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@inproceedings{1231855, author = {Bydžovská, Hana}, address = {Madrid}, booktitle = {17th International Conference on Artificial Inteligence in Education - AIED 2015}, doi = {http://dx.doi.org/10.1007/978-3-319-19773-9_59}, editor = {Conati, Heffernan, Mitrovic, Verdejo}, keywords = {Student Performance; Prediction; Collaborative Filtering Methods; Recommender System}, howpublished = {paměťový nosič}, language = {eng}, location = {Madrid}, isbn = {978-3-319-19772-2}, pages = {550-553}, publisher = {Springer International Publishing}, title = {Student Performance Prediction Using Collaborative Filtering Methods}, year = {2015} }
TY - JOUR ID - 1231855 AU - Bydžovská, Hana PY - 2015 TI - Student Performance Prediction Using Collaborative Filtering Methods PB - Springer International Publishing CY - Madrid SN - 9783319197722 KW - Student Performance KW - Prediction KW - Collaborative Filtering Methods KW - Recommender System N2 - This paper shows how to utilize collaborative filtering methods for student performance prediction. These methods are often used in recommender systems. The basic idea of such systems is to utilize the similarity of users based on their ratings of the items in the system. We have decided to employ these techniques in the educational environment to predict student performance. We calculate the similarity of students utilizing their study results, represented by the grades of their previously passed courses. As a real-world example we show results of the performance prediction of students who attended courses at Masaryk University. We describe the data, processing phase, evaluation, and finally the results proving the success of this approach. ER -
BYDŽOVSKÁ, Hana. Student Performance Prediction Using Collaborative Filtering Methods. In Conati, Heffernan, Mitrovic, Verdejo. \textit{17th International Conference on Artificial Inteligence in Education - AIED 2015}. Madrid: Springer International Publishing, 2015, s.~550-553. ISBN~978-3-319-19772-2. Dostupné z: https://dx.doi.org/10.1007/978-3-319-19773-9\_{}59.
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