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Classification of Systems-II

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An evaluation and selection problems of OSS-LMS packages.

Belal Najeh Abdullateef¹, Nur Fazidah Elias¹, Hazura Mohamed¹

¹Faculty of Information Science and Technology, Universit Kebangsaan Malaysia, Bangi, Malaysia.

|April 12, 2016

Summary

Selecting appropriate open source software in learning management system (OSS-LMS) packages is crucial. This study identifies OSS-LMS options, evaluation criteria gaps, and recommends multi-criteria decision-making techniques for optimal selection.

Keywords:

Learning management system Multi-criteria decision making Open source software Software evaluation criteria

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Published on: January 11, 2020

Area of Science:

Information Science
Computer Science
Educational Technology

Background:

Inappropriate selection of Open Source Software in Learning Management System (OSS-LMS) packages negatively impacts organizational business processes.
A systematic approach to evaluating and selecting OSS-LMS is needed to mitigate these adverse effects.

Purpose of the Study:

To provide comprehensive insights into the evaluation and selection of OSS-LMS packages.
To identify available OSS-LMS, establish evaluation criteria, and highlight gaps.
To discuss suitable selection methods for choosing the best OSS-LMS packages.

Main Methods:

Literature review to ascertain available OSS-LMS packages.
Specification of evaluation criteria, identifying and establishing them, and analyzing gaps.
Discussion of multi-criteria evaluation and selection methods applicable to OSS-LMS selection problems.

Main Results:

A curated list of active OSS-LMS packages was identified.
Gaps in evaluation criteria for LMS and related problems were highlighted, categorized into main groups with sub-criteria.
Multi-attribute or multi-criteria decision-making (MADM/MCDM) techniques were recommended for OSS evaluation and selection in education.

Conclusions:

Effective evaluation and selection of OSS-LMS packages require a structured approach.
Addressing the identified gaps in evaluation criteria is essential for informed decision-making.
MADM/MCDM techniques offer a robust framework for selecting optimal OSS-LMS solutions in educational settings.