The use of personalised learning environments (PLEs) and adaptive learning environments (ALEs) in education has increased during the COVID-2019 pandemic. Thus, the need of effective and high-quality PLEs and ALEs has emerged but developing such learning environments has some difficulties such as the need for a huge number of qualified e-contents. Generation of e-contents for these systems is a time-consuming and costly process. Moreover, presenting the same e-content for each student is not effective because each student can have different intelligence type. To overcome these problems, low cost, reusable and dynamic e-contents can be used for PLE and ALE systems. For this purpose, fuzzy analytic hierarchy process (FAHP) was used to provide sequenced e-contents for PLE and ALE systems. This proposed system was used in a case study to investigate its impact on learning process. The performance of the proposed study was compared with analytical hierarchy process (AHP), which is another multi-criteria decision-making (MCDM) method, also further statistical analyses were investigated. The results showed that 84.6% of students showed interest in the proposed system, so the FAHP method can be used for presenting personalised e-content effectively.

在 COVID-2019 大流行期间，个性化学习环境 (PLE) 和自适应学习环境 (ALE) 在教育中的使用有所增加。因此，出现了对有效和高质量的 PLE 和 ALE 的需求，但开发这样的学习环境存在一些困难，例如需要大量合格的电子内容。为这些系统生成电子内容是一个耗时且成本高昂的过程。此外，为每个学生呈现相同的电子内容是无效的，因为每个学生可能具有不同的智力类型。为了克服这些问题，可以将低成本、可重复使用和动态的电子内容用于 PLE 和 ALE 系统。为此，使用模糊层次分析法 (FAHP) 为 PLE 和 ALE 系统提供有序的电子内容。该提议的系统用于案例研究，以调查其对学习过程的影响。将所提出的研究的性能与另一种多标准决策 (MCDM) 方法的层次分析法 (AHP) 进行了比较，并对进一步的统计分析进行了调查。结果表明，84.6%的学生对所提出的系统表现出兴趣，因此FAHP方法可以有效地呈现个性化电子内容。