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Towards an Intelligent Learning Objects Based Model for Dynamic E-Learning Content Selection

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Social Computing in Digital Education (SOCIALEDU 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 606))

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Abstract

This paper presents a model for selecting Learning Objects (LO) for e-learning based on the multi-agent paradigm and aiming to facilitate the use of LOs in an adaptive way in Virtual Learning Environments. The proposed framework 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. The agents’ reasoning process uses the elements obtained during the interaction between the student and the object, enabling the building of enhanced dynamic learning experiences. The LMS Moodle was used to validate this proposed model. A prototype and their integration with the LMS Moodle were developed to evaluate the computational feasibility of the proposed model. At last, course simulations were performed, resulting in improved learning experiences.

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Author information

Authors and Affiliations

  1. PPGCC – UFSC, Florianópolis, Brazil

    João de Amorim Jr. & Ricardo Azambuja Silveira

Authors
  1. João de Amorim Jr.
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  2. Ricardo Azambuja Silveira
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Correspondence to João de Amorim Jr. .

Editor information

Editors and Affiliations

  1. Samsung Research Institute, Campinas, São Paulo, Brazil

    Fernando Koch

  2. Samsung Research Institute, Campinas, Brazil

    Andrew Koster

  3. Samsung Research Institute, Campinas, São Paulo, Brazil

    Tiago Primo

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de Amorim, J., Silveira, R.A. (2016). Towards an Intelligent Learning Objects Based Model for Dynamic E-Learning Content Selection. In: Koch, F., Koster, A., Primo, T. (eds) Social Computing in Digital Education. SOCIALEDU 2015. Communications in Computer and Information Science, vol 606. Springer, Cham. https://doi.org/10.1007/978-3-319-39672-9_6

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  • DOI: https://doi.org/10.1007/978-3-319-39672-9_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39671-2

  • Online ISBN: 978-3-319-39672-9

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