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Volumn , Issue , 2012, Pages

Dynamic cognitive tracing: Towards unified discovery of student and cognitive models

Author keywords

[No Author keywords available]

Indexed keywords

COGNITIVE SYSTEMS; COMPUTER AIDED INSTRUCTION; DATA MINING; LEARNING SYSTEMS;

EID: 85084012375     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (36)

References (28)
  • 1
    • 70349862120 scopus 로고    scopus 로고
    • More accurate student modeling through contextual estimation of slip and guess probabilities in bayesian knowledge tracing
    • B. Woolf, E. Aïmeur, R. Nkambou, and S. Lajoie, editors, Springer Berlin / Heidelberg, ISBN
    • R. Baker, A. Corbett, and V. Aleven. More accurate student modeling through contextual estimation of slip and guess probabilities in bayesian knowledge tracing. In B. Woolf, E. Aïmeur, R. Nkambou, and S. Lajoie, editors, Intelligent Tutoring Systems, volume 5091 of Lecture Notes in Computer Science, pages 406–415. Springer Berlin / Heidelberg, 2008. ISBN 978-3-540-69130-3. URL http://dx.doi.org/10.1007/978-3-540-69132-7_44.
    • (2008) Intelligent Tutoring Systems, Volume 5091 of Lecture Notes in Computer Science , pp. 406-415
    • Baker, R.1    Corbett, A.2    Aleven, V.3
  • 2
    • 33746346909 scopus 로고    scopus 로고
    • The q-matrix method: Mining student response data for knowledge
    • J. Beck, editor, Pittsburgh, PA
    • T. Barnes. The q-matrix method: Mining student response data for knowledge. In J. Beck, editor, Proceedings of AAAI 2005: Educational Data Mining Workshop, pages 978–980, Pittsburgh, PA, 2005.
    • (2005) Proceedings of AAAI 2005: Educational Data Mining Workshop , pp. 978-980
    • Barnes, T.1
  • 3
    • 26944481133 scopus 로고    scopus 로고
    • Experimental analysis of the q-matrix method in knowledge discovery
    • M.-S. Hacid, N. Murray, Z. Ras, and S. Tsumoto, editors, Springer Berlin / Heidelberg
    • T. Barnes, D. Bitzer, and M. Vouk. Experimental analysis of the q-matrix method in knowledge discovery. In M.-S. Hacid, N. Murray, Z. Ras, and S. Tsumoto, editors, Foundations of Intelligent Systems, volume 3488 of Lecture Notes in Computer Science, pages 11–41. Springer Berlin / Heidelberg, 2005. ISBN 978-3-540-25878-0. URL http://dx.doi.org/10.1007/11425274_62.
    • (2005) Foundations of Intelligent Systems, Volume 3488 of Lecture Notes in Computer Science , pp. 11-41
    • Barnes, T.1    Bitzer, D.2    Vouk, M.3
  • 5
    • 37249084018 scopus 로고    scopus 로고
    • Identifiability: A fundamental problem of student modeling
    • C. Conati, K. McCoy, and G. Paliouras, editors, Springer Berlin / Heidelberg
    • J. Beck and K.-M. Chang. Identifiability: A fundamental problem of student modeling. In C. Conati, K. McCoy, and G. Paliouras, editors, User Modeling 2007, volume 4511 of Lecture Notes in Computer Science, pages 137–146. Springer Berlin / Heidelberg, 2007. URL http://dx.doi.org/10.1007/ 978-3-540-73078-1_17.
    • (2007) User Modeling 2007, Volume 4511 of Lecture Notes in Computer Science , pp. 137-146
    • Beck, J.1    Chang, K.-M.2
  • 6
    • 70349849687 scopus 로고    scopus 로고
    • How who should practice: Using learning decomposition to evaluate the efficacy of different types of practice for different types of students
    • B. Woolf, E. Ameur, R. Nkambou, and S. Lajoie, editors, Springer Berlin / Heidelberg
