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Cha H J, Kim Y S, Park S H, et al. Learning styles diagnosis based on user interface behaviors for the customization of learning interfaces in an intelligent tutoring system[C]// Proceedings of the 8th International Conference on Intelligent tutoring systems. Taiwan: Springer, 2006: 513-524.
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Burns H, Luckhardt C A, Parlett J W, et al. Intelligent Tutoring Systems: Evolutions in Design[M]. Psychology Press, 2014.
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[3] |
Anderson A, Huttenlocher D, Kleinberg J, et al. Engaging with massive online courses[C]// Proceedings of the 23rd International Conference on World Wide Web. Seoul, Korea: ACM Press, 2014: 687-698.
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[4] |
Romero C, Ventura S. Educational data mining: a review of the state of the art[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 2010, 40(6): 601-618.
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Scheuer O, McLaren B M. Educational data mining[C]//Encyclopedia of the Sciences of Learning. New York, USA: Springer, 2012: 1075-1079.
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Baker R S J D, Yacef K. The state of educational data mining in 2009: A review and future visions[J]. JEDM-Journal of Educational Data Mining, 2009, 1(1): 3-17.
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[7] |
Calders T, Pechenizkiy M. Introduction to the special section on educational data mining[J]. ACM SIGKDD Explorations Newsletter, 2012, 13(2): 3-6.
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DeVellis R F. Classical test theory[J]. Medical Care, 2006, 44(11S): S50-S59.
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Fan X T. Item response theory and classical test theory: An empirical comparison of their item/person statistics[J]. Educational and Psychological Measurement, 1998, 58(3): 357-381.
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DiBello L V, Roussos L A, Stout W. 31A Review of Cognitively Diagnostic Assessment and a Summary of Psychometric Models[M]. Handbook of statistics, 2006, 26: 979-1030.
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Harwell M R, Baker F B, Zwarts M. Item parameter estimation via marginal maximum likelihood and an EM algorithm: A didactic[J]. Journal of Educational and Behavioral Statistics, 1988, 13(3): 243-271.
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[12] |
de La Torre J. DINA model and parameter estimation: A didactic[J]. Journal of Educational and Behavioral Statistics, 2009, 34(1): 115-130.
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Rupp A A, Templin J. The effects of Q-matrix misspecification on parameter estimates and classification accuracy in the DINA model[J]. Educational and Psychological Measurement, 2008, 68(1): 78-96.
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Thai-Nghe N, Drumond L, Horváth T, et al. Factorization techniques for predicting student performance[J]. Educational Recommender Systems and Technologies: Practices and Challenges, 2011, 37(2): 157-186.
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Mnih A. Salakhutdinov R. Probabilistic matrix factorization[C]//Advances in neural information processing systems , 2007: 1257-1264.
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Koren Y, Bell R, Volinsky C. Matrix factorization techniques for recommender systems[J]. Computer, 2009, 42(8): 30-37.
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Wu R Z, Liu Q, Liu Y P, et al. Cognitive modelling for predicting examinee performance[C]// International Joint Conference on Artificial Intelligence. Buenos Aires, Argentina: ACM Press, 2015.
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Teven J J, McCroskey J C. The relationship of perceived teacher caring with student learning and teacher evaluation[J]. Communication Education, 1997, 46(1): 1-9.
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Darling-Hammond L, Beardsley A, Haertel E, et al. Evaluating teacher evaluation: What we know about value-added models and other methods[J]. Phi Delta Kappan, 2012, 93(6): 8-15.
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Ballou D, Sanders W, Wright P. Controlling for student background in value-added assessment of teachers[J]. Journal of Educational and Behavioral Statistics, 2004, 29(1): 37-65.
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任玉丹,边玉芳.美国学校增值性评价模式研究[J].比较教育研究, 2012, (2): 76-79.Ren Y D, Bian Y F. Study on the value added assessment System for school in America[J]. Comparative Education Review, 2012, (2): 76-79.
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Bovo A, Sanchez S, Héguy O, et al. Analysis of students clustering results based on Moodle log data[C]// 6th International Conference on Educational Data Mining-EDM. Memphis, USA: ACM Press, 2013: 306-307.
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Shi N Y, Chen K, Li C H. The application of fuzzy clustering in teacher-evaluating model[C]// IEEE International Symposium on IT in Medicine & Education. IEEE Press, 2009, 1: 872-875.
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全通教育[EB/IL]. http://www.qtone.cn/.
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猿题库[EB/IL]. http://www.yuantiku.com/.
