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
Link To Document :
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