메뉴 건너뛰기




Volumn 44, Issue 4, 2007, Pages 341-359

Modeling diagnostic assessments with bayesian networks

Author keywords

[No Author keywords available]

Indexed keywords


EID: 36348987259     PISSN: 00220655     EISSN: 17453984     Source Type: Journal    
DOI: 10.1111/j.1745-3984.2007.00043.x     Document Type: Article
Times cited : (58)

References (24)
  • 1
    • 84885001403 scopus 로고    scopus 로고
    • In. K. B. Laskey, S. M. Mahoney, & J. A. Goldsmith (. EdsProceedings of the 5th UAI Bayesian Application Workshop. CEUR Workshop Proceeding. Available online at
    • Almond, R. G. (2007 I can name that Bayesian network in two matrixes¡ In K. B. Laskey, S. M. Mahoney, & J. A. Goldsmith (Eds Proceedings of the 5th UAI Bayesian Application Workshop. CEUR Workshop Proceeding. Available online at http://ftp.informatik.rwth-aachen.de/ Publications/CEUR-WS/Vol.268/.
    • (2007) I Can Name That Bayesian Network in Two Matrixes¡
    • Almond, R.G.1
  • 2
    • 34147094051 scopus 로고    scopus 로고
    • Models for conditional probability tables in educational assessment
    • & In. T. Jaakkola. & T. Richardson (. Eds. pp.). Morgan Kaufmann (.).
    • Almond, R., DiBello, L., Jenkins, F., Mislevy, R., Senturk, D., Steinberg, L., & Yan, D. (2001). Models for conditional probability tables in educational assessment. In T. Jaakkola & T. Richardson (Eds Artificial intelligence and statistics 2001 (pp. 137 143). Morgan Kaufmann (http://www.mkp.com/).
    • (2001) Artificial Intelligence and Statistics 2001 ( , pp. 137-143
    • Almond, R.1    Dibello, L.2    Jenkins, F.3    Mislevy, R.4    Senturk, D.5    Steinberg, L.6    Yan, D.7
  • 3
  • 5
    • 36348930243 scopus 로고    scopus 로고
    • & Paper presented at the 4th Bayesian Modeling Application Workshop at the Conference on Uncertainty in Artificial Intelligence, Cambridge, MA.
    • Almond, R. G., Shute, V. J., Underwood, J. S., & Zapata-Rivera, J. D. (2006). Bayesian networks: A teacher's view. Paper presented at the 4th Bayesian Modeling Application Workshop at the Conference on Uncertainty in Artificial Intelligence, Cambridge, MA.
    • (2006) Bayesian Networks: A Teacher's View
    • Almond, R.G.1    Shute, V.J.2    Underwood, J.S.3    Zapata-Rivera, J.D.4
  • 7
    • 80053158041 scopus 로고    scopus 로고
    • Bayesian structure learning using dynamic programming and MCMC
    • & In. R. Parr. & L. van der Gaag (. Eds. pp.). AUAI Press (.).
    • Eaton, D., & Murphy, K. (2007). Bayesian structure learning using dynamic programming and MCMC. In R. Parr & L. van der Gaag (Eds Uncertainty in artificial intelligence: Proceedings of the twenty-third conference (pp. 101 108). AUAI Press (http://www.quai.org/).
    • (2007) Uncertainty in Artificial Intelligence: Proceedings of the Twenty-third Conference , pp. 101-108
    • Eaton, D.1    Murphy, K.2
  • 9
    • 36349011408 scopus 로고    scopus 로고
    • Making diagnostic inferences about cognitive attributes using the rule-space model and attribute hierarchy method
    • Gierl, M. J. Making diagnostic inferences about cognitive attributes using the rule-space model and attribute hierarchy method. Journal of Educational Measurement, this issue, 325 340.
    • Journal of Educational Measurement , pp. 325-340
    • Gierl, M.J.1
  • 10
    • 0003247384 scopus 로고
    • Weight of evidence: A brief survey
    • In. J. Bernardo, M. DeGroot, D. Lindley, & A. Smith (. Eds. pp.). North Holland (.).
    • Good, I. J. (1985). Weight of evidence: A brief survey. In J. Bernardo, M. DeGroot, D. Lindley, & A. Smith (Eds Bayesian statistics 2 (pp. 249 269). North Holland (http://www.elsevier.com/).
    • (1985) Bayesian Statistics 2 , pp. 249-269
    • Good, I.J.1
  • 11
    • 0002370418 scopus 로고    scopus 로고
    • A tutorial on learning with Bayesian networks
    • In. M. I. Jordan (. Eds. pp.). Kluwer Academic Publishers (.).
    • Heckerman, D. (1998). A tutorial on learning with Bayesian networks. In M. I. Jordan (Eds Learning in graphical models (pp. 301 354). Kluwer Academic Publishers (http://www.springer.com/).
    • (1998) Learning in Graphical Models , pp. 301-354
    • Heckerman, D.1
  • 14
    • 0009202781 scopus 로고
    • Test selection strategies for belief networks
    • & In. D. Fisher. & H. J. Lenz (. Eds. pp. Springer-Verlag (.).
    • Madigan, D., & Almond, R. (1995). Test selection strategies for belief networks. In D. Fisher & H. J. Lenz (Eds Learning from data: AI and statistics V (pp. 89-98). Springer-Verlag (http://www.springer.com/).
    • (1995) Learning from Data: AI and Statistics v ( , pp. 89-98
    • Madigan, D.1    Almond, R.2
  • 17
    • 0004292875 scopus 로고    scopus 로고
    • National Research Council (. Committee on the Foundations of Assessment. In. J. Pellegrino, N. Chudowsky, & R. Glaser (. Eds. Board on Testing and Assessment, Center for Education. Division of Behavioral and Social Sciences and Education. Washington, DC: National Academy Press.
    • National Research Council (2001). Knowing what students know: The science and design of educational assessment. Committee on the Foundations of Assessment. In J. Pellegrino, N. Chudowsky, & R. Glaser (Eds Board on Testing and Assessment, Center for Education. Division of Behavioral and Social Sciences and Education. Washington, DC : National Academy Press.
    • (2001) Knowing What Students Know: The Science and Design of Educational Assessment.
  • 21
    • 36348976711 scopus 로고    scopus 로고
    • Designing adaptive, diagnostic math assessments for individuals with and without visual disabilities
    • & In. L. M. Pytlikzillig, R. H. Bruning, & M. Bodvarsson (. Eds. pp.). Greenwich, CT: Information Age Publishing.
    • Shute, V. J., Graf, E. A., & Hansen, E. G. (2005). Designing adaptive, diagnostic math assessments for individuals with and without visual disabilities. In L. M. Pytlikzillig, R. H. Bruning, & M. Bodvarsson (Eds Technology-based education: Bringing researchers and practitioners together (pp. 169 202). Greenwich, CT : Information Age Publishing.
    • (2005) Technology-based Education: Bringing Researchers and Practitioners Together ( , pp. 169-202
    • Shute, V.J.1    Graf, E.A.2    Hansen, E.G.3
  • 24
    • 84858470285 scopus 로고    scopus 로고
    • Bayesian network model for the ICT Literacy assessment
    • & Draft Technical report, Version 1.9 dated Dec 16, 2005
    • Yan, D., Almond, R., & Hemat, L. (2005). Bayesian network model for the ICT Literacy assessment. Draft Technical report, Version 1.9 dated Dec 16, 2005. Educational Testing Service. Available from http://ralmond@ets.org.
    • (2005) Educational Testing Service.
    • Yan, D.1    Almond, R.2    Hemat, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.