A Strategy for AI-Supplemented Teaching and Learning

This paper presents a strategy designed to evaluate AI-supplemented teaching and learning in a course belonging to a master program in Computer Science at the University of South-Eastern Norway. The strategy was closely related to the delivery format adopted in this program, where students take only one course at a time. Each course lasts for 6 weeks, comprising an initial “reading week”, an “intensive lectures” week, a 3-week “project assignment”, and one “assessment week”. The university supported the cost of OpenAI Plus account subscriptions offered to each student while the course was running, and specific activities were proposed to the class exploring the different ways in which AI tutoring could be used during each one of the 4 phases included in the course work plan. The strategy can be adapted to other program delivery formats by redistributing the proposed activities in accordance with the planned sequence of learning activities. It is also independent of which generative AI tool is selected, although OpenAI Plus accounts allow access to specific features that offer relevant pedagogical benefits, e.g., a simple process to create private language models that are easily customizable to each course subject.