THE DIGITAL REVOLUTION IN EDUCATION SCIENCES: GENERATIVE AI AND DISRUPTIVE TECHNOLOGIES, A NEW ERA FOR PEDAGOGICAL INNOVATION AND ETHICS

The integration of disruptive technologies, including generative AI, into education science is profoundly transforming pedagogical practices and redefining the role of learners. The emergence of the connected learner marks an important breakthrough, where students become autonomous actors in their learning, thanks to constant access to online information and digital tools. This evolution is based on a reinvented pedagogy, which emphasizes learner-centered teaching, promotes active and collaborative learning, and allows for personalization of teaching through adaptive learning systems, often supported by artificial intelligence. Generative AI plays a crucial role in this transformation, making it possible to automatically create educational content tailored to students\' specific needs, such as quizzes, personalized summaries, or even interactive learning scenarios. This ability to generate content on demand offers new possibilities for more flexible, immersive and interactive learning, allowing students to have concrete and personalized experiences, such as simulations or virtual paths. However, this technological revolution raises several challenges, particularly in terms of unequal access to technology, teacher training, and the protection of student data. These ethical concerns must be addressed in order to ensure responsible and equitable adoption of these technologies. The main objective of this contribution is to highlight the challenges associated with the adoption of these technologies in the field of education, such as resistance to change, lack of resources, digital skills of teachers and learners, as well as ethical issues related to data protection. While generative AI and other technologies offer considerable potential to transform education, their implementation must be carefully thought out and balanced, in order to overcome inequalities in access and ethical issues.