English TEACHING Method Using Flipped Learning in the Artificial Intelligence Era

Abstract

The purpose of this study is to propose Teaching method and Application case for English education using Flipped learning in the Artificial intelligence era. The study is what flipped learning is and how it was reflected into the class through the design of an education model. The teaching method design is largely classified into three stages: Pre-class pre-study activities, In-class learning activities, Post-class review activities. And this paper examines class comprehension, problem solving performance through monitoring and real time feedback. The main focus of this study is to help learners with the core content so that the contents of online video lectures are not long(to minimize the burden of learning). Second, students can use smart apps in offline lectures to present problems based on the subjects of the lecture, to identify learners’ learning content in real time, and to supplement the questions with detailed supplementary explanations. Third, simple content is produced and presented using various programs to encourage learners to actively participate in the class. Finally, it activates the exchange of opinion so that instructors can present problems according to learning topics and students express their opinions among learners. This paper shows that the class presenting appropriate topics and discussions with flipped learning can enhance the learners experience through creative image expression and cooperation ability by the use of questionnaires or surveys in the artificial Intelligence era. As the future society demands for problem-solving and creative convergence are growing, the results of this paper show that flipped learning based education model has revealed the importance of talent development for the future.