ERIC Number: EJ1418848
Record Type: Journal
Publication Date: 2024
Pages: 25
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1360-2357
EISSN: EISSN-1573-7608
Available Date: N/A
A Decade of Research into the Application of Big Data and Analytics in Higher Education: A Systematic Review of the Literature
Ana Stojanov; Ben Kei Daniel
Education and Information Technologies, v29 n5 p5807-5831 2024
The need for data-driven decision-making primarily motivates interest in analysing Big Data in higher education. Although there has been considerable research on the value of Big Data in higher education, its application to address critical issues within the sector is still limited. This systematic review, conducted in December 2021 and encompassing 75 papers, analysed the applications of Big Data and analytics in higher education. The focus was on their usage in supporting learning, teaching and administration as reported in papers indexed in SCOPUS, Web of Science and IEEE Xplore. The key findings from the review revealed that Big Data and analytics are predominantly used to support learning and, to a lesser extent, guide teaching and informing administrative decision-making processes. The review also identified a set of studies focused on supporting student well-being. Further, we extend the use of Big Data in higher education to include the well-being of students and staff. This paper contributes to the growing debate on the practical use of Big Data and analytics to provide valuable insights for solving systemic challenges facing high education in the twenty-first century.
Descriptors: Higher Education, Learning Analytics, Well Being, Decision Making, Research Reports, Learning Processes, Teaching Methods, College Students, College Faculty, Data Analysis, Barriers, Problem Solving, Data Use
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Publication Type: Journal Articles; Information Analyses; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Data File: URL: https://osf.io/2eq7k/?view_only=1100a797b33b4d5f98072db99d3b9325
Author Affiliations: N/A