Discussion of Scientific Literacy Through Interdisciplinary Convergence - Focusing on case of ˂Big Data, IoT, and Humanities Imagination˃ educational cases -

Abstract

Background/Objectives: Scientific literacy education is considered as fundamental competence in the era of scientific and technological advancement, the information age, the era of big data, and the age of artificial intelligence. In this paper, we aim to introduce the method of integrated education through “science liberal arts education” as an approach to cultivation the necessary “scientific literacy” in the era of the information revolution. Methods/Statistical analysis: For convergence education for the cultivation of scientific literacy, in the existing lecture method, the learner’s educational needs were confirmed through the SERVQUL Model before and after learning. Later, as a teaching method to improve the SERVQUL Gap that occurs from this learning motivation, M(Merge) type was selected from among the four types of IC-PBL teaching methods, and then <Big Data, Internet of Things, and Humanities Imagination> education cases were analyzed._Through close collaboration with companies, is was confirmed that class design and the IC-PBL teaching method serve as an opportunity to improve the ‘gap’ between the class motivation that learners expect from class and the instructor’s educational goal. Above all, it served as an opportunity for learners to prepare ‘realistically’ for exploring and designing their own career and the situation of companies outside of school_