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Volumn 34, Issue 3, 2013, Pages 13-26

Student modeling: Supporting personalized instruction, from problem solving to exploratory open-ended activities

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED INSTRUCTION; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; PROBLEM SOLVING;

EID: 84896292180     PISSN: 07384602     EISSN: None     Source Type: Journal    
DOI: 10.1609/aimag.v34i3.2483     Document Type: Article
Times cited : (39)

References (58)
  • 1
    • 84944313170 scopus 로고    scopus 로고
    • The conceptual helper: An intelligent tutoring system for teaching fundamental physics concepts
    • ed. G. Gauthier, C. Frasson, and K. Vanlehn, Berlin: Springer. dx.doi.org/10.1007/3-540-45108-0-60
    • Albacete, P. L., and Van Lehn, K. 2000. The Conceptual Helper: An Intelligent Tutoring System for Teaching Fundamental Physics Concepts. In Intelligent Tutoring Systems, Lecture Notes in Computer Science, ed. G. Gauthier, C. Frasson, and K. Vanlehn, 564-573. Berlin: Springer. dx.doi.org/10.1007/3-540-45108-0-60
    • (2000) Intelligent Tutoring Systems, Lecture Notes in Computer Science , pp. 564-573
    • Albacete, P.L.1    Van Lehn, K.2
  • 3
    • 37249012883 scopus 로고    scopus 로고
    • Pedagogy and usability in interactive algorithm visualizations: Designing and evaluating CIspace
    • DOI 10.1016/j.intcom.2007.08.003, PII S0953543807000732
    • Amershi, S.; Carenini, G.; Conati, C.; Mackworth, A. K.; and Poole, D. 2008. Pedagogy and Usability in Interactive Algorithm Visualizations: Designing and Evaluating Cispace. Interacting with Computers 20(1):64-96. dx.doi.org/10.1016/j.intcom.2007. 08.003 (Pubitemid 350267205)
    • (2008) Interacting with Computers , vol.20 , Issue.1 , pp. 64-96
    • Amershi, S.1    Carenini, G.2    Conati, C.3    Mackworth, A.K.4    Poole, D.5
  • 4
    • 77957286385 scopus 로고    scopus 로고
    • Combining unsupervised and supervised classification to build user models for exploratory learning environments
    • Amershi, S., and Conati, C. 2009. Combining Unsupervised and Supervised Classification to Build User Models for Exploratory Learning Environments. Journal of Educational Data Mining 1(1):18-71.
    • (2009) Journal of Educational Data Mining , vol.1 , Issue.1 , pp. 18-71
    • Amershi, S.1    Conati, C.2
  • 7
    • 45449102857 scopus 로고    scopus 로고
    • Developing a generalizable detector of when students game the system
    • dx.doi.org/10.1007/s11257-007-9045-6
    • Baker, R. S.; Corbett, A. T.; Roll, I.; and Koedinger, K. R. 2008. Developing a Generalizable Detector of When Students Game the System. User Modeling and User-Adapted Interaction 18(3):287-314. dx.doi.org/10.1007/s11257- 007-9045-6
    • (2008) User Modeling and User-adapted Interaction , vol.18 , Issue.3 , pp. 287-314
    • Baker, R.S.1    Corbett, A.T.2    Roll, I.3    Koedinger, K.R.4
  • 9
    • 79957481240 scopus 로고    scopus 로고
    • Discovering and recognizing student interaction patterns in exploratory learning environments
    • ed. V. Aleven, J. Kay, and J. Mostow, Berlin: Springer, dx.doi.org/10.1007/978-3-642-13388-6-17 PMid:20843738
    • Bernardini, A., and Conati, C. 2010. Discovering and Recognizing Student Interaction Patterns in Exploratory Learning Environments. In Intelligent Tutoring Systems, ed. V. Aleven, J. Kay, and J. Mostow, 125-134. Berlin: Springer. dx.doi.org/10.1007/978-3-642-13388-6-17 PMid:20843738
    • (2010) Intelligent Tutoring Systems , pp. 125-134
    • Bernardini, A.1    Conati, C.2
  • 10
    • 0035340352 scopus 로고    scopus 로고
