DocumentCode
589946
Title
Pictogram network: Evaluating english composition skills
Author
Yoshizawa-Watanabe, S. ; Kunigami, M. ; Takahashi, Satoshi ; Terano, Takao ; Yoshikawa, Akira
Author_Institution
Sch. of Pharmacy & Pharm. Sci., Hoshi Univ., Tokyo, Japan
fYear
2012
fDate
8-10 Oct. 2012
Firstpage
1
Lastpage
6
Abstract
Pictograms are pictorial drawings or representational signs and instructions that can be used irrespective of age, sex, and nationality. Using pictograms, we develop pictogram networks interconnected by arrows to represent knowledge and concepts. Since each pictogram represents a word or idea, drawing a pictogram network can become a guide to understanding others´ intentions. Based on our research, we propose a novel method called Pict-net Abstraction which could be very useful in foreign language composition education. This collaborative approach makes the participants realize the discrepancies between the writer´s intention and the readers´ understanding by comparing their pictogram networks and detecting the ambiguity as well as the polysemy of an argument. Pict-net Abstraction could be applied in multiple environments and could be useful in the establishment of a future peer review system.
Keywords
directed graphs; natural languages; network theory (graphs); argument ambiguity detection; argument polysemy detection; collaborative approach; english composition skill evaluation; foreign language composition education; knowledge representation; peer review system; pict-net abstraction method; pictogram network interconnection; pictorial drawings; pictorial representational instruction; pictorial representational sign; reader understanding; writer intention; Collaboration; Educational institutions; Peer to peer computing; Semantics; Solar system; Writing; Collaborative approach; Pict-net Abstraction; composition education; peer review method;
fLanguage
English
Publisher
ieee
Conference_Titel
Professional Communication Conference (IPCC), 2012 IEEE International
Conference_Location
Orlando, FL
ISSN
2158-091X
Print_ISBN
978-1-4577-2124-3
Type
conf
DOI
10.1109/IPCC.2012.6408644
Filename
6408644
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