日本におけるデータサイエンス教育のカリキュラム設計に向けて―学校数学との関係に焦点をあてて―

抄録

The purpose of this paper is to explore global trends in data science education and to derive research questions related to the curriculum design of data science education in Japan.

Data science is a systematic process for obtaining knowledge from data, and it is common for the focus of data science education to be on enabling students to carry out a series of processes (e.g. the ‘basic cycle of learning from data’), but we found that the positioning of data science education in school curricula is diverse. Based on these findings, we proposed guidelines for designing data science education curricula in Japan, and presented research issues that we considered necessary to realise curricula based on these guidelines. It is expected that designing diverse data science curricula that take into account the actual situation of each school will have a positive impact on learning guidance in other subjects as well.