Northampton Electronic Collection of Theses and Research

Predictive Learning Analytics in Higher Education: Factors, Methods and Challenges

Al-Tameemi, G., Xue, J., Ajit, S., Kanakis, T. and Hadi, I. (2020) Predictive Learning Analytics in Higher Education: Factors, Methods and Challenges. In: Predictive Learning Analytics in Higher Education: Factors, Methods and Challenges :. USA: IEEE.

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Al_Tameemi_etal_IEEE_2020_Predictive_Learning_Analytics_in_Higher_Education_Factors_Methods_and_Challenges
Al_Tameemi_etal_IEEE_2020_Predictive_Learning_Analytics_in_Higher_Education_Factors_Methods_and_Challenges.pdf - Accepted Version
Information
Abstract:
In higher education institutions, a high number of studies show that the use of predictive learning analytics can positively impact student retention and the other aspects which lead to student success. Predictive learning analytics examines the learning data for intervening or improving the process itself that positively reflects on student performance. In our survey, we are considering the most recent research papers focusing on predictive learning analytics and how that affects the final student outcome in educational institutions. The process of predictive learning analytics, such as data collection, data preprocessing, data mining, and others, has been illustrated in detail. We have identified factors that affect student performance. Several machine learning approaches have also been compared to provide a clear view of the most suitable algorithms and tools used for implementing the learning analytics
Uncontrolled Keywords:
Predictive Learning Analytics, Educational Data Mining, Higher education institutions, Data mining, Student performance
Creators:
Al-Tameemi, G., Xue, J., Ajit, S., Kanakis, T. and Hadi, I.
Publisher:
IEEE
Faculties, Divisions and Institutes:
Faculties > Faculty of Arts, Science & Technology > Computing
Date:
5 May 2020
Date Type:
Acceptance
Title of Book:
Predictive Learning Analytics in Higher Education: Factors, Methods and Challenges :
Event Title:
6th IEEE International Conference on Advances in Computing and Communication Engineering
Event Dates:
2020-06-22 - 2020-06-24
Place of Publication:
USA
Number of Pages:
9
Language:
English
DOI:
10.1109/ICACCE49060.2020.9154946
Status:
Published / Disseminated
Refereed:
Yes
Related URLs:
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