Evaluating critical success factors in implementing E-learning system using multi-criteria decision-making.
Academic Success
Computer-Assisted Instruction
/ methods
Curriculum
/ standards
Digital Divide
/ trends
Fuzzy Logic
Humans
Implementation Science
Internet
/ organization & administration
Internet Access
/ statistics & numerical data
Knowledge
Learning
/ physiology
School Teachers
/ organization & administration
Students
/ psychology
Teacher Training
/ methods
Journal
PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081
Informations de publication
Date de publication:
2020
2020
Historique:
received:
30
12
2019
accepted:
24
03
2020
entrez:
5
5
2020
pubmed:
5
5
2020
medline:
28
7
2020
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 32365123
doi: 10.1371/journal.pone.0231465
pii: PONE-D-19-35928
pmc: PMC7197813
doi:
Types de publication
Evaluation Study
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e0231465Déclaration de conflit d'intérêts
The authors have declared that no competing interests exist.
Références
Harv Bus Rev. 1979 Mar-Apr;57(2):81-93
pubmed: 10297607