0000000000374927
AUTHOR
Denis Zhidkikh
Measuring self‐regulated learning in a junior high school mathematics classroom : Combining aptitude and event measures in digital learning materials
Background Measurement of students' self-regulation skills is an active topic in education research, as effective assessment helps devising support interventions to foster academic achievement. Measures based on event tracing usually require large amounts of data (e.g., MOOCs and large courses), while aptitude measures are often qualitative and need careful interpretation. Precise and interpretable evaluation of self-regulation skills in a normal K-12 classroom thus poses a challenge. Objectives The present study proposes and explores a learning analytics method of combining aptitude and event measures to evaluate student's self-regulation skills. Methods An explorative learning analytics s…
”CodeInnova”: A Unified Framework for Teaching Programming and Computational Thinking In Primary Schools
Teaching programming and computational thinking (CT) in primary schools have become more common in the last decade. However, there has been little international consensus on what teaching the topics encompass. We present CodeInnova, a framework developed jointly between four partnering countries for teaching programming and CT in K–9. In this paper, we present the curriculum for teaching CT and the accompanying teaching materials developed in CodeInnova. We also discuss preliminary results of testing the developed resources in classrooms.