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Student Progress Predictor
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 140 - Number 12 |
| Year of Publication: 2016 |
| Authors: R. Ksohy, A.V. Sakpal, R. More |
10.5120/ijca2016909521
|
R. Ksohy, A.V. Sakpal, R. More . Student Progress Predictor. International Journal of Computer Applications. 140, 12 ( April 2016), 28-32. DOI=10.5120/ijca2016909521
Abstract
Using data mining algorithms can help discover-ing pedagogically relevant knowledge contained in databases obtained from Web-based educational systems. These findings can be used both to help teachers with managing their class, understand their students learning and reflect on their teaching and to support learner reflection and provide proactive feedback to learners.
References
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