With the generalization of Artificial Intelligence, the field of education is changing fundamentally. AI contributes to the appearance of new ways to teach and learn, which can make the educational experience more efficient and engaging. For example, it is a way to solve the « one size fits all » problem faced by traditional teaching.
Artificial Intelligence is thus becoming a hot topic in education. Keywords as customisation, dashboards, intelligent tutors, learning analytics, quality improvement, student motivation, engagement, etc. are now buzz words in the domain. However, introducing AI in education cannot come down to designing and using AI tools. Dimensions such as pedagogy, social and educational sciences, psychology also have to be considered. AI in education is therefore a multidisciplinary domain.
As part of the “AI and Education: Modeling real-world problems” autumn school, we aim to understand, foster and support the development of AI in education, by considering several disciplines, topics and points of view, from theoretical to practical problems. To this end, the school provides basic concepts, state-of-the-art and new insights in several domains, such as educational data mining, statistical learning, knowledge management, user (teacher/learner) experience, co-design, personalised stakeholders support, acceptance, adoption, evaluation, etc., considering obviously the links between them.
The summer school will proceed in three successive phases:
The ‘AI and Education: Modeling real-world problems’ summer school will be held as a co-located event of the LSAC conference from Thursday the 17th of October to Friday the 25th of October, in Nancy, France.
Any practitioner, Ph.D. student, post-doc, researcher, or Master student, interested in AI or in education is invited to attend the school, whatever is his/her main area of knowledge (education, psychology, computer science, etc.). As it is a multidisciplinary school, no specific background is required to attend it, an interest in all disciplines will be appreciated.
Four social events the autumn school will take place during the autumn school.
Participation at the autumn school requires pre-registration via: http://enquetes.univ-lorraine.fr/index.php/883718?lang=en. Some slots are still available.
The autumn school has a limited number of places, so the allocation of places will be on a first-come, first-served basis. Pre-registration will remain open until the capacity limit is reached. Reserving an accommodation lies in the responsibility of participants, recommended dormitories and hotels are on the website.
Registration fees include coffee breaks (twice each day) and lunch for each day (except Sunday 20th), and the four social events. We will probably be able to include dinner for each day in the registration fees. Registration closes on 11th October.
Students (PhD Thesis and Master): 350 € . / Academic (Post Doc, Researchers): 400 € . / Private attendee: 600 € / Free for Université de Lorraine students (mandatory pre-registration)
More on : lsac2019.loria.fr/autumn_school.html