Context-Aware Generative Learning Objects for Teaching Computer Science

The paper introduces context-aware Generative Learning Objects (GLOs) to support wide-scale reusability and automatic adaptability in teaching Computer Science (CS) topics. We introduce the theoretical background of the approach to support adaptation through transformations based on the principles of Design-for-Reuse and Design-with-Reuse, which are well known in Software Engineering (SWE), and validate the approach in the robotics-based CS course. We automatically adapt GLOs to the specific context of teaching using transformation tools (refactoring tool and metalanguage processor) to transform a set of context-aware GLOs into usable LOs within the educational Arduino robotics environment.