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Open platform to model and capture experimental data in Technology enhanced learning systems

Abstract : We are working in the context of our research team (multidisciplinary with numerous and various TEL systems), on the design and implementation of an open platform to collect, save and share experimental data drawn from the interaction with TEL systems as well as to build, save and share the analysis processes executed on these traces. From our point of view both data and analysis processes are worth to be stored and shared, and moreover have to be joined in a unique repository to get the whole picture. This communication presents the data part of the project. An analysis of contemporary platforms shows the lack of solution for a repository of data joined to the analysis processes in the domain of TEL systems, and points out the limitations of current platform dedicated to TEL data. Hence a general, simple and customizable model of TEL systems interaction traces is proposed. It put emphasis on the users (learners, teachers) and allocates a reasonable weight to the pedagogical situation. This is implemented in a web platform, on one side connected to one (or several) TEL systems (via http protocol and javascript API) for the collection of the traces, and on the other side linked to pre- defined databases to save the data. Another added-value of the platform is to allow to share the data. The final part of the communication demonstrates several real use cases taken from our research team work.
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Submitted on : Thursday, March 20, 2014 - 4:19:58 PM
Last modification on : Wednesday, July 6, 2022 - 4:17:20 AM
Long-term archiving on: : Friday, June 20, 2014 - 10:37:23 AM


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  • HAL Id : hal-00948795, version 1



Denis Bouhineau, Vanda Luengo, Nadine Mandran, Michael Ortega, Claire Wajeman, et al.. Open platform to model and capture experimental data in Technology enhanced learning systems. Workshop Data Analysis and Interpretation for Learning Environments, 2013, Autrans, France. ⟨hal-00948795⟩



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