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Journal of Computers in Education

Erschienen in:

19.03.2019

Selection of E-learning websites using a novel Proximity Indexed Value (PIV) MCDM method

verfasst von: Noor Zaman Khan, Talhah Shamshad Ali Ansari, Arshad Noor Siddiquee, Zahid A. Khan

Erschienen in: Journal of Computers in Education | Ausgabe 2/2019

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Abstract

This paper presents application of a newly developed multi-criteria decision-making (MCDM) method, i.e. Proximity Indexed Value (PIV) method for the ranking and selection of the E-learning websites. PIV is a computationally simpler method as compared to other MCDM methods such as AHP, VIKOR, COPRAS, WEDBA, WDBA, and it also minimises the rank reversal problem. The applicability and efficacy of the PIV method has been demonstrated with the help of two illustrative examples pertaining to the selection of the E-learning websites which have already been solved by researchers using different MCDM methods. Results of this study revealed that the ranking of the E-learning websites obtained by the PIV method exactly matched with those derived by AHP, VIKOR and COPRAS. However, a small difference in the ranking by PIV method with those of WEDBA and WDBA was observed. It suggests that PIV method is a simple, effective and efficient method which can be used to solve different types of problems related to the ranking and selection of alternatives.

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Alias, N., Zakariah, Z., Ismail, N. Z., & Aziz, M. N. A. (2012). E-learning successful elements for higher learning institution in Malaysia. Procedia -Social and Behavioral Sciences, 67, 484–489.CrossRef

Aparicio, M., Bacao, F., & Oliveira, T. (2016). An e-learning theoretical framework. Journal of Educational Technology & Society, 19(1), 292–307.

Cheawjindakarn, B., Suwannatthachote, P., & Theeraroungchaisri, A. (2012). Critical success factors for online distance learning in higher education: a review of the literature. Creative Education, 3(8), 61.CrossRef

Covella, G. J., Olsina Santos, L. A. (2002). Specifying quality characteristics and attributes for E Learning sites. In IV Workshop de Investigadoresen Ciencias de la Computación

Ehlers, U. D. (2004). Quality in e-learning from a learner’s perspective. European Journal of Open, Distance and E-learning, 101, 1–7.

FitzPatrick, T. (2012). Key success factors of eLearning in education: A professional development model to evaluate and support eLearning. Online Submission.

Garg, R. (2017). Optimal selection of E-learning websites using multi attribute decision-making approaches. Journal of Multi-Criteria Decision Analysis, 24(3–4), 187–196.CrossRef

Garg, R., & Jain, D. (2017). Fuzzy multi-attribute decision making evaluation of e-learning websites using FAHP, COPRAS, VIKOR. WDBA. Decision Science Letters, 6(4), 351–364.CrossRef

Govindasamy, T. (2001). Successful implementation of e-learning: Pedagogical considerations. The Internet and Higher Education, 4(3–4), 287–299.CrossRef

Jain, D., Garg, R., Bansal, A., & Saini, K. K. (2016). Selection and ranking of E-learning websites using weighted distance-based approximation. Journal of Computers in Education, 3(2), 193–207.CrossRef

Le Blanc, A., Wands, M. (2001). Critical success factors: E-learning solutions cappuccino. The official E-Newsletter of the Change and Learning Practice2.

Mahanta, D., & Ahmed, M. (2012). E-learning objectives, methodologies, tools and its limitation. International Journal of Innovative Technology and Exploring Engineering, 2, 46–51.

Mosakhani, M., Jamporazmey, M. (2010). Introduce critical success factors (CSFs) of e-learning for evaluating e-learning implementation success, In Proceedings of the Educational and Information Technology (ICEIT), 2010 International Conference (Vol. 1, pp. V1-224). IEEE.

Mufazzal, S., & Muzakkir, S. M. (2018). A new multi-criterion decision making (MCDM) methodbased on proximity indexed value for minimizing rank reversals. Computers & Industrial Engineering, 119, 427–438.CrossRef

Ozkan, S., Koseler, R. (2009). Multi-dimensional evaluation of E-learning systems in the higher education context: an empirical investigation of a computer literacy course, Proceedings of the Frontiers in Education Conference, 2009. FIE’09. 39th IEEE (pp. 1–6). IEEE.

Oztekin, A., Delen, D., Turkyilmaz, A., & Zaim, S. (2013). A machine learning-based usability evaluation method for eLearning systems. Decision Support Systems, 56, 63–73.CrossRef

Öztürk, Z. K. (2014). Using a multi criteria decision making approach for Open and distance learning system selection. Anadolu University Journal of Science and Technology, 15(1), 1–14.

Pruengkarn, R., Praneetpolgrang, P., Srivihok, A. (2005). An evaluation model for e-learning Websites in Thailand University, Proceedings of the Advanced Learning Technologies, 2005. ICALT 2005. Fifth IEEE International Conference (pp. 161–162). IEEE.

Saaty, T. L. (1980). The analytic hierarchy process (p. 1980). New York: McGraw-Hill.

Sela, E., & Sivan, Y. Y. (2009). Enterprise e-learning success factors: An analysis of practitioners’ perspective (with a downturn addendum). Interdisciplinary Journal of E-Learning and Learning Objects, 5(1), 335–343.CrossRef

Selim, H. M. (2007). Critical success factors for E-learning acceptance: Confirmatory factor models. Computers & Education, 49(2), 396–413.CrossRef

Soong, M. B., ChanHC, Chua B. C., & Loh, K. F. (2001). Critical success factors for on-line course resources. Computers & Education, 36(2), 101–120.CrossRef

Volery, T., & Lord, D. (2000). Critical success factors in online education. International Journal of Educational Management, 14(5), 216–223.

Vukovac, D. P., Kirinic, V., & Klicek, B. (2010). A comparison of usability evaluation methods for e-learning systems (pp. 271–289). Vienna: DAAAM International Scientific Book.

Xaymoungkhoun, O., Bhuasiri, W., Rho, J. J., Zo, H., & Kim, M. G. (2012). The critical success factors of e-learning in developing countries. Korea, 305, 701.

Yunus, Y., & Salim, J. (2013). E-learning evaluation in Malaysian public sector from the pedagogical perspective: Towards e-learning effectiveness. Journal of Theoretical & Applied Information Technology, 51(2), 201–210.

Zaman, W., Ghosh, P., Datta, K., & Basu, P. N. (2012). A framework to incorporate quality aspects for e-learning system in a consortium environment. International Journal of Information and Education Technology, 2(2), 159.CrossRef

Titel: Selection of E-learning websites using a novel Proximity Indexed Value (PIV) MCDM method
verfasst von: Noor Zaman Khan
Talhah Shamshad Ali Ansari
Arshad Noor Siddiquee
Zahid A. Khan
Publikationsdatum: 19.03.2019
Verlag: Springer Berlin Heidelberg
Erschienen in: Journal of Computers in Education / Ausgabe 2/2019
Print ISSN: 2197-9987
Elektronische ISSN: 2197-9995
DOI: https://doi.org/10.1007/s40692-019-00135-7

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