    • Mining association rules procedure to support on-line recommendation by customers and products fragmentation
    • DOI 10.1016/S0957-4174(01)00017-3, PII S0957417401000173
    • Changchien, S., and Lu, T. C. 2001. Mining Association Rules Procedure to Support Online Recommendation by Customers and Products Fragmentation. Expert Systems with Applications 20(4):325-335. dx.doi.org/10.1016/S0957-4174 (01) 00017-3 (Pubitemid 32404843)
    • (2001) Expert Systems with Applications , vol.20 , Issue.4 , pp. 325-335
    • Changchien S.Wesley1    Lu, T.-C.2
  • 11
    • 43949150689 scopus 로고
    • Eliciting self-explanations improves understanding
    • DOI: 10.1207/s15516709cog1803-3
    • Chi, M. T. H.; De Leeuw, N.; Chiu, M. H.; and Lavancher, C. 1994. Eliciting Self-Explanations Improves Understanding. Cognitive Science 18(3):439-477. DOI: 10.1207/s15516709cog1803-3
    • (1994) Cognitive Science , vol.18 , Issue.3 , pp. 439-477
    • Chi, M.T.H.1    De Leeuw, N.2    Chiu, M.H.3    Lavancher, C.4
  • 12
    • 33845955172 scopus 로고    scopus 로고
    • Toward Comprehensive Student Models: Modeling Meta-cognitive Skills and Affective States in ITS
    • Intelligent Tutoring Systems
    • Conati, C. 2004. Toward Comprehensive Student Models: Modeling Metacognitive Skills and Affective States in ITS. In Proceedings of the 7th International Conference on Intelligent Tutoring Systems, Lecture Notes in Computer Science, 902. Berlin: Springer. dx.doi.org/10.1007/978-3-540-30139-4- 114 (Pubitemid 39245991)
    • (2004) Lecture Notes in Computer Science , Issue.3220 , pp. 902
    • Conati, C.1
  • 13
    • 0036961606 scopus 로고    scopus 로고
    • Using bayesian networks to manage uncertainty in student modeling
    • dx.doi.org/10.1023/A:1021258506583
    • Conati, C.; Gertner, A.; and Van Lehn, K. 2002. Using Bayesian Networks to Manage Uncertainty in Student Modeling. User Modeling and User-Adapted Interaction 12(4):371-417. dx.doi.org/10.1023/A:1021258506583
    • (2002) User Modeling and User-adapted Interaction , vol.12 , Issue.4 , pp. 371-417
    • Conati, C.1    Gertner, A.2    Van Lehn, K.3
  • 14
    • 70349810574 scopus 로고    scopus 로고
    • Modeling user affect from causes and effects
    • ed. G.-J. Houben, G. McCalla, F. Pianesi, and M. Zancanaro, Lecture Notes in Computer Science, Berlin: Springer, dx.doi.org/10.1007/978-3-642-02247-0-4
    • Conati, C., and MacLaren, H. 2009a. Modeling User Affect from Causes and Effects. In User Modeling, Adaptation, and Personalization, ed. G.-J. Houben, G. McCalla, F. Pianesi, and M. Zancanaro, Lecture Notes in Computer Science, 4-15. Berlin: Springer. dx.doi.org/10.1007/978-3-642-02247-0-4
    • (2009) User Modeling, Adaptation, and Personalization , pp. 4-15
    • Conati, C.1    MacLaren, H.2
  • 15
    • 68149100832 scopus 로고    scopus 로고
    • Empirically building and evaluating a probabilistic model of user affect
    • dx.doi.org/10.1007/s11257-009-9062-8
    • Conati, C., and MacLaren, H. 2009b. Empirically Building and Evaluating a Probabilistic Model of User Affect. User Modeling and User-Adapted Interaction 19(3):267-303. dx.doi.org/10.1007/s11257-009-9062-8
    • (2009) User Modeling and User-adapted Interaction , vol.19 , Issue.3 , pp. 267-303
    • Conati, C.1    MacLaren, H.2
  • 16
    • 34447567501 scopus 로고    scopus 로고
    • Eye-tracking for user modeling in exploratory learning environments: An empirical evaluation
    • DOI 10.1016/j.knosys.2007.04.010, PII S0950705107000469, Intelligent User Interface
    • Conati, C., and Merten, C. 2007. Eye-Tracking for User Modeling in Exploratory Learning Environments: An Empirical Evaluation. Knowledge-Based Systems 20(6):557-574. dx.doi.org/10.1016/j.knosys. 2007.04.010 (Pubitemid 47068960)
