User-Participatory Design of Green Smart Future Schools Using a Design Thinking Process and Big Data Analysis Technique

Abstract

Purpose: The Ministry of Education announced ‘Green Smart Future School’ in 2021, which is a representative project of the Korean New Deal. It was selected as a priority from the ‘School Space Innovation Project’ by the Ministry of Education in 2019. It is based on continuing the basic principle of a ‘Student-Centered User-Participatory Design’. However, the lack of a design process centered on the facilitators, who are the key participants in the design, as well as the distinct clustering of design toolkits has led to repeated design workshops. In addition, it is impossible to determine the relevance in the opinions and results presented by the many participants, thus school space user (Students, Parents, Teachers) rely solely on the facilitators. Method: For this study, the ‘Design Toolkit’ and ‘Service Design Thinking’ decision-making tools were clustered. Further, ‘Text Mining’ and ‘Word Cloud’ were used for big data analysis using the Python software. Finally, this design process and data analysis methodology were performed after selecting actual participating design schools. Result: Significant results were obtained when collectively considering the agreement between the proposed construction images, derived opinions, and satisfaction.