Literature DB >> 32365123

Evaluating critical success factors in implementing E-learning system using multi-criteria decision-making.

Quadri Noorulhasan Naveed1, Mohamed Rafik Noor Qureshi2, Nasser Tairan1, AbdulHafeez Mohammad3, Asadullah Shaikh4, Alhuseen O Alsayed5, Asadullah Shah6, Fahad Mazaed Alotaibi7.   

Abstract

Learning using the Internet or training through E-Learning is growing rapidly and is increasingly favored over the traditional methods of learning and teaching. This radical shift is directly linked to the revolution in digital computer technology. The revolution propelled by innovation in computer technology has widened the scope of E-Learning and teaching, whereby the process of exchanging information has been made simple, transparent, and effective. The E-Learning system depends on different success factors from diverse points of view such as system, support from the institution, instructor, and student. Thus, the effect of critical success factors (CSFs) on the E-Learning system must be critically analyzed to make it more effective and successful. This current paper employed the analytic hierarchy process (AHP) with group decision-making (GDM) and Fuzzy AHP (FAHP) to study the diversified factors from different dimensions of the web-based E-Learning system. The present paper quantified the CSFs along with its dimensions. Five different dimensions and 25 factors associated with the web-based E-Learning system were revealed through the literature review and were analyzed further. Furthermore, the influence of each factor was derived successfully. Knowing the impact of each E-Learning factor will help stakeholders to construct education policies, manage the E-Learning system, perform asset management, and keep pace with global changes in knowledge acquisition and management.

Entities:  

Year:  2020        PMID: 32365123     DOI: 10.1371/journal.pone.0231465

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  4 in total

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Journal:  Educ Inf Technol (Dordr)       Date:  2022-07-06

2.  A comprehensive decision framework with interval valued type-2 fuzzy AHP for evaluating all critical success factors of e-learning platforms.

Authors:  Uğur Atıcı; Aylin Adem; Mehmet Burak Şenol; Metin Dağdeviren
Journal:  Educ Inf Technol (Dordr)       Date:  2022-01-24

3.  Distance education tool selection using novel spherical fuzzy AHP EDAS.

Authors:  Akın Menekşe; Hatice Camgöz Akdağ
Journal:  Soft comput       Date:  2022-01-24       Impact factor: 3.643

4.  Benign or disordered development? Assessment and simulation of security of highly aggregated tourist crowds in China.

Authors:  Jie Yin; Yahua Bi
Journal:  PLoS One       Date:  2020-10-29       Impact factor: 3.240

  4 in total

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