[1] |
Anderson J R , Boyle C F , Reiser B J . Intelligent tutoring systems. Science, 1985,228(4698):456~462
|
[2] |
Romero C , Ventura S . Educational data mining: a review of the state of the art. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 2010,40(6): 601~618
|
[3] |
Lindsey R V , Khajah M , Mozer M C . Automatic discovery of cognitive skills to improve the prediction of student learning. Advances in Neural Information Processing Systems, 2014:1386~1394
|
[4] |
Ritter S , Anderson J R , Koedinger K R , et al. Cognitive tutor: applied research in mathematics education. Psychonomic Bulletin & Review, 2007,14(2):249~255
|
[5] |
Qiu J Z , Tang J , Liu T X , et al. Modeling and predicting learning behavior in MOOCs. Proceedings of the 9th ACM International Conference on Web Search and Data Mining (WSDM'16), San Francisco, USA, 2016Accepted
|
[6] |
Ramesh A , Goldwasser D , Huang B , et al. Learning latent engagement patterns of students in online courses. Proceedings of the 28th AAAI Conference on Artificial Intelligence , Quebec City, Canada, 2014
|
[7] |
Anderson A , Huttenlocher D , Kleinberg J , et al. Engaging with massive online courses. Proceedings of the 23rd International Conference on World Wide Web , Seoul, Korea, 2014:687~698
|
[8] |
Seo M , Hajishirzi H , Farhadi A , et al. Solving geometry problems: combining text and diagram interpretation. Proceedings of EMNLP, Lisbon, Portugal, 2015
|
[9] |
Hosseini M J , Hajishirzi H , Etzioni O , et al. Learning to solve arithmetic word problems with verb categorization. Proceedings of EMNLP, Doha, Qatar, 2014
|
[10] |
Tamhane A , Ikbal S , Sengupta B , et al. Predicting student risks through longitudinal analysis. Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, New York, USA, 2014:1544~1552
|