A closer view of two technologies used in e-learning
Abstract
The objective of this paper is to evaluate the efficiency of learning by knowledge construction and sharing of experience. Students are taught how to build an e-Learning system by using either an ontology or a topic map. The paper contrasts these two e-Learning technologies to analyze their impact on the development of a pedagogical content under a granular form represented by ontology of the basic concepts of communication networks. During the building of the e-Learning systems, it becomes clear that the role of the ontology is to reduce the overall complexity of the creation process by assuring the necessary comprehension of customized learning requests as well as reusability and sharing for all actors involved.
References
[1]
ISO (2005) "ISO/IEC CD 13250-5 Topic Maps --- Part 5: Reference Model". Online at http://www.isotopicmaps.org/TMRM/TMRM-5.0/TMRM-5.0.pdf
[2]
TM4L: Topic Maps 4 e-learning. http://compsci.wssu.edu/iis/nsdl
[3]
Dicheva, D. et al. (2007): Authors support in the TM4L environment. Information Technologies and Knowledge 1(3):215--218.
[4]
Dichev C. et al. (2004). Using topic maps for web-based education. Int. J. of Advanced Technology for Learning, volume 1(1), pages 1--7, 2004.
[5]
Berners-Lee, T. Hendler, J. & Lassila, O., The Semantic Web. Scientific American, 17 May 2001.
[6]
E. Oguejiofor, et. al., (2004). Intelligent tutoring systems: an ontology-based approach. International Journal of IT, Vol. 2, Issue 2: 115--128
[7]
W. Huang, D. Webster, D. Wood, T. Ishaya (2006). An intelligent semantic e-learning framework using context-aware Semantic Web technologies. British Journal of Education Technology, Vol. 37, No. 3: 351--373.
[8]
L. Sanchez-Fernandez, N. Fernandez-Garcia (2005). The Semantic Web: Fundamentals and A Brief State-of-the-Art. Upgrade, Vol. 6, No. 6: 5--11
[9]
C. Pahl, E. Holohan (2009). Applications of Semantic Web Technology to Support Learning Content Development. Interdisciplinary Journal of E-Learning and Learning Objects, Vol. 5: 1--25
[10]
E. Moreale, M. Vargas-Vera (2004). Semantic Services in e-Learning: an Argumentation Case Study. Educational Technology & Society, 7(4): 112--128
[11]
Carroll, J. (2002). Human-computer interaction in the new millennium. Addison-Wesley.
[12]
Giarratano, J. (2005). Expert systems: principles and programming, Thomson.
[13]
Hart, A. (1992). Knowledge acquisition for expert systems. McGraw-Hill.
[14]
Hatzlygeroudis, L., & Prentzas, J. (2004). Using a hybrid rule-based approach in developing an intelligent tutoring system with knowledge acquisition and update capabilities. Expert Systems with Applications, 26(4), 477--492.
[15]
Lawler, R. W., & Yazdani, M. (1987). Learning environments and tutoring. London, UK: Ablex Publishing Corporation.
[16]
Luger, G. (2005). Artificial intelligence: Structures and strategies for complex problem solving. Addison-Wesley.
[17]
Macmillan, S. (2009). An architecture for a self-supporting instructional planner for intelligent tutoring system. Computational Intelligence, 3(1), 17--27.
[18]
Riesbeck, C. et al. (1998). Authorable critiquing for intelligent educational systems. International Conference on Intelligent User Interfaces. San Francisco.
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- A closer view of two technologies used in e-learning
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Consortium for Computing Sciences in Colleges
Evansville, IN, United States
Publication History
Published: 01 December 2011
Published in JCSC Volume 27, Issue 2
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