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Volumn , Issue , 2011, Pages 41-50

Conditions for efectively deriving a q-matrix from data with non-negative matrix factorization

Author keywords

[No Author keywords available]

Indexed keywords

LOWER AND UPPER BOUNDS; NONNEGATIVE MATRIX FACTORIZATION; PARTIAL AUTOMATION; SIMULATED DATA; SIMULATION APPROACH; SUPPORTIVE TOOLS; TEST PERFORMANCE; VISUALIZATION TECHNIQUE;

EID: 84857495687     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (31)

References (10)
  • 1
    • 33746074815 scopus 로고    scopus 로고
    • Evaluation of the q-matrix method in understanding student logic proofs
    • Melbourne Beach, Florida, USA, May 11-13, 2006, G. Sutcliffe and R. Goebel, Eds. AAAI Press
    • Barnes, T. 2006. Evaluation of the q-matrix method in understanding student logic proofs. In Proceedings of the Nineteenth International Florida Arti-cial Intelligence Research Society Conference, Melbourne Beach, Florida, USA, May 11-13, 2006, G. Sutcliffe and R. Goebel, Eds. AAAI Press, 491-496.
    • (2006) Proceedings of the Nineteenth International Florida Arti-cial Intelligence Research Society Conference , pp. 491-496
    • Barnes, T.1
  • 3
    • 33646043734 scopus 로고    scopus 로고
    • Automating cognitive model improvement by A* search and logistic regression
    • J. Beck, Ed. Technical Report WS-05-02. Menlo Park, California: AAAI Press
    • Cen, H., Koedinger, K. R., and Junker, B. 2005. Automating cognitive model improvement by A* search and logistic regression. In Educational Data Mining: Papers from the 2005 AAAI Workshop., J. Beck, Ed. Technical Report WS-05-02. Menlo Park, California: AAAI Press, 47-53.
    • (2005) Educational Data Mining: Papers from the 2005 AAAI Workshop , pp. 47-53
    • Cen, H.1    Koedinger, K.R.2    Junker, B.3
  • 4
    • 33746362586 scopus 로고    scopus 로고
    • Learning factors analysis - A general method for cognitive model evaluation and improvement
    • Jhongli, Taiwan, June 26-30, 2006, Proceedings
    • Cen, H., Koedinger, K. R., and Junker, B. 2006. Learning factors analysis - A general method for cognitive model evaluation and improvement. In Intelligent Tutoring Systems, 8th International Conference, ITS 2006, Jhongli, Taiwan, June 26-30, 2006, Proceedings. 164-175.
    • (2006) Intelligent Tutoring Systems, 8th International Conference, ITS 2006 , pp. 164-175
    • Cen, H.1    Koedinger, K.R.2    Junker, B.3
  • 5
    • 84857473234 scopus 로고    scopus 로고
    • consulted on April 2, 2011
    • CollegeBoard. 2011. Sat subject tests practice questions. http://sat.collegeboard.com/practice/sat-subject-test-preparation (consulted on April 2, 2011).
    • (2011) Sat Subject Tests Practice Questions
  • 6
    • 84857493484 scopus 로고    scopus 로고
    • On the faithfulness of simulated student performance data
    • R. S. J. de Baker, A. Merceron, and P. I. Pavlik, Eds.
    • Desmarais, M. C. and Pelczer, I. 2010. On the faithfulness of simulated student performance data. In 3rd Inter- national Conference on Educational Data Mining EDM2010, R. S. J. de Baker, A. Merceron, and P. I. Pavlik, Eds. www.educationaldatamining.org, 21-30.
    • (2010) 3rd Inter- National Conference on Educational Data Mining EDM2010 , pp. 21-30
    • Desmarais, M.C.1    Pelczer, I.2
  • 7
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • Lee, D. D. and Seung, H. S. 1999. Learning the parts of objects by non-negative matrix factorization. Nature 401, 6755, 788-791.
    • (1999) Nature , vol.401 , Issue.6755 , pp. 788-791
    • Lee, D.D.1    Seung, H.S.2
  • 9
    • 85024968994 scopus 로고
    • Rule space: An approach for dealing with misconceptions based on item response theory
    • Tatsuoka, K. K. 1983. Rule space: An approach for dealing with misconceptions based on item response theory. Journal of Educational Measurement 20, 345-354.
    • (1983) Journal of Educational Measurement , vol.20 , pp. 345-354
    • Tatsuoka, K.K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.