Cmap
Using Semantic Reference Set of Linking Words for Concept Mapping in Biology

Kharatmal, Meena and Nagarjuna, G. (2016) Using Semantic Reference Set of Linking Words for Concept Mapping in Biology. In: Innovating with Concept Mapping. 7th International Conference on Concept Mapping, CMC 2016 Tallinn, Estonia, September 5–9, 2016 Proceedings. Communications in computer and information science, 1 . Springer International Publishing, Cham: Switzerland. ISBN 978-3-319-45501-3

Full text not available from this repository.

Abstract

Inspired by the semantic network studies we propose additional conventions for choosing linking words and arrive at a Reference Set of semantically well-defined linking words drawn from the Knowledge Representation area of research in the domain of biology. Each linking word in the set is assigned a dimension: part-whole, class-inclusion, spatial-inclusion, function and attribution. We study expert representations by content analysis of biology texts at three levels of increasing subject complexity. We compare the linking words used in these representations with the Reference Set and find an increasing degree of proximity to the latter. This indicates that experts tend to use more well-defined linking words. Regarding this proximity as a characteristic of expertise, we can encourage novices to re-represent their concept maps using the linking words from the Reference Set. We discuss the implications of the approach for science education.

Item Type: Book Section
Uncontrolled Keywords: Paper, CMC2016
Subjects: L Education > L Education (General)
L Education > LB Theory and practice of education
Q Science > QA Mathematics > QA76 Computer software
Divisions: UNSPECIFIED
Depositing User: Mr. Ernest Prats
Date Deposited: 17 Nov 2018 14:25
Last Modified: 17 Nov 2018 14:26
URI: http://eprint.ihmc.us/id/eprint/572

Actions (login required)

View Item View Item