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A multi-criteria decision-making (MCDM) approach for data-driven distance learning recommendations.

Aysha Meshaal Alshamsi1, Hadeel El-Kassabi2, Mohamed Adel Serhani1,3

  • 1Department of Information Systems and Security, College of Information Technology, UAEU, Al-Ain, UAE.

Education and Information Technologies
|January 31, 2023
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Summary

Distance learning, or Emergency Remote Teaching (ERT), presents challenges but offers alternatives to improve student academic performance and retention. This study identifies optimal strategies for effective distance education.

Keywords:
AHPCOVID-19Distance learningERTMCDMPandemicWPMWSM

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Area of Science:

  • Education
  • Educational Technology
  • Online Learning

Background:

  • The COVID-19 pandemic necessitated a global shift to distance learning, often termed Emergency Remote Teaching (ERT).
  • This rapid transition highlighted challenges in technological adoption, student engagement, parental involvement, and teacher workload.
  • Existing educational frameworks required adaptation to assess and manage remote learning outcomes.

Purpose of the Study:

  • To analyze distance learning alternatives and their impact on student academic performance and retention.
  • To evaluate stakeholder utilization of distance learning tools and criteria influencing its effectiveness.
  • To propose a model for identifying and recommending optimal distance learning strategies.

Main Methods:

  • Examined stakeholder use of distance learning for educational objectives.
  • Evaluated various distance learning alternatives and influencing criteria.
  • Developed a multi-criteria decision-making model to score and rank alternatives.
  • Integrated a recommendation system for customized student and teacher support.

Main Results:

  • Identified key factors influencing the effectiveness of distance learning alternatives.
  • The proposed model successfully assigns weights to alternatives for optimal selection.
  • The recommendation system provides tailored strategies to enhance student outcomes.

Conclusions:

  • Distance learning, including ERT, requires careful selection of alternatives to maximize student academic performance.
  • The developed multi-criteria decision-making and recommendation model offers a framework for improving online education effectiveness.
  • This research provides valuable insights for educators and policymakers navigating the landscape of distance learning.