Joint topic modeling and factor analysis of textual information and graded response data

Proceedings of the 6th International Conference on Educational Data Mining, EDM 2013

Volumn , Issue , 2013, Pages

  Lan, Andrew S ^a   Studer, Christoph ^a   Waters, Andrew E ^a   Baraniuk, Richard G ^a  

^a RICE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; FACTOR ANALYSIS; MULTIVARIANT ANALYSIS;

DATA-DRIVEN APPROACH; HUMAN ANNOTATIONS; INTERPRETABILITY; MODERN MACHINES; PERSONALIZED LEARNING SYSTEMS; POST PROCESSING; PREDICTION PERFORMANCE; TEXTUAL INFORMATION;

LEARNING SYSTEMS;

EID: 85084012992     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

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3. A. S. Lan, C. Studer, A. E. Waters, and R. G. Baraniuk. Joint topic mmodeling and factor analysis of textual information and graded response data. arXiv preprint: arxiv.org/abs/1305.1956.
4. A. S. Lan, A. E. Waters, C. Studer, and R. G. Baraniuk. Sparse factor analysis for learning and content analytics. Oct. 2012, submitted.
5. STEMscopes Science Education. http://stemscopes.com, Sep. 2012.
6. J. Zhu and E. P. Xing. Sparse topical coding. In Proc. 27th Conf. on Uncertainty in Artificial Intelligence, Mar. 2011.