Abstract
Modeling knowledge in simulation-based inquiry learning requires a model of the domain that is executable, as well as a model of the learners’ knowledge about the domain. An intermediate level is formed by models of the domain that are created by students as is done in modeling environments. An approach is presented for generating student created models from drawings. This approach requires drawing segmentation, shape recognition and model generation, which is done based on density-based clustering, elementary shape recognition combined with a shape ontology and model fragment composition respectively. The final result is an executable model that can be used to generate simulation outcomes based on learners’ conceptions. The role of such a system is discussed, especially with respect to the diagnosis of misconceptions and the generation of tutoring interventions based on confronting learners with the consequences of their conceptions.
This is a preview of subscription content, log in via an institution to check access.
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
Alessi, S.M.: The Application of System Dynamics Modeling in Elementary and Secondary School Curricula. Paper presented at the Conference of the Red Iberoamericana de Informática Educativa, RIBIE, Vina del Mar, Chile (2000)
Alvarado, C., Lazzareschi, M.: Properties of Real-World Digital Logic Diagrams. Paper presented at the Proceedings of 1st International Workshop on Pen-based Learning Technologies, PLT 2007, Catania, Italy (2007)
Biçici, E., Yuret, D.: Locally Scaled Density Based Clustering. In: Beliczynski, B., Dzielinski, A., Iwanowski, M., Ribeiro, B. (eds.) ICANNGA 2007. LNCS, vol. 4431, pp. 739–748. Springer, Heidelberg (2007)
Bliss, J.: From mental models to modelling. In: Mellar, H., Bliss, J., Boohan, R., Ogborn, J., Tompsett, C. (eds.) Learning with Artificial Worlds: Computer Based Modelling in the Curriculum. The Falmer Press, London (1994)
Bollen, L., Hoppe, H.U., Milrad, M., Pinkwart, N.: Collaborative Modeling in Group Learning Environments. Paper presented at the Proceedings of the XXth International Conference of the System Dynamics Society, Palermoy, Italy (2002)
Bouwer, A., Bredeweg, B.: VisiGarp: Graphical Representation of Qualitative Simulation Models. Paper presented at the Proceedings of 10th International Conference on Artificial Intelligence in Education, AI-ED 2001, San Antonio, Texas (2001)
de Jong, T., van Joolingen, W.R., Anjewierden, A., Bollen, L., d’Ham, C., Dolonen, J., et al.: Learning by creating and exchanging objects: the SCY experience. British Journal of Educational Technology (in press)
Ergazaki, M., Zogza, V., Komis, V.: Analysing Students’ Shared Activity while Modeling a Biological Process in a Computer-Supported Educational Environment. Journal of Computer Assisted Learning 23(2), 158–168 (2007)
Feurzeig, W., Roberts, N.: Modeling and simulation in science and mathematics. Springer, New York (1999)
Forbus, K.D., Usher, J.: Sketching for Knowledge Capture: A Progress Report. Paper presented at the IU 2002, San Francisco (2002)
Hammond, T., Davis, R.: LADDER: A Language to Describe Drawing, Display, and Editing in Sketch Recognition. Paper presented at the Proceedings of International Joint Conference on Artificial Intelligence, Hyderabad, India (2003)
Hammond, T., Davis, R.: Ladder, a Sketching Language for User Interface Developers. Computers & Graphics 29, 518–532 (2005)
Koile, K., Chevalier, K., Low, C., Pal, S., Rogal, A., Singer, D., et al.: Supporting Pen-Based Classroom Interaction: New Findings and Functionality for Classroom Learning Partner. Paper presented at the 1st International Workshop on Pen-Based Learning Technologies, PLT 2007, Catania, Italy (2007)
LaViola, J., Zeleznik, R.: MathPad: A System for the Creation and Exploration of Mathematical Sketches. ACM Transactions on Graphics (Proc. SIGGRAPH)Â 23(3) (2004)
Mierswa, I., Wurst, M., Klinkenberg, R., Scholz, M., Euler, T.: YALE: Rapid Prototyping for Complex Data Mining Tasks. Paper presented at the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2006 (2006)
Novak, J.D.: Learning, creating and using knowledge: Concept map TM as facilitative tools in schools and corporations. Lawrence Erlbaum Associates Inc., Mahwah (1998)
Paulson, B., Hammond, T.: Accurate Primitive Sketch Recognition and Beautification. Paper presented at the Proceedings of the International Conference on Intelligent User Interfaces, IUI 2008, Canary Islands, Spain (2008)
Penner, D.E.: Cognition, Computers, and Synthetic Science: Building knowledge and meaning through modelling. Review of Research in Education 25, 1–37 (2001)
Posner, G.J., Strike, K.A., Hewson, P.J., Gertzog, W.A.: Accomodation of a scientific conception: Towards a theory of conceptual change. Science Education 66(2), 211–227 (1982)
Schwarz, C.V., Meyer, J., Sharma, A.: Technology, Pedagogy, and Epistemology: Opportunities and Challenges of Using Computer Modeling and Simulation Tools in Elementary Science Methods. Journal of Science Teacher Education 18(2), 243–269 (2007)
Sins, P.H.M., Savelsbergh, E.R., van Joolingen, W.R.: The Difficult Process of Scientific Modelling: An analysis of novices’ reasoning during computer-based modelling. International Journal of Science Education 27(14), 1695–1721 (2005)
van Joolingen, W.R., de Jong, T.: SimQuest: Authoring educational simulations. In: Murray, T., Blessing, S., Ainsworth, S. (eds.) Authoring tools for advanced technology educational software: Toward cost-effective production of adaptive, interactive, and intelligent educational software. Kluwer Academic Publishers, Dordrecht (2003)
van Joolingen, W.R., de Jong, T., Lazonder, A.W., Savelsbergh, E.R., Manlove, S.: Co-Lab: research and development of an online learning environment for collaborative scientific discovery learning. Computers in Human Behavior 21(4), 671–688 (2005)
van Joolingen, W.R., King, S., de Jong, T.: The SimQuest Authoring System for Simulation-Based Discovery Learning. Paper presented at the Proceedings of the International Conference on Artificial Intelligence and Education, AIED 1997 (1997)
Van Meter, P., Garner, J.: The Promise and Practice of Learner-Generated Drawing: Literature Review and Synthesis. Educational Psychology Review 17(4), 285–325 (2005)
Wilensky, U., Reisman, K.: Thinking Like a Wolf, a Sheep, or a Firefly: Learning Biology Through Constructing and Testing Computational Theories — An Embodied Modeling Approach. Cognition and Instruction 24(2), 171–209 (2006)
Wilensky, U., Resnick, M.: Thinking in Levels: A Dynamic Systems Approach to Making Sense of the World. Journal of Science Education and Technology 8(1), 3–19 (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
van Joolingen, W.R., Bollen, L., Leenaars, F.A.J. (2010). Using Drawings in Knowledge Modeling and Simulation for Science Teaching. In: Nkambou, R., Bourdeau, J., Mizoguchi, R. (eds) Advances in Intelligent Tutoring Systems. Studies in Computational Intelligence, vol 308. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14363-2_12
Download citation
DOI: https://doi.org/10.1007/978-3-642-14363-2_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14362-5
Online ISBN: 978-3-642-14363-2
eBook Packages: EngineeringEngineering (R0)