    • (2007) Knowledge-Based Systems , vol.20 , Issue.6 , pp. 557-574
    • Conati, C.1    Merten, C.2
  • 17
    • 26944435883 scopus 로고    scopus 로고
    • Exploring eye tracking to increase bandwidth in user modeling
    • ed. L. Ardissono, P. Brna, and A. Mitrovic, Lecture Notes in Computer Science, Berlin: Springer, dx.doi.org/10.1007/11527886-47
    • Conati, C.; Merten, C.; Muldner, K.; and Ternes, D. 2005. Exploring Eye Tracking to Increase Bandwidth in User Modeling. In User Modeling 2005, ed. L. Ardissono, P. Brna, and A. Mitrovic, Lecture Notes in Computer Science, 357-366. Berlin: Springer. dx.doi.org/10.1007/11527886-47
    • (2005) User Modeling 2005 , pp. 357-366
    • Conati, C.1    Merten, C.2    Muldner, K.3    Ternes, D.4
  • 18
    • 0000262490 scopus 로고
    • Knowledge tracing: Modeling the acquisition of procedural knowledge
    • dx.doi.org/10.1007/BF01099821
    • Corbett, A. T., and Anderson, J. R. 1994. Knowledge Tracing: Modeling the Acquisition of Procedural Knowledge. User Modeling and User-Adapted Interaction 4(4):253-278. dx.doi.org/10.1007/BF01099821
    • (1994) User Modeling and User-adapted Interaction , vol.4 , Issue.4 , pp. 253-278
    • Corbett, A.T.1    Anderson, J.R.2
  • 20
    • 77954089820 scopus 로고    scopus 로고
    • Multimodal semi-automated affect detection from conversational cues, gross body language, and facial features
    • dx.doi.org/10.1007/s11257-010-9074-4
    • D'Mello, S. K., and Graesser, A. 2010. Multimodal Semi-Automated Affect Detection from Conversational Cues, Gross Body Language, and Facial Features. User Modeling and User-Adapted Interaction 20(2):147-187. dx.doi.org/10.1007/ s11257-010-9074-4
    • (2010) User Modeling and User-adapted Interaction , vol.20 , Issue.2 , pp. 147-187
    • D'Mello, S.K.1    Graesser, A.2
  • 21
    • 79960335238 scopus 로고    scopus 로고
    • Performance comparison of item-to-item skills models with the IRT single latent trait model
    • Berlin: Springer, dx.doi.org/10.1007/978-3-642-22362-4-7
    • Desmarais, M. C. 2011. Performance Comparison of Item-to-Item Skills Models with the IRT Single Latent Trait Model. In Proceedings of the 19th International Conference on User Modeling, Adaption, and Personalization, 75-86. Berlin: Springer. dx.doi.org/10.1007/978-3-642-22362-4-7
    • (2011) Proceedings of the 19th International Conference on User Modeling, Adaption, and Personalization , pp. 75-86
    • Desmarais, M.C.1
  • 23
    • 58849083276 scopus 로고    scopus 로고
    • An architecture for making recommendations to courseware authors using association rule mining and collaborative filtering
    • dx.doi.org/10.1007/s11257-008-9047-z
    • García, E.; Romero, C.; Ventura, S.; and Castro, C. 2009a. An Architecture for Making Recommendations to Courseware Authors Using Association Rule Mining and Collaborative Filtering. User Modeling and User-Adapted Interaction 19 (1-2) 99-132. dx.doi.org/10.1007/s11257-008-9047-z
    • (2009) User Modeling and User-adapted Interaction , vol.19 , Issue.1-2 , pp. 99-132
    • García, E.1    Romero, C.2    Ventura, S.3    Castro, C.4
  • 24
    • 58849083276 scopus 로고    scopus 로고
    • An architecture for making recommendations to courseware authors using association rule mining and collaborative filtering
    • García, E.; Romero, C.; Ventura, S.; and Castro, C. De 2009b. An Architecture for Making Recommendations to Courseware Authors Using Association Rule Mining and Collaborative Filtering. User Modeling and User-Adapted Interaction 19, 99-132.
