A multi-agents system to compute human learning indicators activities based on model-driven engineering approach

Djouad, Tarek; Benmohammed, Mohammed

doi:10.1504/ijtel.2018.088339

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A Multi-agent System To Compute Human Learning Indicators Activities1

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“…We propose also to use Multi-agents technology to compute indicators activities based on TBS [31]. The indicator computation-multi agents system IC-MAS [32] we propose allows creating, updating, deleting, reusing and sharing indicator.…”

Section: A Multi-agent System To Compute Human Learning Indicators Activitiesmentioning

confidence: 99%

Trace Based System in TEL Systems: Theory and Practice

Djouad¹,

Mille²

2018

Computational Intelligence and Its Applications

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We present in this paper an easier way to manage activity traces and to compute human learning indicators activities in Technology Enhanced Learning TEL systems. We review our research work related to Trace based system TBS and we explain how we use TBS to develop new and generic model to represent the indicator life cycle from its creation to its reuse. This paper presents the underlying theory and how this theory is implemented to compute human learning indicators activities available for use with any other learning platform, provided the TBS can access the learning platform traces.

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Section: A Multi-agent System To Compute Human Learning Indicators Activitiesmentioning

confidence: 99%