance for the FEB in implementing and using e-Learning. E-Learning in the CUB is applied under certain organized institutional circumstances. The e-Learning application of CUB works with an organization defined extended several faculties of the University, which can be a good example for FEB. We have used the Mann-Whitney test to evaluate the questionnaires of the students who use the e-Learning system. This method is used to compare the means of two groups in case of ordinal scales or not normally distributed variables. We have also used factor analysis and binominal logistic regression. We have examined whether the background variables manipulating the variables are possible to be developed on the basis of the answers. We used factor analysis to demonstrate this since it contracts the coherent factors into one common factor. Finally we used logistic regression to determine the importance of a given factor for the users of both faculty.
- Balogh, P., Bai, A., Popp, J., Huzsvai, L., Jobbágy, P. (2015) ‘Internet-orientated Hungarian car drivers' knowledge and attitudes towards biofuels‘, Renewable and Sustainable Energy Reviews, vol. 48, pp. 17-26. http://dx.doi.org/10.1016/j.rser.2015.03.045
- Bocarnea, M.C., Reynolds, R.A., Baker, J.D. (2012) Online instruments. data collection. and electronic measurements: Organizational advancements, United States: IGI Global. http://dx.doi.org/10.4018/978-1-4666-2172-5
- DeLone, W.H., McLean, E.R. (1992) ‘Information System Success: The Quest for The Dependent Variable‘, Information Systems Research, vol. 3, no. 1, pp. 60-95. http://dx.doi.org/10.1287/isre.3.1.60
- DeLone, W.H., McLean, E.R. (2003) ‘The DeLone and McLean model of information systems success: a ten-year update‘, Journal of Management Information Systems, vol. 19, no. 4, pp. 9–30.
- Eom, S.B., Ashill, N.J., Arbaugh, J.B., Stapleton, J.L. (2012) ‘The Role of Information Technology in ELearning Systems Success‘, Human Systems Management, vol. 31, no. 3-4., pp. 147-163. http://dx.doi.org/10.3233/HSM-2012-0767
- Eom, S. (2015) ‘Effects of self-efficacy and self-regulated learning on LMS user satisfaction and LMS effectiveness‘, 21st Americas Conference on Information Systems. AMCIS 2015; El Conquistador Resort and Convention CenterFajardo; Puerto Rico
- Field, A.P. (2009) Discovering statistics using SPSS: (and sex. drugs and rock'n'roll). 3rd ed. Los Angeles: SAGE Publications
- Gal, T., Nagy, L., David, L., Vasa, L., Balogh, P. (2013) ‘Technology planning system as a decision support tool for dairy farms in Hungary‘, Acta Polytechnica Hungarica, vol. 10, no. 8, pp. 231-244.
- Halonen R., Acton T., Golden W., Conboy K. (2009) ‘Delone&McLean success model as a descriptive tool in evaluating a virtual learning environment‘, The Whitaker Institute for Innovation and Societal Change, International Conference on Organizational Learning, Knowledge and Capabilities (OLKC 2009), Amsterdam, the Netherlands.
- Karima, A., Mostafa, A. (2016) ‘Improvement of the quality of development process of E-learning and M-learning systems‘, International Journal of Applied Engineering Research, vol. 11, no. 4, pp. 2474-2477.
- Lengyel, P., Füzesi, I., Péntek, Á., Herdon, M. (2016) ‘Human resource development using e-learning for Hungarian agricultural experts‘, Journal of Agricultural Informatics, vol. 7, no. 1, pp. 94-102. http://dx.doi.org/10.17700/jai.2016.7.1.262
- Lengyel, P., Herdon, M. (2012) ‘e-Learning minőségfejlesztése a Debreceni Egyetem Agrár- és Gazdálkodástudományok Centrumában‘ (e-Learning Quality Development of the University of Debrecen. Centre of Agricultural and Applied Economic Sciences), Információs Társadalomtudományi Folyóirat, vol. 12, no. 3, pp. 49-59.
- Li, Y., Fu, Z., Duan, Y. (2013) ‘Evaluating system quality of e-learning programs: A study based on factor analysis‘, Sensor Letters, vol. 11, no. 6-7, pp. 1180-1184. http://dx.doi.org/10.1166/sl.2013.2863
- Sajtos, L., Mitev, A. (2007) SPSS Kutatási és Adatelemzési Kézikönyv (SPSS Research and Data Analysis Manual). Budapest: Alinea Kiadó
- Silambannan, R., Srinath, M.V. (2013) ‘A convictive framework for quality base construction and evaluation of e-learning website‘, Journal of Theoretical and Applied Information Technology, vol. 58, no. 1, pp. 147-156.
- Szakály, Z., Balogh. P., Jasák, H., Szabó, S., Szente, V. (2014) ‘The Influence of Personal Values on the Transition towards Health-conscious Diet: a Segmentation Approach‘, Journal Of Food And Nutrition Research, vol. 2, no. 8, pp. 476-484. http://dx.doi.org/10.12691/jfnr-2-8-8
- Szilágyi, R. (2012) ‘New information and communication technologies in agriculture - factors. drivers and application possibilities‘, Journal of Agricultural Informatics, vol. 3, no. 1, pp. 10-18. http://dx.doi.org/10.17700/jai.2012.3.1.77
- Várallyai, L., Botos, Sz., Péntek, A. (2015) ‘Socio-economic Factors of Soil Pollution‘, Procedia Economics and Finance, vol. 33, pp. 573-583. http://dx.doi.org/10.1016/S2212-5671(15)01739-6
- Wang, Y.S., Wang, H.Y., Shee, D.Y. (2007) ‘Measuring e-Learning success in an organizational context: Scale development and validation‘, Computers in Human Behavior, vol. 23, pp. 1792-1808. http://dx.doi.org/10.1016/j.chb.2005.10.006
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