    • (2009) User Modeling and User-adapted Interaction , vol.19 , pp. 99-132
    • García, E.1    Romero, C.2    Ventura, S.3    De Castro, C.4
  • 25
    • 84855659483 scopus 로고    scopus 로고
    • How to construct more accurate student models: Comparing and optimizing knowledge tracing and performance factor analysis
    • Gong, Y.; Beck, J. E.; and Heffernan, N. T. 2011. How to Construct More Accurate Student Models: Comparing and Optimizing Knowledge Tracing and Performance Factor Analysis. International Journal of Artificial Intelligence Education. 21(3):27-45.
    • (2011) International Journal of Artificial Intelligence Education , vol.21 , Issue.3 , pp. 27-45
    • Gong, Y.1    Beck, J.E.2    Heffernan, N.T.3
  • 27
    • 70349862118 scopus 로고    scopus 로고
    • Theory-driven group formation through ontologies
    • ed. B. P. Woolf, E. Aïmeur, R. Nkambou, and S. Lajoie, Berlin: Springer, dx.doi.org/10.1007/978-3-540-69132-7-67
    • Isotani, S. and Mizoguchi, R. 2008. Theory-Driven Group Formation Through Ontologies. In Intelligent Tutoring Systems, Lecture Notes in Computer Science, ed. B. P. Woolf, E. Aïmeur, R. Nkambou, and S. Lajoie, 646-655. Berlin: Springer. dx.doi.org/10.1007/978-3-540-69132-7-67
    • (2008) Intelligent Tutoring Systems, Lecture Notes in Computer Science , pp. 646-655
    • Isotani, S.1    Mizoguchi, R.2
  • 29
    • 84857492059 scopus 로고    scopus 로고
    • A framework for capturing distinguishing user interaction behaviours in novel interfaces
    • The Netherlands, 6-8 July
    • Kardan, S., and Conati, C. 2011. A Framework for Capturing Distinguishing User Interaction Behaviours in Novel Interfaces. Paper presented at the 4th International Conference on Educational Data Mining, Eindhoven, The Netherlands, 6-8 July.
