通过 AHP 探索衡量电子学习系统及其相关成果的因素的框架模型

Mohamed Benaida
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摘要

各大学将学习成果作为评估教育系统质量保证的衡量标准。然而,由于缺乏明确的指导来衡量成果并进行相应的分析以改进教育周期,教育工作者难以有效地解决不足之处。本研究通过提出一个新的框架,填补了这一空白,并为衡量大学网络学习系统的学习成果提供了指导性方法。在采用 PRISMA 方法从 271 篇文章中筛选出 102 篇文章进行全面研究文献综述的基础上,利用分析层次法(AHP)对五位专家关于电子学习系统及其成果的意见进行了分析,以提供优先排序。结果显示,教学方法、教学质量、学习环境和学生是主要因素,同时也是次要因素。此外,我们来自不同教育和地理背景的专家提供了附加值,使该框架能够在不同环境和领域实施。最终,该框架能准确测量子因素,从而确定教育变量的优缺点。所提出的框架是朝着正确方向迈出的一步,使我们能够在评估电子学习成果时,考虑到用户的需求,设计出合适的系统。
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A Framework Model for Exploring Factors for Measuring E-Learning Systems and Its Relevant Outcomes via AHP
Universities have focused on learning outcomes as a metric for evaluating the quality assurance of educational systems. However, due to the absence of a clear guide on measuring outcomes and analysing them accordingly to improve the educational cycle, educators struggled to efficiently and effectively address shortcomings. By proposing a new framework, this study fills this gap and provides a guided approach to measuring learning outcomes in the context of university e-learning systems. Facilitated by a comprehensive research literature review of 102 articles, filtered from 271 articles using the PRISMA method, the opinions of five experts regarding e-learning systems and their outcomes were analysed using the analytical hierarchy process (AHP) to provide priority rankings. Teaching methods, teaching quality, learning environment, and students emerged as the main factors, along with their sub-factors. Moreover, our experts from diverse educational and geographical backgrounds provide added value, enabling the framework to be implemented across various environments and fields. Ultimately, this framework accurately measures sub-factors to identify the strengths and weaknesses of educational variables. The proposed framework is a step in the right direction, enabling the design of a suitable system that takes into account users’ needs when assessing e-learning outcomes.
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