Álvaro Figueira. Predicting Grades by Principal Component Analysis: A Data Mining Approach to Learning Analyics. In J. Michael Spector, Chin-Chung Tsai, Demetrios G. Sampson, Kinshuk, Ronghuai Huang, Nian-Shing Chen, Paul Resta, editors, 16th IEEE International Conference on Advanced Learning Technologies, ICALT 2016, Austin, TX, USA, July 25-28, 2016. pages 465-467, IEEE Computer Society, 2016. [doi]
@inproceedings{Figueira16-0, title = {Predicting Grades by Principal Component Analysis: A Data Mining Approach to Learning Analyics}, author = {Álvaro Figueira}, year = {2016}, doi = {10.1109/ICALT.2016.103}, url = {http://doi.ieeecomputersociety.org/10.1109/ICALT.2016.103}, researchr = {https://researchr.org/publication/Figueira16-0}, cites = {0}, citedby = {0}, pages = {465-467}, booktitle = {16th IEEE International Conference on Advanced Learning Technologies, ICALT 2016, Austin, TX, USA, July 25-28, 2016}, editor = {J. Michael Spector and Chin-Chung Tsai and Demetrios G. Sampson and Kinshuk and Ronghuai Huang and Nian-Shing Chen and Paul Resta}, publisher = {IEEE Computer Society}, isbn = {978-1-4673-9041-5}, }