Abstract
This paper presents the implementation and evaluation of ILOMAS, an architectural model designed to select Learning Objects (LO) for e-learning, based on multi-agent systems. The proposed model extends the Intelligent Learning Objects approach through the use of a BDI agent architecture, allowing the communication with the instructional resources that constitute the LO according to the SCORM standard. A prototype implementation is presented to evaluate the proposed model.
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de Amorim, J., Silveira, R.A. (2016). ILOMAS: An Intelligent Learning Objects Implementation Study Case. In: Bajo, J., et al. Highlights of Practical Applications of Scalable Multi-Agent Systems. The PAAMS Collection. PAAMS 2016. Communications in Computer and Information Science, vol 616. Springer, Cham. https://doi.org/10.1007/978-3-319-39387-2_36
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DOI: https://doi.org/10.1007/978-3-319-39387-2_36
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