Document Type
Conference Paper
Rights
Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence
Disciplines
1.2 COMPUTER AND INFORMATION SCIENCE
Abstract
The use of Education Data Mining (EDM) has seen a significant increase in recent years. A recent report identified notable concerns with the literature relating to the lack of metrics presented in EDM research (in particular, predicting student performance). This poster presents details on these concerns that may inhibit future re-validation studies or worse, models that initially report strong findings which may not generalise. This poster also declares a call to action for future studies to present such metrics, and finally describes ongoing work in this space (a systematic literature review.
DOI
https://doi.org/10.1145/3456565.3460071
Recommended Citation
Quille, K., Nolan, K. & Colgan, S. (2021). The Elusive Metrics - Are We Telling the Full Story in Educational Data Mining? ITiCSE, '21 Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V, 2 June. doi:10.1145/3456565.3460071 .