Community computer environment supports a COP, CBR approach to solve difficulties

Belmeskine, Rachid; Begdouri, Ahlame; Leclet, Dominique

doi:10.1109/cist.2012.6388064

Cited by 1 publication

(1 citation statement)

References 8 publications

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“…It corresponds to a web 2.0 environment in the form of a social network. The interactions take place through threads supporting the discussions around problems faced by community members [28].…”

Section: B a Partial Solution Through Nicolatmentioning

confidence: 99%

Dynamic Selection Approach to Overcome the Demotivation of Learners in a Community Learning System

Groux-Leclet¹,

Begdouri²,

Belmeskine³

2018

IJISA

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Community of Practice (CoP) is a very rich concept for designing learning systems for adults in relation to their professional development. In particular, for community problem solving. Indeed, Communities of Practice are made up of people who engage in a process of collective learning in a shared domain. The members engage in joint activities and discussions, help each other, and share information. They build relationships that enable them to learn from each other. The most important condition for continuing to learn from a CoP is that the community should live and be active. However, one of the main factors of members demotivation to continue interacting through the CoP is the frequent receipt of a large number of aid requests related to problems that they might not be able to solve. Thing that may lead them to abandon the CoP. In an attempt to overcome this problem, we propose an approach for selecting a group of members who are the most appropriate to contribute to the resolution of a given problem. In this way, the aid request will be sent only to this group. Our approach consists of a static rules-based selection complemented with a dynamic selection based on the ability to solve previous similar problems through analysis of the history of interactions.

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Section: B a Partial Solution Through Nicolatmentioning

confidence: 99%