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Architecture Trends of Adaptive Educational Hypermedia Systems: The Case of the MATHEMA

Received: 11 May 2017    Accepted: 26 May 2017    Published: 18 July 2017
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Abstract

The aim of this article is to present the general architecture trends of Web-based Adaptive Educational Hypermedia Systems (AEHSs) and to give a complete description of architecture of the AEHS MATHEMA. In the beginning, a related work on the architecture trends of Web-based AEHSs is presented. Then, a description of the aspects of the MATHEMA is done regarding both its pedagogical and technological part. Next, one-on-one unit is presented separately and their functions are generally described with respect to the adaptive Web technologies used. Research has shown that students of high schools increase their performance by studying through the AEHS MATHEMA. Also, the formative evaluation of AEHS MATHEMA by students of the Department of Informatics and Telecommunications of the University of Athens, Greece, has shown, with the exception of other things, that all its functions are useful and easy to use.

Published in American Journal of Artificial Intelligence (Volume 1, Issue 1)
DOI 10.11648/j.ajai.20170101.13
Page(s) 15-28
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Adaptive Educational Hypermedia Systems, Architecture Trends of AEHSs, Adaptive Web Technologies

References
[1] Bayasut, B. L., Gede, P., & Halizah, B. (2013). ULUL-ILM: The Design of Web-Based Adaptive Educational Hypermedia System Based on Learning Style. In 13th International Conference on Intelligent Systems Design and Applications (ISDA). Kuala Lumpur: IEEE.
[2] Brown, E., Cristea, A., Stewart, C., & Brailsford, T. (2005). Patterns in Authoring of Adaptive Educational Hypermedia: A Taxonomy of Learning Styles. Educational Technology & Society, 8 (3), 77-90.
[3] Brusilovsky, P. (2001). Adaptive Hypermedia. User Modeling and User-Adapted Interaction, 11, pp. 87-110.
[4] Brusilovsky, P., & Peylo, C. (2003). Adaptive and Intelligent Web-based Educational Systems. International Journal of Artificial Intelligence in Education, 13 (2-4), 159-172.
[5] Brusilovsky, P., Schwarz, E., & Weber, G. (1996). ELM-ART: An intelligent tutoring system on World Wide Web, Proc. Third Int’l Conf. Intelligent Tutoring Systems. (ITS ’96), C. Frasson, G. Gauthier & A. Lesgold, eds., vol. 1086, pp. 261-269.
[6] de Bra, P., Houben, G. J., & Wu, H. (1999). AHAM: A dexter-based reference model for adaptive hypermedia. In Proceedings of the ACM Conference on Hypertext and Hypermedia, Darmstadt, Germany 147–156.
[7] Garzotto, F., & Cristea, A. I. (2004). ADAPT: Major design dimensions for educational adaptive hypermedia. Paper presented at the ED-MEDIA 2004 Conference, June 21-26, 2004, Lugano, Switzerland.
[8] Kazanidis, I, & Satratzemi, M. (2009). Adaptivity in ProPer: An Adaptive SCORM Compliant LMS, International Journal of Distance Education Technologies (IJDET). 7 (2), pp. 44-62.
[9] Kolb, D. A. (1984). Experiential Learning: Experience as the Source of Learning and Development. Englewood Clifs, N. J.: Prentice-Hall Inc.
[10] Mahmoud, Q. H. (2003). Servlets and JSP Pages: Best Practices. Available from: http://www.oracle.com/technetwork/articles/javase/servlets-jsp-140445.html.
[11] Martins, A. C., Faria, L., Vaz de Carvalho, C., & Carrapatoso, E. (2008). User Modeling in Adaptive Educational Hypermedia Systems. Educational Technology & Society, 11 (1), 194-207.
[12] Oliveira, J. M. P., & Fernandes, C. T. (2003). A Framework for Adaptive Web-based Educational Systems. In: Workshop on Applications, Products and Services of Web-based Support Systems in conjunction with the IEEE International Conference on Web Intelligence, Halifax, Canada, pp. 55-62.
[13] Papadimitriou, A., & Gyftodimos, G. (2007). Use of Kolb’s learning cycle through an adaptive educational hypermedia system for a constructivist approach of electromagnetism. In Proceedings of 4th WSEAS/IASME International Conference οn Engineering Education, (pp. 226-231), Agios Nikolaos, Crete Island, Greece.
[14] Popescu, E., Badica, C. & Moraret, L. (2010). Accommodating Learning Styles in an Adaptive Educational System. Informatica, 34, pp. 451–462.
[15] Somyürek, S. (2015). The New Trends in Adaptive Educational Hypermedia Systems. International Review of Research in Open and Distributed Learning, 16 (1), pp. 221-241.
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  • APA Style

