Innovative ideas for teaching supports: Application to Graph theory
Nicolas Catusse (G-SCOP\_ROSP), Hadrien Cambazard, Nadia Brauner, (G-SCOP\_ROSP), Bernard Penz, Florian Fontan

TL;DR
This paper introduces an innovative platform that enables teachers to share graph theory teaching resources and activities, fostering student autonomy and providing immediate feedback through coding exercises and generated questions.
Contribution
It presents a novel open community platform for sharing graph theory teaching contents and activities, enhancing student engagement and assessment capabilities.
Findings
Large collection of exercises available for various levels
Activities include coding in classical programming languages
Platform supports immediate feedback and student evaluation
Abstract
Teaching graph theory with the most adequate tools requires time and ideas. We present how an open community of teachers shares contents and ideas on an innovative platform. The objective is to get the students autonomous in their training with activities that give them immediate feedback on their understanding. Beyond learning, the very large collection of exercises of various levels can also be used to evaluate the student's level. The proposed activities can be algorithm's code in classical programming languages (e.g. Java, Python) that the student can test with predefined tests proposed by the teacher or collections of generated questions.
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Taxonomy
TopicsTeaching and Learning Programming
