A self-assessment tool for teachers to improve their LMS skills based on Teaching Analytics
Résumé
While learning management systems have spread for the last decades, many teachers still struggle to fully
operate an LMS within their teaching, beyond its role of a simple resources repository. Moreover, there
is still a lack of work in the literature to help teachers engage as learners of their own environment and
improve their techno-pedagogical skills.Therefore, we suggest a web environment based on teaching analytics
to provide teachers with self and social awareness of their own practices on the LMS. This article focuses
on the behavioral model we designed on the strength of (i) a qualitative analysis from interviews we had
with several pedagogical engineers and (ii) a quantitative analysis we conducted on teachers’ activities on the
University’s LMS. This model describes teachers’ practices through six major explainable axes: evaluation,
reflection, communication, resources, collaboration as well as interactivity and gamification. It can be used
to detect particular teachers who may be in need of specific individual support or conversely, experts of a
particular usage of the LMS who could bring constructive criticism for its improvement. While instrumented
in our environment, this model enables supplying teachers with self-assessment, automatic feedback and peer
recommendations in order to encourage them to improve their skills with the LMS.
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