    Alexandros Papadimitriou. (2017). Architecture Trends of Adaptive Educational Hypermedia Systems: The Case of the MATHEMA. American Journal of Artificial Intelligence, 1(1), 15-28. https://doi.org/10.11648/j.ajai.20170101.13

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    ACS Style

    Alexandros Papadimitriou. Architecture Trends of Adaptive Educational Hypermedia Systems: The Case of the MATHEMA. Am. J. Artif. Intell. 2017, 1(1), 15-28. doi: 10.11648/j.ajai.20170101.13

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    AMA Style

    Alexandros Papadimitriou. Architecture Trends of Adaptive Educational Hypermedia Systems: The Case of the MATHEMA. Am J Artif Intell. 2017;1(1):15-28. doi: 10.11648/j.ajai.20170101.13

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  • @article{10.11648/j.ajai.20170101.13,
      author = {Alexandros Papadimitriou},
      title = {Architecture Trends of Adaptive Educational Hypermedia Systems: The Case of the MATHEMA},
      journal = {American Journal of Artificial Intelligence},
      volume = {1},
      number = {1},
      pages = {15-28},
      doi = {10.11648/j.ajai.20170101.13},
      url = {https://doi.org/10.11648/j.ajai.20170101.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajai.20170101.13},
      abstract = {The aim of this article is to present the general architecture trends of Web-based Adaptive Educational Hypermedia Systems (AEHSs) and to give a complete description of architecture of the AEHS MATHEMA. In the beginning, a related work on the architecture trends of Web-based AEHSs is presented. Then, a description of the aspects of the MATHEMA is done regarding both its pedagogical and technological part. Next, one-on-one unit is presented separately and their functions are generally described with respect to the adaptive Web technologies used. Research has shown that students of high schools increase their performance by studying through the AEHS MATHEMA. Also, the formative evaluation of AEHS MATHEMA by students of the Department of Informatics and Telecommunications of the University of Athens, Greece, has shown, with the exception of other things, that all its functions are useful and easy to use.},
     year = {2017}
    }
    

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    AU  - Alexandros Papadimitriou
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    JF  - American Journal of Artificial Intelligence
    JO  - American Journal of Artificial Intelligence
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    AB  - The aim of this article is to present the general architecture trends of Web-based Adaptive Educational Hypermedia Systems (AEHSs) and to give a complete description of architecture of the AEHS MATHEMA. In the beginning, a related work on the architecture trends of Web-based AEHSs is presented. Then, a description of the aspects of the MATHEMA is done regarding both its pedagogical and technological part. Next, one-on-one unit is presented separately and their functions are generally described with respect to the adaptive Web technologies used. Research has shown that students of high schools increase their performance by studying through the AEHS MATHEMA. Also, the formative evaluation of AEHS MATHEMA by students of the Department of Informatics and Telecommunications of the University of Athens, Greece, has shown, with the exception of other things, that all its functions are useful and easy to use.
    VL  - 1
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    ER  - 

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Author Information
  • Department of Electrical and Electronic Engineering, School of Pedagogical and Technological Education, Athens, Greece

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