
Students' communications with iconic representations of numerical simulations bridging gaps of knowledge and theories
PROCEEDINGS
Stefan Halverscheid, Fachbereich Mathematik-Informatik, Univ. Bremen, Germany
EdMedia + Innovate Learning, in Montreal, Canada ISBN 978-1-880094-56-3 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC
Abstract
Scientific, computer based simulations are regarded as instructive for learning about the bahaviour of complicated systems, machines and phenomena. These numerical simulations are often used to bridge gaps of knowledge or points which cannot be fully explained theoretically at all. As such, they supplement and partially replace language. Analyzing the language students use who are confronted with such simulations reveal chances of exploiting dynamic visualizations of simulations for students critical faculty and constructive thought processes.
Citation
Halverscheid, S. (2005). Students' communications with iconic representations of numerical simulations bridging gaps of knowledge and theories. In P. Kommers & G. Richards (Eds.), Proceedings of ED-MEDIA 2005--World Conference on Educational Multimedia, Hypermedia & Telecommunications (pp. 3902-3907). Montreal, Canada: Association for the Advancement of Computing in Education (AACE). Retrieved December 8, 2019 from https://www.learntechlib.org/primary/p/20689/.
© 2005 Association for the Advancement of Computing in Education (AACE)
Keywords
References
View References & Citations Map- Black, M. (1962). Models and metaphors. Ithaca, NY: Cornell University Press.
- Black, M. (1979). More about metaphor. In: A. Ortony (ed.), Metaphor and thought, pp. 19-43.
- Carrol, J.M. & Mack, R.M. (1985). Metaphor, computing systems, and active learning. International Journal of Man-Machine Studies, 22, 39-57.
- Eco, U. (1968). La struttura Assente. Milano: Valentino Bompiani.
- Goodman, N. (1976). Languages of art: an approach to a theory of symbols. Indianapolis: Hackett.
- Gramelsberger, G. (2001). Semiotik und Simulation: Fortführung der Schrift ins Dynamische. Thesis. FU Berlin.
- Jensen, J.F. (2000). The Semiotics of the Web. A Semiotic Approach to the Design and Analysis of Web-documents. World conference on the WWW and Internet. Vol 2000 (1), pp. 269-274.
- Koohang, A.A. (1989) A study of attitudes toward computers: anxiety, confidence, liking, and perception of usefulness. J. Res. Com. Ed., vol 22 (2), 137-150.
- Rivers, R.H. & Vockell, E. (1987). Computer simulations to stimulate scientific problem solving. Journal of research in sciene teaching, 24, 403-415.
- Sträßer, R. & Kadunz, G. (2004). Image– Metaphor– Diagram: Visualisation in learning mathematics. Proceedings of the 28th conference of the International Group for the Psychology of Mathematics Education, Vol. 4, pp. 241-248.
- White, B.Y. & Frederison, J.R. (1990). Causal model progressions as a foundation for intelligent learning environments. Aritificial Intelligence, 42, 99-157.
- Yildiz, M.N. (2003). Power of Visual Imagery in Multimedia Presentations: Semiotics Perspective. Word Conference on Educational Multimedia, Hypermedia and Telecommunications. Vol 2003 (1), pp. 1889-1890.
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