메뉴 건너뛰기




Volumn 19, Issue 6, 2010, Pages 733-753

Modelling student interactions in intelligent learning environments: Constructing bayesian networks from data

Author keywords

Interaction modelling; machine learning; student modelling

Indexed keywords

INTELLIGENT LEARNING ENVIRONMENTS; INTERACTION MODELLING; MACHINE-LEARNING; STUDENT INTERACTIONS; TECHNIQUES USED;

EID: 78650923986     PISSN: 02182130     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218213010000406     Document Type: Article
Times cited : (12)

References (52)
  • 2
    • 0002439089 scopus 로고
    • Motivational tech- niques of expert human tutors: Lessons for the design of computer-based tutors
    • Lajoie, S. P. and Derry, S. J., editors, (Lawrence Erlbaum Associates, Hillsdale, New Jersey)
    • Lepper, M. R., Woolverton, M., Mumme, D. L., and Gurtner, J. Motivational tech- niques of expert human tutors: Lessons for the design of computer-based tutors, In Computers as Cognitive Tools, Lajoie, S. P. and Derry, S. J., editors, 75-107 (Lawrence Erlbaum Associates, Hillsdale, New Jersey, 1993).
    • (1993) Computers as Cognitive Tools , pp. 75-107
    • Lepper, M.R.1    Woolverton, M.2    Mumme, D.L.3    Gurtner, J.4
  • 3
    • 0018437959 scopus 로고
    • A theory of motivation for some classroom experiences
    • (Warwick & York)
    • Weiner, B. A theory of motivation for some classroom experiences, Journal of Edu- cational Psychology 71(1), 3-25 (Warwick & York, 1979).
    • (1979) Journal of Edu-cational Psychology , vol.71 , Issue.1 , pp. 3-25
    • Weiner, B.1
  • 7
    • 38749126266 scopus 로고    scopus 로고
    • Diagnosing and acting on student affect: The tutor's perspective
    • Springer Verlag
    • Porayska-Pomsta, K., Mavrikis, M., and Pain, H. Diagnosing and acting on student affect: the tutor's perspective, User Modeling and User-Adapted Interaction 18(1), 125-173 (Springer Verlag, 2008).
    • (2008) User Modeling and User-Adapted Interaction , vol.18 , Issue.1 , pp. 125-173
    • Porayska-Pomsta, K.1    Mavrikis, M.2    Pain, H.3
  • 11
    • 77954605151 scopus 로고    scopus 로고
    • The state of educational data mining in 2009: A review and future visions
    • (International Working Group on Educational Data Mining)
    • Baker, R. and Yacef, K. The state of educational data mining in 2009: A review and future visions, Journal of Educational Data Mining 1(1), 3-17 (International Working Group on Educational Data Mining, 2009).
    • (2009) Journal of Educational Data Mining , vol.1 , Issue.1 , pp. 3-17
    • Baker, R.1    Yacef, K.2
  • 13
    • 0000775795 scopus 로고    scopus 로고
    • The defining characteristics of intelligent tutoring system research: ITSs care, precisely
    • (IOS Press)
    • Self, J. The defining characteristics of intelligent tutoring system research: ITSs care, precisely, International Journal of Artificial Intelligence in Education 10, 350-364 (IOS Press, 1999).
    • (1999) International Journal of Artificial Intelligence in Education , vol.10 , pp. 350-364
    • Self, J.1
  • 14
    • 78650882755 scopus 로고    scopus 로고
    • Using bayesian networks for student modeling
    • Viccari, R. M., Augustin-Jacques, P., and Verdin, R., editors, (IGI Global)
    • Liu, C. I. Using bayesian networks for student modeling, In Agent-based Tutoring Systems By Cognitive and Affective Modeling, Viccari, R. M., Augustin-Jacques, P., and Verdin, R., editors, 97-113 (IGI Global, 2008).
    • (2008) Agent-based Tutoring Systems By Cognitive and Affective Modeling , pp. 97-113
    • Liu, C.I.1
  • 15
    • 38849151677 scopus 로고    scopus 로고
    • User models for adaptive hypermedia and adaptive educational systems