    • (2011) The 4th International Conference on Educational Data Mining, Eindhoven
    • Kardan, S.1    Conati, C.2
  • 31
    • 84863630969 scopus 로고    scopus 로고
    • Exploring gaze data for determining user learning with an interactive simulation
    • ed. J. Masthoff, B. Mobasher, M. Desmarais, and R. Nkambou, Berlin: Springer, dx.doi.org/10.1007/978-3-642-31454-4-11
    • Kardan, S., and Conati, C. 2012b. Exploring Gaze Data for Determining User Learning with an Interactive Simulation. In User Modeling, Adaptation, and Personalization, Lecture Notes in Computer Science, ed. J. Masthoff, B. Mobasher, M. Desmarais, and R. Nkambou, 126-138. Berlin: Springer. dx.doi.org/10.1007/978-3-642-31454-4-11
    • (2012) User Modeling, Adaptation, and Personalization, Lecture Notes in Computer Science , pp. 126-138
    • Kardan, S.1    Conati, C.2
  • 32
    • 79958004552 scopus 로고    scopus 로고
    • Recommender system based on click stream data using association rule mining
    • dx.doi.org/10.1016/j.eswa.2011.04.154
    • Kim, Y. S., and Yum, B.-J. 2011. Recommender System Based on Click Stream Data Using Association Rule Mining. Expert Systems with Applications 38(10):13320-13327. dx.doi.org/10.1016/j.eswa.2011.04.154
    • (2011) Expert Systems with Applications , vol.38 , Issue.10 , pp. 13320-13327
    • Kim, Y.S.1    Yum, B.-J.2
  • 35
    • 84896294192 scopus 로고    scopus 로고
    • New potentials for data-driven intelligent tutoring system development and optimization
    • Koedinger, K.; Brunskill, E.; Baker, R. S. J. D.; McLaughlin, E. A.; and Stamper, J. 2013. New Potentials for Data-Driven Intelligent Tutoring System Development and Optimization. AI Magazine 34 (3).
    • (2013) AI Magazine , vol.34 , Issue.3
    • Koedinger, K.1    Brunskill, E.2    Baker, R.S.J.D.3    McLaughlin, E.A.4    Stamper, J.5
  • 40
    • 14544270058 scopus 로고    scopus 로고
    • A web-based tutoring tool with mining facilities to improve teaching and learning
    • Sydney, Australia, 20-24 July
    • Merceron, A., and Yacef, K. 2003. A Web-Based Tutoring Tool with Mining Facilities to Improve Teaching and Learning. Paper presented at the 11th Conference on Artificial Intelligence in Education, Sydney, Australia, 20-24 July.
    • (2003) The 11th Conference on Artificial Intelligence in Education
    • Merceron, A.1    Yacef, K.2
  • 41
    • 34250115918 scopus 로고
    • An examination of procedures for determining the number of clusters in a data set
    • dx.doi.org/10.1007/BF02294245
    • Milligan, G. W., and Cooper, M. C. 1985. An Examination of Procedures for Determining the Number of Clusters in a Data Set. Psychometrika 50(2):159-179. dx.doi.org/10.1007/BF02294245
    • (1985) Psychometrika , vol.50 , Issue.2 , pp. 159-179
    • Milligan, G.W.1    Cooper, M.C.2
  • 42
    • 84858702322 scopus 로고    scopus 로고
    • Fifteen years of constraint-based tutors: What we have achieved and where we are going
    • dx.doi.org/10.1007/s11257-011-9105-9
    • Mitrovic, A. 2012. Fifteen Years of Constraint-Based Tutors: What We Have Achieved and Where We Are Going. User Modeling and User-Adapted Interaction 22 (1-2) 39-72. dx.doi.org/10.1007/s11257-011-9105-9
    • (2012) User Modeling and User-adapted Interaction , vol.22 , Issue.1-2 , pp. 39-72
    • Mitrovic, A.1
  • 43
    • 77954574597 scopus 로고    scopus 로고
    • "Yes!": Using tutor and sensor data to predict moments of delight during instructional activities
    • ed. P. Bra, A. Kobsa, and D. Chin, Berlin: Springer, dx.doi.org/10.1007/ 978-3-642-13470-8-16
    • Muldner, K.; Burleson, W.; and Vanlehn, K. 2010. "Yes!": Using Tutor and Sensor Data to Predict Moments of Delight During Instructional Activities. In User Modeling, Adaptation, and Personalization, ed. P. Bra, A. Kobsa, and D. Chin, 159-170. Berlin: Springer. dx.doi.org/10.1007/978-3-642- 13470-8-16
    • (2010) User Modeling, Adaptation, and Personalization , pp. 159-170
    • Muldner, K.1    Burleson, W.2    Vanlehn, K.3
  • 45
    • 78650298992 scopus 로고    scopus 로고
    • Scaffolding metacognitive skills for effective analogical problem solving via tailored example selection
    • Muldner, K., and Conati, C. 2010. Scaffolding Metacognitive Skills for Effective Analogical Problem Solving Via Tailored Example Selection. International Journal of Artificial Intelligence Education 20(2):99-136.
