The list of topics we will research includes but is not limited to:

• student modelling technologies for representing knowledge, metacognitive skills and strategies and affective state of a student working with an adaptive education system
• technologies for adaptive learning support, such as intelligent tutoring systems and adaptive educational hypermedia
• technologies for supporting collaborative, group-based and social learning scenarios;
• technologies exploiting big data set in education for empowering student and teachers, as well as improving the behavior of intelligent educational software
• modern HCI methods used in education for creating effective learning interfaces including dialog systems, learning companions, serious games and virtual reality

This academic field is extremely interdisciplinary. Hence, the background necessary to study and work with these technologies can be very diverse: knowledge of data mining and machine learning, parsing and rewriting, artificial intelligence and HCI are all useful. The course material as well as topics for group project will be adjusted to the background of the students in order to use the cumulative expertise of the class as much as possible.