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

Quadri Noorulhasan Naveed1, Mohamed Rafik Noor Qureshi2, Nasser Tairan1

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This study analyzes critical success factors (CSFs) for effective E-Learning using Fuzzy Analytic Hierarchy Process (FAHP). It quantifies 25 factors across five dimensions to improve online education systems.

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Area of Science:

  • Educational Technology
  • Computer Science

Background:

  • E-Learning is rapidly replacing traditional education due to digital technology advancements.
  • Effective E-Learning relies on system, institutional support, instructor, and student factors.

Purpose of the Study:

  • To critically analyze the influence of Critical Success Factors (CSFs) on E-Learning systems.
  • To quantify and rank CSFs for web-based E-Learning to enhance effectiveness.

Main Methods:

  • Employed the Analytic Hierarchy Process (AHP) with Group Decision-Making (GDM).
  • Utilized Fuzzy AHP (FAHP) to quantify and analyze 25 CSFs across five dimensions.
  • Conducted a comprehensive literature review to identify relevant factors.

Main Results:

  • Quantified 25 Critical Success Factors (CSFs) associated with web-based E-Learning systems.
  • Derived the influence and impact of each factor on E-Learning effectiveness.
  • Identified key dimensions influencing E-Learning success.

Conclusions:

  • Understanding CSF impact is crucial for optimizing E-Learning systems.
  • Findings support stakeholders in developing education policies and managing E-Learning effectively.
  • This research aids in adapting to global knowledge acquisition trends.