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Volumn 7315 LNCS, Issue , 2012, Pages 454-463

Item to skills mapping: Deriving a conjunctive Q-matrix from data

Author keywords

matrix factorization; NMF; Psychometrics; Q matrix; Skills modeling; Student model; SVD

Indexed keywords

MATRIX FACTORIZATIONS; NMF; PSYCHOMETRICS; Q-MATRIX; STUDENT MODELS;

EID: 84862492503     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-30950-2_58     Document Type: Conference Paper
Times cited : (26)

References (11)
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  • 3
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    • Conditions for effectively deriving a q-matrix from data with non-negative matrix factorization
    • Conati, C., Ventura, S., Calders, T., Pechenizkiy, M. (eds.)
    • Desmarais, M.C.: Conditions for effectively deriving a q-matrix from data with non-negative matrix factorization. In: Conati, C., Ventura, S., Calders, T., Pechenizkiy, M. (eds.) 4th International Conference on Educational Data Mining, EDM 2011, Eindhoven, Netherlands, June 6-8, pp. 41-50 (2011)
    • (2011) 4th International Conference on Educational Data Mining, EDM 2011, Eindhoven, Netherlands, June 6-8 , pp. 41-50
    • Desmarais, M.C.1
  • 5
    • 84857285263 scopus 로고    scopus 로고
    • Using mixed-effects modeling to analyze different grain-sized skill models in an intelligent tutoring system
    • Feng, M., Heffernan, N.T., Heffernan, C., Mani, M.: Using mixed-effects modeling to analyze different grain-sized skill models in an intelligent tutoring system. IEEE Transactions on Learning Technologies 2, 79-92 (2009)
    • (2009) IEEE Transactions on Learning Technologies , vol.2 , pp. 79-92
    • Feng, M.1    Heffernan, N.T.2    Heffernan, C.3    Mani, M.4
  • 6
    • 77954069195 scopus 로고    scopus 로고
    • A flexible R package for nonnegative matrix factorization
    • Gaujoux, R., Seoighe, C.: A flexible R package for nonnegative matrix factorization. BMC Bioinformatics 11(367) (2010), http://www.biomedcentral.com/ 1471-2105/11/367
    • (2010) BMC Bioinformatics , vol.11 , Issue.367
    • Gaujoux, R.1    Seoighe, C.2
  • 8
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • Lee, D.D., Sebastian Seung, H.: Learning the parts of objects by non-negative matrix factorization. Nature 401(6755), 788-791 (1999)
    • (1999) Nature , vol.401 , Issue.6755 , pp. 788-791
    • Lee, D.D.1    Sebastian Seung, H.2
  • 9
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    • Rule space: An approach for dealing with misconceptions based on item response theory
    • Tatsuoka, K.K.: Rule space: An approach for dealing with misconceptions based on item response theory. Journal of Educational Measurement 20, 345-354 (1983)
    • (1983) Journal of Educational Measurement , vol.20 , pp. 345-354
    • Tatsuoka, K.K.1
  • 11
    • 84862494582 scopus 로고    scopus 로고
    • Investigating generative factors of score matrices
    • Luckin, R., Koedinger, K.R., Greer, J.E. (eds.) Artificial Intelligence in Education, Building Technology Rich Learning Contexts That Work, Proceedings of the 13th International Conference on Artificial Intelligence in Education, AIED 2007, Los Angeles, California, USA, July 9-13. IOS Press
    • Winters, T., Shelton, C.R., Payne, T.: Investigating generative factors of score matrices. In: Luckin, R., Koedinger, K.R., Greer, J.E. (eds.) Artificial Intelligence in Education, Building Technology Rich Learning Contexts That Work, Proceedings of the 13th International Conference on Artificial Intelligence in Education, AIED 2007, Los Angeles, California, USA, July 9-13. Frontiers in Artificial Intelligence and Applications, vol. 158, pp. 479-486. IOS Press (2007)
    • (2007) Frontiers in Artificial Intelligence and Applications , vol.158 , pp. 479-486
    • Winters, T.1    Shelton, C.R.2    Payne, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.