    • Brusilovsky, P., Kobsa, A., and Nejdl, W., editors, volume 4321 of Lecture Notes in Computer Science, Springer, Berlin, Heidelberg
    • Brusilovsky, P. and Millan, E. User models for adaptive hypermedia and adaptive educational systems, In The Adaptive Web, Brusilovsky, P., Kobsa, A., and Nejdl, W., editors, volume 4321 of Lecture Notes in Computer Science, 3-53 (Springer, Berlin, Heidelberg, 2007).
    • (2007) The Adaptive Web , pp. 3-53
    • Brusilovsky, P.1    Millan, E.2
  • 16
    • 0029333008 scopus 로고    scopus 로고
    • Numerical uncertainty management in user and student modeling: An overview of systems and issues
    • Springer
    • Jameson, A. Numerical uncertainty management in user and student modeling: An overview of systems and issues, User Modeling and User-Adapted Interaction 5(4), 193-251 (Springer, 1996).
    • (1996) User Modeling and User-Adapted Interaction , vol.5 , Issue.4 , pp. 193-251
    • Jameson, A.1
  • 17
    • 52949098028 scopus 로고    scopus 로고
    • Adaptive navigation support, learner control and open learner models
    • Nejdl, W., Kay, J., Pu, P., and Herder, E., editors, volume 5149 of Lecture Notes in Computer Science, Chapter 33, Springer Berlin Heidelberg
    • Bull, S., Ahmad, N., Johnson, M., Johan, R., Mabbott, A., and Kerly, A. Adaptive navigation support, learner control and open learner models, In Adaptive Hypermedia and Adaptive Web-Based Systems, Nejdl, W., Kay, J., Pu, P., and Herder, E., editors, volume 5149 of Lecture Notes in Computer Science, Chapter 33, 275-278 (Springer Berlin Heidelberg, 2008).
    • (2008) Adaptive Hypermedia and Adaptive Web-Based Systems , pp. 275-278
    • Bull, S.1    Ahmad, N.2    Johnson, M.3    Johan, R.4    Mabbott, A.5    Kerly, A.6
  • 20
    • 0036671996 scopus 로고    scopus 로고
    • Probabilistic assessment of user's emotions in educational games
    • (IOS Press)
    • Conati, C. Probabilistic assessment of user's emotions in educational games, Journal of Applied Artificial Intelligence 16(7-8), 555-575 (IOS Press, 2002).
    • (2002) Journal of Applied Artificial Intelligence , vol.16 , Issue.7-8 , pp. 555-575
    • Conati, C.1
  • 21
    • 84957054760 scopus 로고    scopus 로고
    • Two-phase updating of student models based on dynamic belief networks
    • Goettl, B. P., Halff, H. M., Redfield, C. L., and Shute, V. J., editors, volume 1452 of Lecture Notes in Computer Science, Springer Berlin Heidelberg
    • Reye, J. Two-phase updating of student models based on dynamic belief networks, In Intelligent Tutoring Systems, Goettl, B. P., Halff, H. M., Redfield, C. L., and Shute, V. J., editors, volume 1452 of Lecture Notes in Computer Science, 274-283 (Springer Berlin Heidelberg, 1998).
    • (1998) Intelligent Tutoring Systems , pp. 274-283
    • Reye, J.1
  • 24
    • 85029510189 scopus 로고
    • Student modeling and mastery learning in a computer- based programming tutor
    • Frasson, C., Gauthier, G., and McCalla, G., editors, volume 608 of Lecture Notes in Computer Science, Springer-Verlag, London
    • Corbett, A. and Anderson, J. Student modeling and mastery learning in a computer- based programming tutor, In Proceedings of the Second International Conference on Intelligent Tutoring Systems, Frasson, C., Gauthier, G., and McCalla, G., editors, volume 608 of Lecture Notes in Computer Science, 413-420 (Springer-Verlag, London, 1992).
    • (1992) Proceedings of the Second International Conference on Intelligent Tutoring Systems , pp. 413-420
    • Corbett, A.1    Anderson, J.2
  • 25
    • 85139076104 scopus 로고    scopus 로고
    • Inferring learning and attitudes with a bayesian network of log files data