    • J. Beck and J. Mostow. How who should practice: Using learning decomposition to evaluate the efficacy of different types of practice for different types of students. In B. Woolf, E. Ameur, R. Nkambou, and S. Lajoie, editors, Intelligent Tutoring Systems, volume 5091 of Lecture Notes in Computer Science, pages 353–362. Springer Berlin / Heidelberg, 2008. ISBN 978-3-540-69130-3.
    • (2008) Intelligent Tutoring Systems, Volume 5091 of Lecture Notes in Computer Science , pp. 353-362
    • Beck, J.1    Mostow, J.2
  • 7
    • 33746362586 scopus 로고    scopus 로고
    • Learning factors analysis: A general method for cognitive model evaluation and improvement
    • M. Ikeda, K. Ashley, and T.-W. Chan, editors, Springer Berlin / Heidelberg
    • H. Cen, K. Koedinger, and B. Junker. Learning factors analysis: A general method for cognitive model evaluation and improvement. In M. Ikeda, K. Ashley, and T.-W. Chan, editors, Intelligent Tutoring Systems, volume 4053 of Lecture Notes in Computer Science, pages 164–175. Springer Berlin / Heidelberg, 2006. URL http://dx.doi.org/10.1007/11774303_17.
    • (2006) Intelligent Tutoring Systems, Volume 4053 of Lecture Notes in Computer Science , pp. 164-175
    • Cen, H.1    Koedinger, K.2    Junker, B.3
  • 8
    • 84943171571 scopus 로고    scopus 로고
    • Cognitive computer tutors: Solving the two-sigma problem
    • M. Bauer, Gmytrasiewicz, and J. Vassileva, editors, Springer Berlin / Heidelberg
    • A. Corbett. Cognitive computer tutors: Solving the two-sigma problem. In M. Bauer, P. Gmytrasiewicz, and J. Vassileva, editors, User Modeling 2001, volume 2109 of Lecture Notes in Computer Science, pages 137–147. Springer Berlin / Heidelberg, 2001. ISBN 978-3-540-42325-6. URL http://dx.doi.org/10.1007/ 3-540-44566-8_14.
    • (2001) User Modeling 2001, Volume 2109 of Lecture Notes in Computer Science , pp. 137-147
    • Corbett, A.1
  • 9
    • 0000262490 scopus 로고
    • Knowledge tracing: Modeling the acquisition of procedural knowledge
    • A. Corbett and J. Anderson. Knowledge tracing: Modeling the acquisition of procedural knowledge. User modeling and user-adapted interaction, 4(4):253–278, 1994.
    • (1994) User Modeling and User-Adapted Interaction , vol.4 , Issue.4 , pp. 253-278
    • Corbett, A.1    Anderson, J.2
  • 11
    • 84857495687 scopus 로고    scopus 로고
    • Conditions for effectively deriving a q-matrix from data with non-negative matrix factorization. Best paper award
    • Eindhoven, Netherlands
    • M. Desmarais. Conditions for effectively deriving a q-matrix from data with non-negative matrix factorization. best paper award. In EDM, pages 41–50, Eindhoven, Netherlands, 2011.
    • (2011) EDM , pp. 41-50
    • Desmarais, M.1
  • 12
    • 0031268341 scopus 로고    scopus 로고
    • Factorial hidden markov models
    • Z. Ghahramani and M. Jordan. Factorial hidden markov models. Machine learning, 29(2):245–273, 1997.
    • (1997) Machine Learning , vol.29 , Issue.2 , pp. 245-273
    • Ghahramani, Z.1    Jordan, M.2
  • 13
    • 84860525845 scopus 로고    scopus 로고
    • A fully bayesian approach to unsupervised part-of-speech tagging
    • Prague, Czech Republic, June Association for Computational Linguistics. URL
    • S. Goldwater and T. Griffiths. A fully bayesian approach to unsupervised part-of-speech tagging. In Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics, pages 744–751, Prague, Czech Republic, June 2007. Association for Computational Linguistics. URL http://www.aclweb.org/anthology/P07-1094.
