Anonymized Dataset of Information Systems and Technology Students at a South African University for Learning Analytics

Advancements in data storage and data processing technologies has compelled higher education institutions to optimise the use of their data. Many universities globally have begun to implement learning analytics at their institutions to better understand and improve teaching and learning. African higher education institutions have been slow to implement learning analytics despite the continued accumulation of digital data. The research related to this study presents a dataset of Information Systems and Technology (IS&T) students from the University of KwaZulu-Natal, a South African university. The dataset comprises approximately 14,000 registered student records from 10 IS&T courses, primarily consisting of demographic data, academic performance (including past IS&T courses and school records), and Learning Management System (LMS) interaction data. The dataset exhibits an imbalance, characterised by a higher proportion of students who have successfully completed courses compared to those who have not. The dataset will be of interest to researchers engaged in learning analytics application studies, including early pass/fail prediction and grade classification, as well as those who want to test their techniques on a real-world dataset.

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Data
Published
2025-12-19
DOI
https://doi.org/10.3390/data11010001
Primary Topic
Online Learning and Analytics
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article
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article

Anonymized Dataset of Information Systems and Technology Students at a South African University for Learning Analytics

Prabhakar Rontala Subramaniam, Irene Govender, Rushil Raghavjee
Data
Online Learning and Analytics
article

Anonymized Dataset of Information Systems and Technology Students at a South African University for Learning Analytics

Prabhakar Rontala Subramaniam, Irene Govender, Rushil Raghavjee
article en

Abstract

Advancements in data storage and data processing technologies has compelled higher education institutions to optimise the use of their data. Many universities globally have begun to implement learning analytics at their institutions to better understand and improve teaching and learning. African higher education institutions have been slow to implement learning analytics despite the continued accumulation of digital data. The research related to this study presents a dataset of Information Systems and Technology (IS&T) students from the University of KwaZulu-Natal, a South African university. The dataset comprises approximately 14,000 registered student records from 10 IS&T courses, primarily consisting of demographic data, academic performance (including past IS&T courses and school records), and Learning Management System (LMS) interaction data. The dataset exhibits an imbalance, characterised by a higher proportion of students who have successfully completed courses compared to those who have not. The dataset will be of interest to researchers engaged in learning analytics application studies, including early pass/fail prediction and grade classification, as well as those who want to test their techniques on a real-world dataset.

DataVol. 11(1)
Umkhuseli Innovation and Research Management (ZA), University of KwaZulu-Natal (ZA)
Quality Education
Openalex Percentile: Top 29%
Online Learning and Analytics
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Anonymized Dataset of Information Systems and Technology Students at a South African University for Learning Analytics — Prabhakar Rontala Subramaniam, Irene Govender, et al. · Data (2025) | TGRS Research Map | TGRS