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An epistemic hypermedia to learn python as a resource for an introductory course for algorithmic in France

We launched an original large-scale experiment concerning informatics learning in French high schools. We are using the France-IOI platform to federate resources and share observation for research. The first step is the implementation of an adaptive hypermedia based on very fine grain epistemic modules for Python programming learning. We define the necessary traces to be built in order to study the trajectories of navigation the pupils will draw across this hypermedia. It may be browsed by pupils either as a course support, or an extra help to solve the list of exercises (mainly for algorithmics discovery). By leaving the locus of control to the learner, we want to observe the different trajectories they finally draw through our system. These trajectories may be abstracted and interpreted as strategies and then compared for their relative efficiency. Our hypothesis is that learners have different profiles and may use the appropriate strategy accordingly. This paper presents the research questions, the method and the expected results.

Identiferoai:union.ndltd.org:Potsdam/oai:kobv.de-opus-ubp:6454
Date January 2013
CreatorsReffay, Christophe, Miled, Mahdi, Ortiz, Pascal, Février, Loic
PublisherUniversität Potsdam, Extern. Extern
Source SetsPotsdam University
LanguageEnglish
Detected LanguageEnglish
TypeArticle
Formatapplication/pdf
SourceInformatics in schools : local proceedings of the 6th International Conference ISSEP 2013 ; selected papers ; Oldenburg, Germany, February 26–March 2, 2013/Diethelm et al. (Eds.)/ Potsdam: Universitätsverlag Potsdam, 2013/ S.111-118
Rightshttp://creativecommons.org/licenses/by/3.0/de/

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