Design an Adaptive E-learning Application Architecture based on IEEE LTSA reference model

Andharini Dwi Cahyani, Ari Basuki, Eka Mala Sari Rohman, Yeni Kustiyahningsih

Abstract


Adaptivity in the field of e-learning and an innovative framework for personalised adaptive e-learning is often considered to be new or in an early development stage. In this paper, we propose an architecture for development of adaptive e-learning system. This architecture is based on the IEEE 1484 LTSA (Learning Technology System Architecture) reference model. The learner model is based on the learners’ preference and knowledge level. According to these profiles, the learners are served with learning material that best matches their educational needs. Furthermore, we also accomodate the learner feeback regarding to difficulty level of learning material. The design of our proposed models is prepared using UML notation. Our goal is to assist the instructional designers in developing adaptive e-learning system based on the IEEE LTSA models efficiently.

Full Text:

PDF

References


Rohani J.W., E-Learning for Improvement Quality of the Indonesian Human Resources. Telkomnika. 2007. 5(2).

Drachsler, H., Hummel, H. G., & Koper, R. Personal recommender systems for learners in lifelong learning networks: the requirements, techniques and model. International Journal of Learning Technology, 2008. 3(4), 404-423.

Shanabrook, D. H., Arroyo, I., Woolf, B. P., & Burleson, W.. Visualization of student activity patterns within intelligent tutoring systems. Intelligent Tutoring Systems, January 2012. (pp. 46-51). Springer Berlin Heidelberg.

Brusilovsky, P., & Maybury, M.. From adaptive hypermedia to the adaptive web. Communications of the ACM, 2002. 45 (5), 30-33

Mampadi, F., Chen, S. Y., Ghinea, G., & Chen, M. P. Design of adaptive hypermedia learning systems: A cognitive style approach. Computers & Education. 2011. 56(4), 1003-1011.

Enjang, A.J., Ali, I.N. Designing Comprehensive Independent Learning Interactive Multimedia and Its’ Resources Demands. Telkomnika. 2014. 12(3).

Dung, P. Q., & Florea, A. M. An architecture and a domain ontology for personalized multi-agent e-learning systems. Third International Conference on Knowledge and Systems Engineering (KSE). 2011, October. (pp. 181-185). IEEE..

Kidney, G., Cummings, L. & Boehm, A. Toward a Quality Assurance Approach to E-Learning Courses. International Journal on E-Learning, 2007. 6(1), 17-30. Chesapeake, VA: AACE.

Gonzalez, L.AG.; Ruggiero, W.V., "Collaborative e-learning and Learning Objects," Latin America Transactions, IEEE (Revista IEEE America Latina) .2009. , 7(5), 569-577

IEEE Standard for Learning Object Metadata - Corrigendum 1: Corrigenda for 1484.12.1 LOM (Learning Object Metadata)," IEEE Std 1484.12.1-2002/Cor 1-2011 (Corrigendum to IEEE Std 1484.12.1-2002)

Varlamis, I. & Apostolakis, I.. The Present and Future of Standards for E-Learning Technologies. Interdisciplinary Journal of E-Learning and Learning Objects. 2006. 2 (1), 59-76.

Devedzic, V., Jovanovic, J., & Gasevic, D. The pragmatics of current e-learning standards. IEEE Internet Computing. 2007. 11(3), 19-27.

Paramythis, A., & Loidl-Reisinger, S.. Adaptive learning environments and e-learning standards. In Second European Conference on e-Learning .2003. 369-379.




DOI: http://dx.doi.org/10.12928/telkomnika.v13i1.112

Article Metrics

Abstract view : 238 times
PDF - 282 times

Refbacks

  • There are currently no refbacks.


Copyright (c) 2014 Universitas Ahmad Dahlan

TELKOMNIKA Telecommunication, Computing, Electronics and Control
ISSN: 1693-6930, e-ISSN: 2302-9293
Universitas Ahmad Dahlan, 4th Campus, 9th Floor, LPPI Room
Jl. Ringroad Selatan, Kragilan, Tamanan, Banguntapan, Bantul, Yogyakarta, Indonesia 55191
Phone: +62 (274) 563515, 511830, 379418, 371120 ext. 4902, Fax: +62 274 564604

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

View TELKOMNIKA Stats