De la modélisation des indicateurs pour l'apprentissage à la capitalisation par les utilisateurs
Gril Albane, Renault Valérie, May Madeth, George Sébastien (2023),
In Conférence sur les Environnements Informatiques pour l'Apprentissage Humain (EIAH)HAL
(Poster) Conception d'un protocole de recueil de besoin sur les indicateurs d'apprentissage pour leur capitalisation.
Gril (2022),
In RJC EIAHHAL ·
Learning Indicator Capitalization: Protocol for Needs Gathering and User-Centered Design
Gril Albane, Renault Valérie, May Madeth, George Sébastien (2022),
In ICALTHAL ·
A Comparative Analysis of Approches to Design and Capitalize Data Indicators
Gril Albane, May Madeth, Renault Valérie, George Sébastien (2022),
In CELDAHAL ·
PhD Dissertation
Title: Capitalization of data indicators for human learning: model and study of user interactions
Key words: data indicator, capitalization, user interaction, learning analytics
Abstract: We are interested in data indicators for learning. They are used by different actors (learners, teachers, training managers, etc.) to analyze and improve learning. Their use reflects the wide diversity of existing pedagogical practices. We aim to meet the challenges of designing and adopting these data indicators by proposing a capitalization process. The aim of this process is to give all users control over the evolution and relevance of the available indicators.
In examining current approaches to indicator design, we note that users are increasingly solicited, through needs gathering and validation consultations, but often remain passive. Indicator modeling choices also limit their evolution over time and through use. We hypothesize that these users are the driving force behind the capitalization of data indicators.
An initial experimentation enabled us to observe how users perceive data indicators. It also enabled us to consider the part users could play in the capitalization process. These observations led us to identify interactions between users and indicators that could lead to capitalization.
We then developed a model of capitalized indicators capable of being enriched by each of the interactions identified.
These elements are implemented in a prototype, POPCORN, for data indicator capitalization. This instrumentation enables us to test our theoretical proposals with users, mainly teachers. Our analyses are extended to new experiments, always with the aim of making the user the orchestrator of capitalization. These experiments also enable us to validate our model of capitalized indicators as our major contribution to the capitalization process.
05/2023 – AI Day, Le Mans - France, Involvement in the organization of a public day on Artificial Intelligence and its challenges, opening the JSALT international workshop.
05/2023 – Seminar of the écri+ project, Paris - France, Presenting my research work at a bi-annual multidisciplinary meeting of the ANR écri+ projet.
06/2023 – Workshop facilitation, Nice - France, Creation and facilitation of workshops to raise awareness and gather needs around learning indicators in the ANR écri+ projet.
05/2022 – DIDAPRO Conference, Le Mans - France, Participation in the organization and running of the conference
2021, 2022 – Industri'elles and Declics, Le Mans - France, Participation in scientific dissemination to high school students