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Enhancing the e-learning system based on a novel tasks' classification load-balancing algorithm.

Ayman E Khedr1, Amira M Idrees1, Rashed Salem2

  • 1Information Systems Department, Faculty of Computers and Information Technology, Future University in Egypt, Cairo, Egypt.

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|October 4, 2021
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Summary
This summary is machine-generated.

A new load-balancing algorithm enhances e-learning system performance and student satisfaction. This novel approach optimizes resource utilization, leading to a 95.4% satisfaction rate among students in educational cloud systems.

Keywords:
Classification data miningCloud computingE-learningLoad balancingStudents’ satisfaction

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Area of Science:

  • Computer Science
  • Educational Technology
  • Cloud Computing

Background:

  • E-learning systems face performance bottlenecks due to high user loads (instructors, students).
  • Optimal load distribution is crucial for efficient resource utilization and system performance in cloud environments.

Purpose of the Study:

  • To propose a novel load-balancing algorithm for e-learning systems.
  • To enhance system performance and increase user (student) satisfaction.
  • To evaluate the algorithm's effectiveness in real-world educational settings.

Main Methods:

  • Development and simulation of a new load-balancing algorithm.
  • Implementation and testing of the algorithm on the Helwan University e-learning system.
  • User satisfaction assessment via a questionnaire administered to students.

Main Results:

  • The proposed algorithm demonstrated superior performance compared to existing load-balancing methods.
  • Simulation confirmed the algorithm's applicability and effectiveness.
  • A real-case experiment at Helwan University showed significant improvements.

Conclusions:

  • The novel load-balancing algorithm effectively optimizes e-learning system performance.
  • The algorithm leads to a substantial increase in student satisfaction, achieving 95.4%.
  • This research provides a viable solution for improving educational cloud system efficiency and user experience.