    • (Proceedings of AIED-2005 Conference, 18-22 July, 2005, Amsterdam), Looi, C. K., McCalla, G., Bredeweg, B., and Breuker, J., editors), (IOS Press, Amsterdam, Holland)
    • Arroyo, I. and Woolf, B. Inferring learning and attitudes with a bayesian network of log files data, In Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology (Proceedings of AIED-2005 Conference, 18-22 July, 2005, Amsterdam), Looi, C. K., McCalla, G., Bredeweg, B., and Breuker, J., editors, 33-40 (IOS Press, Amsterdam, Holland, 2005).
    • (2005) Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology , pp. 33-40
    • Arroyo, I.1    Woolf, B.2
  • 26
    • 84944326366 scopus 로고    scopus 로고
    • Using a probabilistic student model to control problem difficulty
    • volume 1839 of Lecture Notes in Computer Science, Springer- Verlag, London
    • Mayo, M. and Mitrovic, A. Using a probabilistic student model to control problem difficulty, In Proceedings of the 5th International Conference on Intelligent Tutor- ing Systems, volume 1839 of Lecture Notes in Computer Science, 524-533 (Springer- Verlag, London, 2000).
    • (2000) Proceedings of the 5th International Conference on Intelligent Tutoring Systems , pp. 524-533
    • Mayo, M.1    Mitrovic, A.2
  • 28
    • 84949996120 scopus 로고    scopus 로고
    • Adaptive assessment using granularity hierarchies and bayesian nets
    • volume 1086 of Lecture Notes In Computer Science, Springer-Verlag, London
    • Collins, J., Greer, J., and Huang, S. Adaptive assessment using granularity hierarchies and bayesian nets, In Proceedings of the Third International Conference on Intelli- gent Tutoring Systems, volume 1086 of Lecture Notes In Computer Science, 569-577 (Springer-Verlag, London, 1996).
    • (1996) Proceedings of the Third International Conference on Intelligent Tutoring Systems , pp. 569-577
    • Collins, J.1    Greer, J.2    Huang, S.3
  • 29
    • 0041562745 scopus 로고    scopus 로고
    • Probabilistic student modelling to improve exploratory behaviour
    • Springer, Netherlands
    • Bunt, A. and Conati, C. Probabilistic student modelling to improve exploratory behaviour, User Modeling and User-Adapted Interaction 13, 269-309 (Springer, Netherlands, 2003).
    • (2003) User Modeling and User-Adapted Interaction , vol.13 , pp. 269-309
    • Bunt, A.1    Conati, C.2
  • 30
    • 35048854651 scopus 로고    scopus 로고
    • Toward tutoring help seeking: Applying cognitive modeling to meta-cognitive skills
    • Aleven, V., Mclaren, B., Roll, I., and Koedinger, K. R. Toward tutoring help seeking: Applying cognitive modeling to meta-cognitive skills, In Intelligent Tutoring Systems, 227-239 (2004).
    • (2004) Intelligent Tutoring Systems , pp. 227-239
    • Aleven, V.1    Mclaren, B.2    Roll, I.3    Koedinger, K.R.4
  • 32
    • 33746381651 scopus 로고    scopus 로고
    • Improving intelli- gent tutoring systems: Using expectation maximization to learn student skill levels
    • Hutchison, D., Kanade, T., Kittler, J., Kleinberg, J. M., Mattern, F., Mitchell, J. C., Naor, M., Nierstrasz, O., Pandu Rangan, C., Steffen, B., Sudan, M., Terzopoulos, D., Tygar, D., Vardi, M. Y., Weikum, G., Ikeda, M., Ashley, K. D., and Chan, T.-W., editors, volume 4053 of Lecture Notes in Computer Science, Springer Berlin Heidelberg, Berlin, Heidelberg
    • Ferguson, K., Arroyo, I., Mahadevan, S., Woolf, B., and Barto, A. Improving intelli- gent tutoring systems: Using expectation maximization to learn student skill levels, In Intelligent Tutoring Systems, Hutchison, D., Kanade, T., Kittler, J., Kleinberg, J. M., Mattern, F., Mitchell, J. C., Naor, M., Nierstrasz, O., Pandu Rangan, C., Steffen, B., Sudan, M., Terzopoulos, D., Tygar, D., Vardi, M. Y., Weikum, G., Ikeda, M., Ashley, K. D., and Chan, T.-W., editors, volume 4053 of Lecture Notes in Computer Science, 453-462 (Springer Berlin Heidelberg, Berlin, Heidelberg, 2006).
