Implementation of learning path in process control model

Computer Journal

Volumn 53, Issue 2, 2010, Pages 131-141

  Luo, Junzhou ^a   Kong, Weining ^a   Ge, Liang ^a  

^a SOUTHEAST UNIVERSITY   (China)

Author keywords

Fuzzy Petri net; Learning path; Pervasive computing

Indexed keywords

DESIGN COURSE; DISTRIBUTED LEARNING; FUZZY PETRI NETS; IN-PROCESS CONTROL; LEARNING ACTIVITY; LEARNING EFFICIENCY; LEARNING EXPERIENCES; LEARNING OBJECTS; LEARNING PATHS; LEARNING PROCESS; PERVASIVE COMPUTING; PERVASIVE ENVIRONMENTS; PROCESS CONTROL MODELS; WEB BASED E LEARNING; WORKFLOW TECHNOLOGY;

CURRICULA; E-LEARNING; FUZZY SYSTEMS; GRAPH THEORY; PETRI NETS; TEACHING;

PROCESS CONTROL;

EID: 76649132295     PISSN: 00104620     EISSN: 14602067     Source Type: Journal    
DOI: 10.1093/comjnl/bxn012     Document Type: Article

References (19)

1. Vossen, G. and Peter, W. (2003) E-learning as a Web Service. Proc. Seventh Int. Database Engineering and Symposium, Hong Kong, 16-18 July, pp. 242-249. IEEE Computer Society, Los Alamitos, CA.
2. Zhengfang, X., Zheng, Y. and Abdulmotaleb, S. (2003) A Web Services Oriented Framework for Dynamic E-Learning Systems. CCECE 2003-CCGEI 2003, Montreal, 4-7 May, pp. 943-946.
3. Pankratius, V. and Vossen, G. (2003) Towards E-Learning Grids: Using Grid Computing in Electronic Learning. Proc. IEEE Workshop on Knowledge Grid and Grid Intelligence, Saint Mary's University Halifax, Nova Scotia, Canada, 13 October, pp. 4-15.
4. Nicosia (2004) Carrying on the E-Learning Process with a Workflow Management Engine. Proc. 2004 ACM Symp. Applied Computing, Nicosia, Cyprus, March, pp. 940-945. ACM Press, New York.
5. WebCT. Vista. http://www.webct.com.
6. WBT. Topclass e-learning suite. http://www.wbtsystems.com.
7. IBM Lotus learning management system. http://www.lotus. com/lotus/offering3.nfs.
8. Lin, J., Ho, C., Sdiq, W. and Orlowska, M.E. (2001) On Workflow Enabled E-Learning Services. IEEE Advance Learning Technology Conf., Madison, USA, 6-8 August, pp 345-352. IEEE Computer Society, Los Alamitos, CA.
9. Xiao-Qiang, L., Min, W. and Jia-Xun, C. (2002) Knowledge Aggregation and Navigation High-level Petri Nets-based in E-Learing. Proc. First Int. Conf. Machine Learning and Cybernetics, Bejing, China, November.
10. Juei-Nan, C. and Yueh-Min, H. (2005) Using Dynamic Fuzzy Petri net for Navigated Learning. Exploring Innovation in Education and Research, Taiwan, March.
11. SCORM Version 1.0, Sharable Learning object Object Reference Model Version 1.0. http://www.adlnet.org/index. cfm?flashplugin=1&fuseaction= scorm10.
12. Looney, C. (1988) Fuzzy Petri nets for rule-based decision making. IEEE Trans. Syst. Man Cybern., 18, 178-183.
13. Business Process Execution Language for Web Services Version 1.1. http://www-900.ibm.com/developerWorks/cn/ webservices/ws-bpel-spec/index.shtml.
14. Web Serices Description Language (WSDL). http://www.w3. org/2002/ws/desc/.
15. Chen, S.M., Ke, J.S. and Chang, J.F. (1990) Knowledge representation using fuzzy Petri nets. IEEE Transactions on Knowledge and Data Engineering, 2, 311-319.
16. IMS Global Learning Consortium, Question and Test Interoperability: ASI Information Model Specification Version 1.2, February 2002.
17. Ranganathan, A. and McFaddin, S. (2004) Using Workflows to Coordinate Web Services in Pervasive Computing Environments. Proc. IEEE Int. Conf. Web Services, San Diego, USA, pp. 288-295.
18. WD-SVG12-20050413, Scalable vector graphics 1.2. http:// www.w3.org/TR/SVG12.
19. CELTS-42, http://www.celtsc.edu.cn/680751c665875e93/ folder.2006-04-03. 8417036039/celts-42.