Automatic Prognostic Student Progress Monitoring System
Summary of the project
The project developed an Automated Prognostic Student Progress Monitoring System (APSPMS) for the Electrical Engineering program at Eindhoven University of Technology (TU/e). This system has been designed to continuously track, assess, and monitor a student's comprehension of the course content, specifically in electromagnetics, throughout the entire course schedule. By utilizing gathered information, the APSPMS makes real-time predictions of a student’s performance, thereby serving as a prognosis towards the final outcome. The system generates corrective suggestions and prescribing concrete actions to help students improve their final results and it captures both hard indicators, such as exam scores, and soft indicators, including time spent on reading, participation in discussions, and interaction with course materials. The prototype is developed to provide continuous monitoring of student performance, allowing for the adjustment of learning paths and personalized recommendations to enhance comprehension and academic success.
Aim of the project
The aim of the project has been to create a system that can reliably predict a student’s final course performance based on their current understanding and progress. The APSPMS supports the personal learning path of each student by suggesting corrective actions to both the student and the educator, thereby enhancing teaching quality and student comprehension. By providing constant, data-driven insights, the system has been aiming to reduce the time needed to complete a study program while improving the quality of education. The project's goals have been including predicting student performance, utilizing soft indicators to refine predictions, allowing students to set their learning curves, and identifying significant discrepancies between predicted and actual performance. With this approach it is expected to significantly boost student satisfaction, reduce dropout rates, and enhance overall learning outcomes.
Results and learnings
The APSPMS system is a system which is based on learning and is working adequately but it does need improvement. The system is fully automated and working as planned. In the last three years students in the course received feedback to their learning. Part of it is personalized feedback, based on the pre-test of the course. The feedback is given via the Power BI portal, which is highly appreciated by the students. There are a couple of things to improve to create a better system. The current prediction of the system is 68%. By adding more variables we want to increase this to 98%.
- C. Martinez, R. Serra, P. Sundaramoorthy, T. Booij, C. Vertegaal, Z. Bounik, K. Van Hastenberg and M.J. Bentum, “Content-focused formative feedback combining achievement, qualitative,” Educ. Sci. 2023, 13, 1014. https://www.mdpi.com/2227-7102/13/10/1014
- C. Martinez, C.J.C. Vertegaal, P. Sundaramoorthy, T. Booij, R. Serra, Z. Bounik and M.J. Bentum, “Early Warning Systems with Formative Feedback to Support Electromagnetism Study for Engineer Students,” EAEEIE2023, Eindhoven, The Netherlands, June 2023. https://ieeexplore.ieee.org/document/10181601
- R. Serra, C. Martinez, C.G.J. Vertegaal, P. Sundaramoorthy and M.J. Bentum, “Using Student Led Tutorials to improve Performance in Electromagnetism Course,” IEEE Transactions on Education, Vol. 66(4), August 2023, pp 339-349, DOI: 10.1109/TE.2023.3238175
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