Abstract
This paper describes a method for learner modelling for use within simulation-based learning environments. The goal of the learner modelling system is to provide the learner with advice on discovery learning. The system analyzes the evidence that a learner has generated for a specific hypothesis, assesses whether the learner needs support on the discovery process, and the nature of that support. The kind of advice described in this paper is general in the sense that it does not rely on specific domain knowledge, and specific in the sense that it is directly related to the learner’s interaction with the system. The learner modelling mechanism is part of the SimQuest authoring system for simulation-based discovery learning environments
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bruner, J. S. (1961). The act of discovery. Harvard Educational Review, 31, 21–32.
Glaser, R., Schauble, L., Raghavan, K., & Zeitz, C. (1992). Scientific reasoning across different domains. In E. de Corte, M. Linn, H. Mandl & L. Verschaffel (Eds.), Computer-based learning environments and problem solving (pp. 345–373). Berlin, Germany: Springer-Verlag.
Holt, P., Dubs, S., Jones, M & Greer (1994). The State of Student Modelling. In J.E. Greer, & G. I. McCalla (Eds.), Student Modelling: The key to Individualized Knowledge-Based Instruction (NATO ASI series F: Computer and Systems Series, Vol 125) (pp. 3–35). Berlin, Germany: Springer-Verlag.
Jonassen, D.H. (1991). Objectivism versus constructivism: Do we need a new phi-losophical paradigm? Educational technology research & development, 39, 5–14.
Jong, T. de, Joolingen, W. R. van, Swaak, J., Veermans K., Limbach R., King S. & Gureghian D. (in press). Combining human and machine expertise for self-directed learning in simulation-based discovery environments. Journal of Computer Assisted Learning.
Jong, T. de, Joolingen, W. R. van, & King, S. (1997). The authoring environment Sim-Quest and the need for author support. In T. de Jong (Ed.) Supporting authors in the design of simulation based learning environments. Servive project, deliverable D 8.1. Enschede: University of Twente.
Jong, T. de & Joolingen, W. R. van, (in press). Discovery learning with computer simulations of conceptual domains. Review of Educational Research.
Jong, T. de & Njoo, M. (1992). Learning and instruction with computer simulations: learning processes involved. In E. de Corte, M. Linn, H. Mandl, & L. Verschaffel (Eds.), Computer-based learning environments and problem solving. Berlin: Springer-Verlag.
Joolingen, W.R. van, & Jong, T. de (1993). Exploring a domain through a computer simulation: traversing variable and relation space with the help of a hypothesis scratchpad. In D. Towne, T. de Jong & H. Spada (Eds.), Simulation-based experiential learning (pp. 191–206). Berlin, Germany: Springer-Verlag.
Joolingen, W.R. van, & Jong, T. de (1997). An extended dual search space model of learning with computer simulations. Instructional Science, 25, 307–346.
Klahr, D., & Dunbar, K. (1988). Dual space search during scientific reasoning. Cognitive Science, 12, 1–48.
Klayman, J. & Ha, Y-W. (1987). Hypothesis testing in rule discovery: strategy, structure, and content. Journal of Experimental Psychology: Learning, Memory, and Cognition, 15(4), 596–604.
Marchionni, G. (1988) Hypermedia and learning: Freedom and Chaos. Educational Technology, 28(11), 8–12.
Paolucci, M., Suthers, D. & Weiner, A. (1996) Automated advice giving strategies for Scientific inquiry In C. Frasson & G. Gauthier & A. Lesgold (Eds.). Proceedings of the 3 nd In-ternational Conference on Intelligent Tutoring Systems, (pp. 372–381). Lecture Notes in Computer Science, Vol. 1086, Berlin: Springer Verlag.
Reimann, P. (1991). Detecting functional relations in a computerized discovery environment. Learning and instruction, 1, 45–65.
Self J. A. (1990) Bypassing the intractable problem of student modeling. In C. Frasson & G. Gauthier (Eds.). Intelligent Tutoring Systems: At the Crossroadsof Articicial Intelligence and Education (pp. 107–123). Norwood, NJ: Ablex.
Shute, V.J., & Glaser, R. (1990). A large-scale evaluation of an intelligent discovery world: Smithtown. Interactive Learning Environments, 1, 51–77.
Tsirgi, J. E. (1980) Sensible reasoning: A hypothesis about hypotheses. Child development, 51: 1–10.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1998 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Veermans, K., Van Joolingen, W.R. (1998). Using Induction to Generate Feedback in Simulation Based Discovery Learning Environments. In: Goettl, B.P., Halff, H.M., Redfield, C.L., Shute, V.J. (eds) Intelligent Tutoring Systems. ITS 1998. Lecture Notes in Computer Science, vol 1452. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-68716-5_25
Download citation
DOI: https://doi.org/10.1007/3-540-68716-5_25
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-64770-6
Online ISBN: 978-3-540-68716-0
eBook Packages: Springer Book Archive