A Data Warehousing Framework for Predictive Analytics in Higher Education: A Focus on Student at-Risk Identification

A Data Warehousing Framework for Predictive Analytics in Higher Education: A Focus on Student at-Risk Identification

This paper will examine the development of a data warehouse aimed at improving decision-making in higher education, which focuses on the identification of students at-risk of academic failure through machine learning techniques. This research utilizes South East European University (SEEU) as a case...

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Bibliographic Details
Main Authors: Ismaili Burim, Besimi Adrian
Format: Article
Language:English
Published: Sciendo 2024-12-01
Series:SEEU Review
Subjects:
data warehouse
higher education
data efficient
student progress
decision making
Online Access:https://doi.org/10.2478/seeur-2024-0020
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https://doi.org/10.2478/seeur-2024-0020

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