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Knewton[EB/IL]. https://www.knewton.com/.)
|
[1] |
Cha H J, Kim Y S, Park S H, et al. Learning styles diagnosis based on user interface behaviors for the customization of learning interfaces in an intelligent tutoring system[C]// Proceedings of the 8th International Conference on Intelligent tutoring systems. Taiwan: Springer, 2006: 513-524.
|
[2] |
Burns H, Luckhardt C A, Parlett J W, et al. Intelligent Tutoring Systems: Evolutions in Design[M]. Psychology Press, 2014.
|
[3] |
Anderson A, Huttenlocher D, Kleinberg J, et al. Engaging with massive online courses[C]// Proceedings of the 23rd International Conference on World Wide Web. Seoul, Korea: ACM Press, 2014: 687-698.
|
[4] |
Romero C, Ventura S. Educational data mining: a review of the state of the art[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 2010, 40(6): 601-618.
|
[5] |
Scheuer O, McLaren B M. Educational data mining[C]//Encyclopedia of the Sciences of Learning. New York, USA: Springer, 2012: 1075-1079.
|
[6] |
Baker R S J D, Yacef K. The state of educational data mining in 2009: A review and future visions[J]. JEDM-Journal of Educational Data Mining, 2009, 1(1): 3-17.
|
[7] |
Calders T, Pechenizkiy M. Introduction to the special section on educational data mining[J]. ACM SIGKDD Explorations Newsletter, 2012, 13(2): 3-6.
|
[8] |
DeVellis R F. Classical test theory[J]. Medical Care, 2006, 44(11S): S50-S59.
|
[9] |
Fan X T. Item response theory and classical test theory: An empirical comparison of their item/person statistics[J]. Educational and Psychological Measurement, 1998, 58(3): 357-381.
|
[10] |
DiBello L V, Roussos L A, Stout W. 31A Review of Cognitively Diagnostic Assessment and a Summary of Psychometric Models[M]. Handbook of statistics, 2006, 26: 979-1030.
|
[11] |
Harwell M R, Baker F B, Zwarts M. Item parameter estimation via marginal maximum likelihood and an EM algorithm: A didactic[J]. Journal of Educational and Behavioral Statistics, 1988, 13(3): 243-271.
|
[12] |
de La Torre J. DINA model and parameter estimation: A didactic[J]. Journal of Educational and Behavioral Statistics, 2009, 34(1): 115-130.
|
[13] |
Rupp A A, Templin J. The effects of Q-matrix misspecification on parameter estimates and classification accuracy in the DINA model[J]. Educational and Psychological Measurement, 2008, 68(1): 78-96.
|
[14] |
Thai-Nghe N, Drumond L, Horváth T, et al. Factorization techniques for predicting student performance[J]. Educational Recommender Systems and Technologies: Practices and Challenges, 2011, 37(2): 157-186.
|
[15] |
Mnih A. Salakhutdinov R. Probabilistic matrix factorization[C]//Advances in neural information processing systems , 2007: 1257-1264.
|
[16] |
Castro F, Vellido A, Nebot , et al. Applying data mining techniques to e-learning problems[A]// Evolution of Teaching and Learning Paradigms in Intelligent Environment. Berlin Heidelberg: Springer, 2007: 183-221.
|
[17] |
Koren Y, Bell R, Volinsky C. Matrix factorization techniques for recommender systems[J]. Computer, 2009, 42(8): 30-37.
|
[18] |
Nichols P D, Chipman S F, Brennan R L, et al. Cognitively Diagnostic Assessment[M]. Mahwah, USA: Lawrence Erlbaum Associates, 1995.
|
[19] |
Wu R Z, Liu Q, Liu Y P, et al. Cognitive modelling for predicting examinee performance[C]// International Joint Conference on Artificial Intelligence. Buenos Aires, Argentina: ACM Press, 2015.
|
[20] |
Teven J J, McCroskey J C. The relationship of perceived teacher caring with student learning and teacher evaluation[J]. Communication Education, 1997, 46(1): 1-9.
|
[21] |
Baker E L, Barton P E, Darling-Hammond L, et al. Problems with the use of student test scores to evaluate teachers[R]. EPI Briefing Paper# 278, Economic Policy Institute, 2010.
|
[22] |
Darling-Hammond L, Beardsley A, Haertel E, et al. Evaluating teacher evaluation: What we know about value-added models and other methods[J]. Phi Delta Kappan, 2012, 93(6): 8-15.
|
[23] |
Ballou D, Sanders W, Wright P. Controlling for student background in value-added assessment of teachers[J]. Journal of Educational and Behavioral Statistics, 2004, 29(1): 37-65.
|
[24] |
任玉丹,边玉芳.美国学校增值性评价模式研究[J].比较教育研究, 2012, (2): 76-79.Ren Y D, Bian Y F. Study on the value added assessment System for school in America[J]. Comparative Education Review, 2012, (2): 76-79.
|
[25] |
Bovo A, Sanchez S, Héguy O, et al. Analysis of students clustering results based on Moodle log data[C]// 6th International Conference on Educational Data Mining-EDM. Memphis, USA: ACM Press, 2013: 306-307.
|
[26] |
Shi N Y, Chen K, Li C H. The application of fuzzy clustering in teacher-evaluating model[C]// IEEE International Symposium on IT in Medicine & Education. IEEE Press, 2009, 1: 872-875.
|
[27] |
全通教育[EB/IL]. http://www.qtone.cn/.
|
[28] |
猿题库[EB/IL]. http://www.yuantiku.com/.
|
[29] |
Knewton[EB/IL]. https://www.knewton.com/.)
|