Using Build and Runtime Information for Student Adaptive Support
Erik Král, Petr Čápek · 2016
This paper proposes a study focused on Automatic Adaptive Support materials for students in the tuition of programming courses. The support materials, based on real-time build and runtime statistics, include suggestions for successful solutions to similar errors and tasks. A methodology and an extension for a selected Integrated Development Environment is proposed and experiments will be run with students in programming courses to evaluate this tool.