Analysis and Comparison of Computer Sci...

Computer science is playing an increasingly important role in schools and lessons. Due to the many different school systems and organizational structures, a number of curricula, educational standards, and competency models for CS in primary and secondary schools have emerged in recent years. In addition to the official offers at schools, many other activities and materials are made available through projects and initiatives of universities or third-party providers. Comparisons and the search for intersections between curricula and projects due to the obvious differences are a complex task for which a possible solution based on graphs is proposed in this project. In this study selected curricula and projects are represented in form of graphs. This happens by establishing dependency relations between individual elements like learning objectives, educational standards, or competencies within one educational model or project. By using natural language processing and machine learning techniques, a semi-automated approach will be developed to determine dependency relations. It will be used to generate a general model, combining elements from the individual, selected educational models to a single graph. This enables a comparison of the interdependencies between different curricula and their connections to third-party projects.