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Interdisciplinary collaboration with subject specialists is a key component in the didactics of "Languages for Specific Purposes" (LSP). For LSP teachers, this collaboration makes it possible to devise contextualized courses that integrate both linguistic objectives and disciplinary content. By basing their teaching on a thorough needs analysis, LSP teachers design tailor-made didactic content that precisely meets the communicative requirements of learners in their specialist field.However, the position of LSP teachers within the institution can sometimes make such collaborations less obvious; moreover, it is often LSP teachers who initiate and support exchanges. This workshop aims to deepen understanding of the aforementioned collaborative dynamics, with the aim of improving student learning outcomes by strengthening interdisciplinary connections and fostering an integrated didactic approach.

From its formal appearance in the 3rd year of general secondary education in FW-B, the chemistry course takes the form of a program detailing a series of contents to be taught. Within the framework of an internal didactic transposition specific to their activity, teachers are led to estimate their relative importance in the curriculum and to transform them. In the midst of a pandemic or following a prolonged absence, what content will teachers retain, adapt or delete?This research project proposes to study this prioritization of the content to be taught in the chemistry course by the teaching staff. More specifically, this paper focuses on the construction and analysis of a questionnaire investigating the organization of the main chapters (UAA) by chemistry teachers.

The program 2:00 pm | Keynote lecture on the use of AI in research - Hugues BERSINI, Professor at the Université libre de Bruxelles: "Can science be just data driven?" 3:00 pm | Presentations by UNamur researchers3:00 pm | Catherine Guirkinger: Use of AI in an economic history project3:15 pm | Nicolas Roy (PI: Alexandre Mayer): AI at the service of innovation in photonics and optics: revealing the secrets of scrolls through the classification of animal species15:25 | Nemanja Antonic (PI: Elio Tuci): An in silico representation of C. elegans collective behaviour<15h35 | Nicolas Franco : The benefits and dangers of "predicting the future" with covid-like machine learning models 15h45 | Michel Ajzen : Managerial and human implications of AI in organizations <15h55 | Robin Ghyselinck (PI : Bruno Dumas) : Deep Learning for endoscopy: towards next generation computer-aided diagnosis4:05 pm | Auguste Debroise (PI : Guilhem Cassan) : LLMs to measure the importance of stereotypes within gender representations in Hollywood films16h15 | Gabriel Dias De Carvalho : Learning practices in physics using generative AI16h25 | Sébastien Dujardin (PI : Catherine Linard) : Where Geography meets AI: A case study on mapping online flood conversations16h35 | Jeremy Dodeigne : LLMs in SHS: revolutionary tools in a Wild West Territory? Reflections on costs, transparency and open science16h45 | Antoinette Rouvroy : Governing AI in Democracy17h00 | Keynote lecture on ethics and guidelines to consider when using AI in research projects and writing research articles - Bettina BERENDT, Professor at KU Leuven18h00 | Benoît Frenay and Michaël Lobet : Creation of an IA scientific committee at UNamur18:10 | DrinkA certificate of attendance, worth 0.5 cross-disciplinary doctoral training credits, will be issued on request. Contact: secretariat.adre@unamur.beThis event is free of charge, but registration is required. I want to register