著者

楠美 順理 濱 泰一

出版者

一般社団法人 日本環境教育学会

雑誌

環境教育 (ISSN:09172866)

巻号頁・発行日

vol.32, no.1, pp.1_85-94, 2023-03-31 (Released:2023-04-29)

参考文献数

7

---

This study discusses education to foster the skills needed to select appropriate information from a large amount of complex information, and to make decisions under conditions of high uncertainty. Based on the question of whether the COVID-19 vaccination is necessary, this study focuses on discussions of the framework of education to foster judgement skills. First we examined rational judgement methods and determined the requirements for judgement education. Then we examined methods for risk education and determined the requirements for that. Finally we examined methods for critical thinking education and determined the requirements for that. Twelve requirements for the desired judgment education were listed and divided into categories based on the degree of reflection required and on who was implementing them. Briefly, A1 is what teachers do, and B1 is a requirement that can be measured at specific achievement levels. B2 is a requirement that should be met to the fullest possible extent. A sample course was designed to meet the requirements of A1 and B1, and to meet the requirements of B2 to the fullest possible extent. The course consists of three components: a “simple story” which supports vaccination based on estimated mortality risk, a “detailed story” which is more cautious in judgement and quantitative evaluation, and, lastly, the processes in which students construct their theories and refine them through discussion. While it is not easy to design a course that meets all 12 requirements, it is important to develop comprehensive skills to judge whether the vaccination is necessary. Reconfirming the importance of fostering skills such as critical thinking, judgement and expression, we created a basic framework to discuss the desired education to foster the skills needed to select appropriate information from a large amount of complex information and to make decisions under conditions of high uncertainty.