DocumentCode :
3085456
Title :
Applying Petri nets to model SCORM learning sequence specification in collaborative learning
Author :
Lin, H.W. ; Chang, Wen-Chih ; Yee, George ; Shih, Timothy K. ; Wang, Chun-Chia ; Yang, Hsuan-Che
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Tamkang Univ., Tamsui, Taiwan
Volume :
1
fYear :
2005
fDate :
28-30 March 2005
Firstpage :
203
Abstract :
With the rapid development of Internet technology and Web-based education, distance learning provides a novel learning style, which is different from traditional education. In order to adapt different teaching strategies in accordance to individual students´ abilities in a distance learning environment, system directed navigation of students was proposed in a distance learning standard called SCORM (sharable content object reference model). We introduce the distance-learning color Petri net (DCPN), applying the features of Petri nets, to decrease the complexity of the sequencing definition model in the SCORM 2004 specification. We thus construct a sequencing framework for various instructional strategies by piecing DPCN subnets together.
Keywords :
Internet; Petri nets; computer aided instruction; content management; distance learning; distributed object management; formal specification; graph colouring; groupware; teaching; DPCN subnets; Internet technology; SCORM 2004 learning sequence specification; Web-based education; collaborative learning; distance learning standard; distance-learning color Petri net; sharable content object reference model; system directed navigation; teaching strategies; CADCAM; Collaborative work; Computer aided instruction; Computer aided manufacturing; Content management; Electronic learning; Least squares approximation; Navigation; Packaging; Petri nets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Information Networking and Applications, 2005. AINA 2005. 19th International Conference on
ISSN :
1550-445X
Print_ISBN :
0-7695-2249-1
Type :
conf
DOI :
10.1109/AINA.2005.120
Filename :
1423493
Link To Document :
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