Implementation of an Adaptive Learning System based on Agents and Web Services

Authors

  • Nihad El Ghouch LIST laboratory, The Faculty of Sciences and Technologies, University Abdelmalek Essaadi
  • EL Mokhtar En-Naimi LIST laboratory, The Faculty of Sciences and Technologies, University Abdelmalek Essaadi
  • Mohamed Kouissi LIST laboratory, The Faculty of Sciences and Technologies, University Abdelmalek Essaadi

DOI:

https://doi.org/10.3991/ijet.v15i14.13837

Keywords:

Adaptive Learning System, Multi-Agent System, Case Based Reasoning, Web Service, Java Agent DEvelopment platform

Abstract


Today, the integration of web services and agent technology into Internet applications has attracted the attention of many researchers, so that these applications allow a web service to call an agent service and vice versa. Web services are emerging and promising technologies for the development, deploy-ment and integration of the Internet applications and the use of agents makes them dynamic and automatic, they can provide updates when there is new infor-mation available and improve the qualities of web services by exploiting the ca-pacities and the characteristics of agents. In this context, we propose a prototype of a multi-agent adaptive learning system based on Incremental Hybrid Case Based Reasoning in order to support the learner in his learning process by offer-ing him a learning path adapted to his profile and predict his future learning. This support will be achieved through the execution of a hybrid cycle of Case Based Reasoning which brings together a set of agents collaborating and interacting with each other to provide specific services.

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Published

2020-07-31

How to Cite

El Ghouch, N., En-Naimi, E. M., & Kouissi, M. (2020). Implementation of an Adaptive Learning System based on Agents and Web Services. International Journal of Emerging Technologies in Learning (iJET), 15(14), pp. 162–178. https://doi.org/10.3991/ijet.v15i14.13837

Issue

Vol. 15 No. 14 (2020)

Section

Papers

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