A Semi-Automated Approach to Categorize...

Computer science related curricula, standards and frameworks are designed and implemented in many countries to incorporate informatics education in schools, already starting with kindergarten and primary education. A recurring point of discussion addresses the focus of those educational models concerning the different fields of computer science, so the topics related to the scientific subject of computer science, and digital literacy, the set of skills and competencies needed in everyday life in the digital age. In this paper, we present a semi-automated approach to categorize learning outcomes of computer science related curricula into one of those two categories. Categorization is performed with linguistic metrics computed for nouns and verbs of representative curricula of each category. The categorization is compared against classifications of nine experts of computer science teaching and research. The results show a matching categorization for 70% of all learning outcomes and 90% of learning outcomes uniformly classified by the experts.