Asset Details
Do you wish to reserve the book?
A Data Warehousing Framework for Predictive Analytics in Higher Education: A Focus on Student at-Risk Identification
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
A Data Warehousing Framework for Predictive Analytics in Higher Education: A Focus on Student at-Risk Identification
Do you wish to request the book?
A Data Warehousing Framework for Predictive Analytics in Higher Education: A Focus on Student at-Risk Identification
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
A Data Warehousing Framework for Predictive Analytics in Higher Education: A Focus on Student at-Risk Identification
2024
Overview
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 study to show how data warehousing can integrate various student data—including demographics, academic performance, grades, attendance, and engagement—into an integrated framework that enables predictive analytics.The overall approach allows SEEU decision-makers, administrators, and faculty to proactively identify and assist at-risk students, which improves student retention and their academic success. The results underscore the crucial role of data warehousing in enhancing student achievement and facilitating informed decision-making in higher education.The paper concludes with concrete suggestions for leveraging data to enhance decision-making processes in a digital educational institution.
Publisher
De Gruyter Brill Sp. z o.o., Paradigm Publishing Services
We currently cannot retrieve any items related to this title. Kindly check back at a later time.