Page - 258 - in Intelligent Environments 2019 - Workshop Proceedings of the 15th International Conference on Intelligent Environments

Exploring a New Code for Smart Classroom Analysis Mo WANG a1 , Mengxue JI b , Yulu CUI b, Luyao YUb, Hai ZHANGc a School of Art, Northeast Normal University b School of Information Science and Technology, Northeast Normal University c School of Media Science, Northeast Normal University Abstract. With the rapid development of artificial intelligence, big data, cloud computing and other technologies, educational environments must inevitably evolve. The smart classroom will become commonplace. Comprehensively and deeply analyzing the behaviors of teachers and students in the classroom will promote the reflection and evaluation of teachers and students. However, smart classroom teaching is a dynamic process; existing classroom observation systems such as Flanders Interactive Analysis System (FIAS) and Information Technology- based Interactive Analysis System (ITIAS) cannot adequately aid in the analysis of a smart classroom. This study proposes a Smart Classroom-based Interactive Analysis System (SCIAS) which will provide a framework for educators to analyze and study smart classrooms. Keywords. Classroom observation, Smart classroom, Interactive analysis. 1. Classroom observation "Observation" is the most basic and common method of scientific research. It was first introduced into the field of education in 1950 when Bales, an American social psychologist, put forward the theory of "Interactive Process Analysis". He observed the interpersonal interaction process of group discussions in classroom context by using 12 codes of behavior interaction [1]. Thereafter quantitative research entered the classroom. In the early stage of classroom observation, researchers firstly focused on the interaction between teachers and students. In 1960, Flanders, an American scholar, proposed FIAS (Flanders Interaction Analysis System), a classification system for classroom analysis which has been widely recognized and adopted by later researchers [2]. FIAS divides behaviors of teachers and students into three categories: teacher's language, student's language, and silence or confusion (total 10 possible situations in classroom), and it allows researchers to analyse the data through a matrix [3]. Since then, other influential classroom observation systems were gradually proposed and studied by Bellack in 1966 [4], Mehan in 1979 [5], Keizou in 1983 [6], Cazden in 1986 [7], Tadao in 1997 [8]. These classroom analysis systems provide a scientific analysis method for the description and analysis of interactions by classifying and quantifying 1 Corresponding author: Mo Wang, School of Art, Northeast Normal University; Email: 20412008@qq.com Intelligent Environments 2019 A. Muñoz et al. (Eds.) © 2019 The authors and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0). doi:10.3233/AISE190051 258