Generative Artificial Intelligence in the field of Media Education: Designing a portfolio of educational activities to acquire media literacy competencies about and through GenAI

Abstract

The aim of this dissertation is to see how the implementation of a portfolio of educational activities on the subject of generative AI influences learners’ media literacy competencies on and through GenAI. The research question of this study is therefore: Do educational activities on generative AI increase learners’ media literacy competencies about GenAI? To answer this research question, this work relies primarily on a portfolio of educational activities created specifically for this study, which constitutes both the creation of this dissertation and also the object submitted for analysis in this study. The portfolio comprises four elements: three generative AI educational activities and an instructor’s folder. Each activity deals with a different area of generative AI: text, image and sound. The instructor’s folder is designed to prepare the instructor to deliver the activities. This folder contains both theoretical and practical content to help the instructor prepare for training. The portfolio is put into practice by giving the three activities in the field under real conditions. Following the training courses, learners are invited to complete two questionnaires, and the answers are analyzed qualitatively and quantitatively. The research carried out in this thesis, as well as the implementation of the activities and the results of the questionnaires, provide an answer to the research question.