Doctoral candidate John Mark Aiken at the Department of Physics, Faculty of Mathematics and Natural Sciences, is defending the thesis "Understanding University Student Pathways Towards Graduation with Machine Learning and Institutional Data" for the degree of Philosophiae Doctor.
Computer science was originally invented as a tool to support learning in other disciplines, including engineering and economics. Today, most of computer science education is aimed at preparing future software developers. How do we broaden the appeal of and access to computer science education, to something closer to what the inventors of the field had in mind?
Practical work like laboratory work and fieldwork is integrated parts of many science educational programmes. However what do students learn through practical work?, and is it the same in different types of practical work?
The ScienceAtHome group at Aarhus University has developed a number of games and tools for quantum-physics-based citizen science and education. One of these tools, Quantum Composer, allows students and researchers to explore quantum mechanics in one dimension.
We have developed a framework to describe the modeling process in physics laboratory activities.
This talk investigates what it means to learn computer science content, how we might better support computer science learning, and how we might better understand what learners know.