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Issue No.04 - July/August (2009 vol.13)
pp: 11-17
Qing Li , City University of Hong Kong
Rynson W.H. Lau , City University of Hong Kong
Benjamin W. Wah , University of Illinois at Urbana-Champaign
Helen Ashman , University of South Australia
Elvis W.C. Leung , City University of Hong Kong
Frederick Li , Durham University
Victor Lee , City University of Hong Kong
ABSTRACT
As a flourishing field, e-learning at large (including distance learning, Web-based learning, and digital game-based learning) has attracted increasing attention from both industry and academic sectors. To facilitate the development of effective e-learning systems, scalable technologies that support an arbitrary number of users while providing them with a good learning environment are needed. In this introduction, we provide an overview of e-learning system development with respect to a layered reference architecture, including the Internet infrastructure layer, the conceptual/modeling layer, and the application layer. In addition, the three articles included in this special issue cover the issues of managing the learning objects in an open and scalable architecture, incorporation of learners' pedagogical features in Web-based learning environments, and support of digital game-based learning. All these issues, though not exhaustive, are important to ensure successful development of e-learning systems on an Internet platform.
INDEX TERMS
e-learning systems, reference architecture, component-based development, user/student modeling, intelligent tutoring systems, Internet
CITATION
Qing Li, Rynson W.H. Lau, Benjamin W. Wah, Helen Ashman, Elvis W.C. Leung, Frederick Li, Victor Lee, "Guest Editors' Introduction: Emerging Internet Technologies for E-Learning", IEEE Internet Computing, vol.13, no. 4, pp. 11-17, July/August 2009, doi:10.1109/MIC.2009.83
REFERENCES
1. M. Norman and P. Thanisch, "Models of Machines and Computation for Mapping in Multicomputers," ACM Computing Surveys, vol. 25, no. 3, 1993, pp. 263–302.
2. B. Ng et al., "A Multi-Server Architecture for Distributed Virtual Walkthrough," Proc. ACM Symp. Virtual Reality Software and Technology, ACM Press, 2002, pp. 163–170.
3. F. Lin, L. Esmahi, and L. Poon, "Integrating Agents and Web Services into Adaptive Distributed Learning Environments," Designing Distributed Learning Environments with Intelligent Software Agents, Lin Fuhua, ed., Idea Group (IGI), 2004, pp. 184–217.
4. P. Brusilovsky, "Adaptive Hypermedia," User Modeling and User-Adapted Interaction, Ten Year Anniversary Issue, vol. 11, 2001, pp. 87-110.
5. B. Woolf, Building Intelligent Interactive Tutors: Student–Centered Strategies for Revolutionizing E-Learning, Morgan-Kaufmann, 2009.
6. E. Brown et al., "Reappraising Cognitive Styles in Adaptive Web Applications," Proc. World Wide Web Conf., ACM Press, 2006, pp. 327–335.
7. S. Lajoie and S. Derry, "A Middle Camp for (Un)Intelligent Instructional Computing: An Introduction," Computers as Cognitive Tools, Erlbaum, 1993, pp. 1–11.
8. M. Grignetti, C. Hausman, and L. Gould, "An Intelligent On-line Assistant and Tutor: NLS-SCHOLAR," Proc. Nat'l Computer Conf., AFIPS Press, 1975, pp. 775–781.
9. D. Hoole et al., "A Bank of Chemistry Questions on an On-Line Server," J. Science Educational and Technology, vol. 11, no. 1, 2002, pp. 9–13.
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