Exploration of learning analytics in educational modular robotics
Résumé
Due to the interaction of hardware, software, and electronics, modular robotics is a multidimensional field aiming to create autonomous systems that can sense their environment to achieve certain goals or tasks. We can support creative problem solving (CPS) with the use of educational robots in ill-defined problem-solving tasks. The analysis of CPS in educational robotics can be supported by different assessment methodologies including direct observation, self-reported data but also learning analytics from the robots being used during the CPS tasks. Our intention in this research paper is to study learning analytics current stateof-the-art with a particular focus on modular robotics. This study can help in advancing the analysis of the current limits but also opportunities of learning analytics in modular educational robotics to be able to support automated ways to collect data and interpret them in the context of human CPS.
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