    • (2007) Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics , pp. 744-751
    • Goldwater, S.1    Griffiths, T.2
  • 14
    • 79957446210 scopus 로고    scopus 로고
    • Comparing knowledge tracing and performance factor analysis by using multiple model fitting procedures
    • Aleven, J. Kay, and J. Mostow, editors, Springer Berlin / Heidelberg
    • Y. Gong, J. Beck, and N. Heffernan. Comparing knowledge tracing and performance factor analysis by using multiple model fitting procedures. In V. Aleven, J. Kay, and J. Mostow, editors, Intelligent Tutoring Systems, volume 6094 of Lecture Notes in Computer Science, pages 35–44. Springer Berlin / Heidelberg, 2010. ISBN 978-3-642-13387-9.
    • (2010) Intelligent Tutoring Systems, Volume 6094 of Lecture Notes in Computer Science , pp. 35-44
    • Gong, Y.1    Beck, J.2    Heffernan, N.3
  • 16
    • 0000262562 scopus 로고
    • Hierarchical mixtures of experts and the em algorithm
    • M. Jordan and R. Jacobs. Hierarchical mixtures of experts and the em algorithm. Neural computation, 6(2): 181–214, 1994.
    • (1994) Neural Computation , vol.6 , Issue.2 , pp. 181-214
    • Jordan, M.1    Jacobs, R.2
  • 18
    • 0003229133 scopus 로고    scopus 로고
    • The bayes net toolbox for matlab
    • K. Murphy. The bayes net toolbox for matlab. Computing science and statistics, 33(2):1024–1034, 2001.
    • (2001) Computing Science and Statistics , vol.33 , Issue.2 , pp. 1024-1034
    • Murphy, K.1
  • 21
    • 0022594196 scopus 로고
    • An introduction to hidden markov models
    • L. Rabiner and B. Juang. An introduction to hidden markov models. ASSP Magazine, IEEE, 3(1):4–16, 1986.
    • (1986) ASSP Magazine, IEEE , vol.3 , Issue.1 , pp. 4-16
    • Rabiner, L.1    Juang, B.2
  • 22
    • 85006883126 scopus 로고    scopus 로고
    • Student modelling based on belief networks
    • January
    • J. Reye. Student modelling based on belief networks. Int. J. Artif. Intell. Ed., 14:63–96, January 2004. ISSN 1560-4292. URL http://dl.acm.org/citation.cfm?id=1434852.1434856.
    • (2004) Int. J. Artif. Intell. Ed. , vol.14 , pp. 63-96
    • Reye, J.1
  • 25
    • 78650231614 scopus 로고    scopus 로고
    • Recommender system for predicting student performance
    • N. Thai-Nghe, L. Drumond, A. Krohn-Grimberghe, and L. Schmidt-Thieme. Recommender system for predicting student performance. Procedia Computer Science, 1 (2):2811 – 2819, 2010. ISSN 1877-0509. doi: 10.1016/j. procs.2010.08.006. URL http://www.sciencedirect.com/science/article/pii/S1877050910003194.
    • (2010) Procedia Computer Science , vol.1 , Issue.2 , pp. 2811-2819
    • Thai-Nghe, N.1    Drumond, L.2    Krohn-Grimberghe, A.3    Schmidt-Thieme, L.4
  • 28
    • 84863116488 scopus 로고    scopus 로고
    • Using logistic regression to trace multiple subskills in a dynamic bayes net
    • M. Pechenizkiy, T. Calders, C. Conati, S. Ventura, C. Romero, and J. Stamper, editors, Eindhoven, Netherlands
    • Y. Xu and J. Mostow. Using logistic regression to trace multiple subskills in a dynamic bayes net. In M. Pechenizkiy, T. Calders, C. Conati, S. Ventura, C. Romero, and J. Stamper, editors, Proceedings of the 4th International Conference on Educational Data Mining, pages 241–245, Eindhoven, Netherlands, 2011.
    • (2011) Proceedings of the 4th International Conference on Educational Data Mining , pp. 241-245
    • Xu, Y.1    Mostow, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.