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.
| Item Type: | Book Section |
|---|---|
| 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, Ghaith, Xue, James, Ajit, Suraj, Kanakis, Triantafyllos and Hadi, Israa |
| 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: | https://doi.org/10.1109/ICACCE49060.2020.9154946 |
| Status: | Published / Disseminated |
| Refereed: | Yes |
| Related URLs: | |
| URI: | http://nectar.northampton.ac.uk/id/eprint/15640 |
Actions (login required)
 |
Edit Item |
Altmetric
Altmetric