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Title:      THE IMPACT OF THE ORGANIZATION OF INTERACTION UNITS ON THE PERFORMANCE OF COLLECTING AND ANALYZING DIGITAL INTERACTION TRACES IN LEARNING AND COLLABORATIVE ENVIRONMENTS
Author(s):      Macaire Ngomo and Habib Abdulrab
ISBN:      978-989-8533-82-1
Editors:      Pedro IsaĆ­as and Hans Weghorn
Year:      2018
Edition:      Single
Keywords:      Collaborative Environment, Learning Management System, IEHL, Modelling, Observation, Data Acquisition, Interaction Unit, Interaction Space, Digital Interac
Type:      Full Paper
First Page:      285
Last Page:      295
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      The new dimension of collaboration, brought by collaborative platforms, induces a new management approach that must consider methods of observation and behaviour analysis as a means to optimize the productivity of organizations. From this point of view, although they have evolved a lot in recent years, especially with social networks, the contextualization of digital interaction traces within collaborative platforms remains a major topic for the qualitative performance of data operating systems. The work that we present in this article is part of the projects of implementation of collaborative and learning management systems, collaborative work and services, in a IT Environment for Human Learning vision (IEHL), more precisely, on the intelligent architectures of the platforms aiming at a better organization around the concept of unity of interaction which introduces a sort of contextualization of the collected digital traces. The resolution of the problem of the personalization of IEHL is moreover essentially dependent on the ability to produce relevant and exploitable digital traces of the individual or collective activity of the users (learners in particular), who interact with an IEHL. In this paper, we are interested in the organization of collaborative tools and its impact on the qualitative performance of digital interaction trace analysis mechanisms. Our study is based on the results of observation and analysis of human interactions within collaborative platforms, in particular those developed within the framework of our projects.
   

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