Data Analysis in Education: A Systematic Review

Document Type : Summary of Master Research and PhD

Authors

1 Instructional Technology , Jeddah University

2 Instructional technology , King Abdulaziz University

Abstract

This study aimed to a systematic review of recent scientific research that include data analysis in education field. The study analyzed 20 research that meet specific inclusion criteria, that aim to identify the benefit area of data analysis in education filed, the obstacles and challenges that facing the educational data analysis, the target group whose collect their data and analysis, learning platforms that used to collect educational data, and data analysis tools in education filed, this study focused on the research from 2019 to 2022 this period was associated with data analysis concept in education. Research data were quantitatively and qualitatively analyzed and the PRISMA model was used to illustrate the steps of the systematic review. The results concluded that the data analysis of training courses is the most widely field in education and this result used to improve learner experience. Most of the educational data was collected through learning management systems because it contains dynamic data that collected from the LMS tools, student in higher education is the most group that research targeted to analyze their data in education field because many universities depend on LMS, which use different data analysis tool based on variety algorithms to extract knowledge from data. The study showed that the data analysis faced challenges in education field, the important challenge depends on the sample of data collecting which is too specific sample that difficult to generalized. The study recommended applying studies and research in the field of data analysis in the educational field.

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