Education computational ecosystems

Chair: Chun-Yen Chang

This track aims at gathering scientists and practitioners interested in Education computational ecosystems from the point of view of Complex Systems.

Submissions of posters (3 pages LNCS format), short papers (6 pages LNCS format) or full papers (12 pages LNCS format) are encouraged on topics including (but not limited to): Big data in educational learning analytics, Digital and virtual learning environments and spaces, Artificial Intelligence (AI) in educational applications, Educational Extended Reality (XR), STEM education, e-learning, Innovative testing and evaluation, Technology use in teacher education, Distance and online education, Emerging technologies

Submissions and specific reviewing procedure