    • (2010) International Journal of Artificial Intelligence Education , vol.20 , Issue.2 , pp. 99-136
    • Muldner, K.1    Conati, C.2
  • 46
    • 66149164588 scopus 로고    scopus 로고
    • Clustering and sequential pattern mining of online collaborative learning data
    • dx.doi.org/10.1109/TKDE.2008. 138
    • Perera, D.; Kay, J.; Koprinska, I.; Yacef, K.; and Zaïane, O. R. 2009. Clustering and Sequential Pattern Mining of Online Collaborative Learning Data. IEEE Transactions on Knowledge and Data Engineering 21(6):759-772. dx.doi.org/10.1109/TKDE.2008. 138
    • (2009) IEEE Transactions on Knowledge and Data Engineering , vol.21 , Issue.6 , pp. 759-772
    • Perera, D.1    Kay, J.2    Koprinska, I.3    Yacef, K.4    Zaïane, O.R.5
  • 51
    • 67650245090 scopus 로고    scopus 로고
    • Applying web usage mining for personalizing hyperlinks in web-based adaptive educational systems
    • dx.doi.org/10.1016/j.compedu.2009.05.003
    • Romero, C.; Ventura, S.; Zafra, A.; and Bra, P. 2009. Applying Web Usage Mining for Personalizing Hyperlinks in Web-Based Adaptive Educational Systems. Computers and Education 53(3):828-840. dx.doi.org/10.1016/j.compedu.2009.05.003
    • (2009) Computers and Education , vol.53 , Issue.3 , pp. 828-840
    • Romero, C.1    Ventura, S.2    Zafra, A.3    Bra, P.4
  • 53
    • 0002789089 scopus 로고
    • A comparison of learning environments: All that glitters
    • Hillsdale, NJ: Lawrence Erlbaum Associates, Inc
    • Shute, V. J. 1993. A Comparison of Learning Environments: All That Glitters. In Computers and Cognitive Tools, Technology in Education, 47-73. Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
    • (1993) Computers and Cognitive Tools, Technology in Education , pp. 47-73
    • Shute, V.J.1
  • 54
    • 34249687044 scopus 로고    scopus 로고
    • A review of associative classification mining
    • DOI 10.1017/S0269888907001026, PII S0269888907001026
    • Thabtah, F. 2007. A Review of Associative Classification Mining. The Knowledge Engineering Review 22(1):37-65. dx.doi.org/10.1017/S0269888907001026 (Pubitemid 46825798)
    • (2007) Knowledge Engineering Review , vol.22 , Issue.1 , pp. 37-65
    • Thabtah, F.1
  • 56
    • 84855557545 scopus 로고    scopus 로고
    • A cognitive and metacognitive analysis of self-regulated learning
    • London: Routledge
    • Winne, P. H. 2011. A Cognitive and Metacognitive Analysis of Self-Regulated Learning. Handbook of Self-Regulation of Learning and Performance, 15-32. London: Routledge.
    • (2011) Handbook of Self-regulation of Learning and Performance , pp. 15-32
    • Winne, P.H.1
  • 58
    • 33846434437 scopus 로고    scopus 로고
    • An associative classification-based recommendation system for personalization in B2C e-commerce applications
    • DOI 10.1016/j.eswa.2006.05.005, PII S0957417406001515
    • Zhang, Y., and Jiao, J. R. 2007. An Associative Classification-Based Recommendation System for Personalization In B2C E-Commerce Applications. Expert Systems with Applications 33(1):357-367. dx.doi.org/10.1016/j.eswa.2006.05.005 (Pubitemid 46150042)
    • (2007) Expert Systems with Applications , vol.33 , Issue.2 , pp. 357-367
    • Zhang, Y.1    Jiao, J.R.2


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