Please use this identifier to cite or link to this item: http://hdl.handle.net/10497/16346
Title: 
Modeling of data: An interdisciplinary approach
Authors: 
Issue Date: 
Dec-2000
Citation: 
Tsoi, R. M. F., Goh, N. K., & Chia, L. S. (2000, December). Modeling of data: An interdisciplinary approach. Paper presented at the Electronic Proceedings of the 5th Asian Technology Conference in Mathematics, Chiang Mai, Thailand.
Abstract: 
In the context of symbolic representation of data, learning to connect the data generated
from macroscopic events with hypothesized changes taking place at the atomic level and the
symbolic level used to describe these events is a difficult task for many students. Therefore, an
interdisciplinary approach to modeling of data is one way to address this problem. This paper
provides insights on modeling of data using DataStudio, a data logging and analysis tool. It
concentrates on the overall instructional design of the interdisciplinary approach in the field of
mathematics and chemistry that maximize the potential of DataStudio to enhance subject content
and pedagogy. Modeling of physicochemical phenomena will be illustrated with examples.
Implications for designing this interdisciplinary approach to manipulation and transformation of
data will also be discussed.
URI: 
Appears in Collections:Conference Papers

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