Abstract:
An approach to identify at-risk students for different UG programmes offered by EdUHK has been successfully developed under the CRAC project 03ABL “Improving QA&E by Predicting Student Performance Using Data Analytics”.
Students who may be getting a degree classification of third-class honors or below can be identified with high probability based on their performances in the first two years. It would therefore be beneficial to include this identification methodology in the university’s quality assurance procedure for all reasonably sized programmes. The purpose of this TDG is to develop the corresponding automatic version of the above CRAC project: when the second year results of students become available in August each year, programme leaders will be able to receive the list of at-risk students identified in late September. Interventions may then be made by programme leaders (PLs) to improve the students’ understanding and learning. If successful, the automated procedure and the analysis should form part of the annual programme review and enhance all GILOs.
Code:
T0282
Principal Project Supervisors:
Keywords provided by authors:
Start Date:
01 Jul 2024
End Date:
31 Dec 2025
Status:
Ongoing
Financial Year:
2023-24
Type:
TDG