The Teacher as a Facilitator for Learning - Flipped Classroom in a Master's Course on Artificial Intelligence

摘要

In this paper, I present a flipped classroom approach for teaching a master's course on artificial intelligence. Traditional lectures in the classroom are outsourced to an open online course to free up valuable time for active, in-class learning activities. In addition, students design and implement intelligent algorithms for solving a variety of relevant problems cherrypicked from online game-like code development platforms. Learning activities are carefully chosen to align with intended learning outcomes, course curriculum, and assessment to allow for learning to be constructed by the students themselves under guidance by the teacher, much in accord with the theory of constructive alignment. Thus, the teacher acts as a facilitator for learning, much similar to that of a personal trainer or a coach. I present an overview of relevant literature, the course content and teaching methods, and a recent course evaluation, before I discuss some limiting frame factors and challenges with the approach and point to future work.