Exploring Data Mining in Higher Education Management: Challenges and Opportunities in the Digital Age
DOI:
https://doi.org/10.59282/reincisol.V3(5)1367-1385Keywords:
Data mining, higher education management, digital age.Abstract
The present study addresses the theme of data mining in higher education management, specifically focusing on the challenges and opportunities in the digital age. It involves analyzing large educational datasets to discover patterns, trends, and insights that can be used to enhance decision-making and academic performance in institutions of higher education. The study aims to demonstrate the importance of data mining in higher education management for decision-making and actions by academic stakeholders. The methodology includes a comprehensive literature review by collecting and analyzing relevant information from scientific articles and academic studies available in databases such as Google Scholar. It is concluded that effective higher education management requires informed decisions, with data mining playing a key role. This technique analyzes academic data to improve educational processes and practices, identifying patterns in performance, student behavior, and attrition for problem-solving. Integrating data mining in management predicts and addresses issues like teaching performance and curriculum design, contributing to the development of competent, ethical professionals and enhancing overall educational quality and societal impact.
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Copyright (c) 2024 Josselyn Maoly Cedillo Arce, Holguer Miguel Beltrán Abreo, Marjorie Irene Saltos Arce , Fernando Renato Soriano Barzola
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