Teaching Computational Thinking with Interventions Adapted to Undergraduate Students' Proficiency Levels

Abstract

Adapting a teaching intervention to the proficiency level of a student improves learning when teaching programming. The goal of this PhD-project is to discover to what extent this holds when teaching computational thinking (CT) skills. I will first determine how teaching interventions can be adapted to CT proficiency levels, and then examine their effectiveness through a series of longitudinal studies.