    • (2006) Intelligent Tutoring Systems , pp. 453-462
    • Ferguson, K.1    Arroyo, I.2    Mahadevan, S.3    Woolf, B.4    Barto, A.5
  • 33
    • 46149090495 scopus 로고    scopus 로고
    • Technical report, Computer Science Department, University of Waikato
    • Bouckaert, R. R. Bayesian networks in Weka, Technical report, Computer Science Department, University of Waikato (2004).
    • (2004) Bayesian Networks in Weka
    • Bouckaert, R.R.1
  • 35
    • 0031334221 scopus 로고    scopus 로고
    • Selection of relevant features and examples in machine learning
    • Elsevier
    • Blum, A. and Langley, P. Selection of relevant features and examples in machine learning, Artificial Intelligence 97, 245-271 (Elsevier, 1997).
    • (1997) Artificial Intelligence , vol.97 , pp. 245-271
    • Blum, A.1    Langley, P.2
  • 37
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • Elsevier
    • Kohavi, R. and John, G. Wrappers for feature subset selection, Artificial Intelligence 97, 273-324 (Elsevier, 1997).
    • (1997) Artificial Intelligence , vol.97 , pp. 273-324
    • Kohavi, R.1    John, G.2
  • 38
    • 1942451938 scopus 로고    scopus 로고
    • Feature selection for high-dimensional data: A fast correlation- based filter solution
    • (Washington DC)
    • Yu, L. and Huan, L. Feature selection for high-dimensional data: A fast correlation- based filter solution, In International Conference on Machine Learning, 856-863 (Washington DC, 2003).
    • (2003) International Conference on Machine Learning , pp. 856-863
    • Yu, L.1    Huan, L.2
  • 44
    • 0038150633 scopus 로고    scopus 로고
    • Adl. version 1.2: The scorm overview
    • Adl. Sharable content object reference model. version 1.2: The scorm overview, http://www.adlnet.org (2001).
    • (2001) Sharable content object reference model
  • 46
    • 0141918150 scopus 로고    scopus 로고
    • Help seeking, learning and contingent tutoring
    • Elsevier Science Ltd.
    • Wood, H. Help seeking, learning and contingent tutoring, Computers & Education 33(2-3), 153-169 (Elsevier Science Ltd., 1999).
    • (1999) Computers & Education , vol.33 , Issue.2-3 , pp. 153-169
    • Wood, H.1
  • 48
    • 0141918150 scopus 로고    scopus 로고
    • Help seeking, learning and contigent tutoring
    • Elsevier
    • Wood, H. and Wood, D. Help seeking, learning and contigent tutoring, Computers & Education 33, 153-169 (Elsevier, 1999).
    • (1999) Computers & Education , vol.33 , pp. 153-169
    • Wood, H.1    Wood, D.2
  • 51
    • 78650891668 scopus 로고    scopus 로고
    • Towards predictive modelling of student affect from web-based interactions
    • (Proceedings of the 13th International Conference on Artificial Intelligence in Education, AIED2007), Luckin, R., Koedinger, K., and Greer, J., editors, volume 158 of Frontiers in Artificial Intelligence and Ap- plications), (IOS Press, Los Angeles, California)
    • Mavrikis, M., Maciocia, A., and Lee, J. Towards predictive modelling of student affect from web-based interactions, In Artificial Intelligence in Education: Building Technology Rich Learning Contexts that Work (Proceedings of the 13th International Conference on Artificial Intelligence in Education, AIED2007), Luckin, R., Koedinger, K., and Greer, J., editors, volume 158 of Frontiers in Artificial Intelligence and Ap- plications, 169-176 (IOS Press, Los Angeles, California, 2007).
    • (2007) Artificial Intelligence in Education: Building Technology Rich Learning Contexts that Work , pp. 169-176
    • Mavrikis, M.1    Maciocia, A.2    Lee, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.