Research Article
Multi-Modal Characteristics Analysis of Teaching Behaviors in Intelligent Classroom—Take Junior Middle School Mathematics as an Example
@INPROCEEDINGS{10.1007/978-3-031-50580-5_13, author={Yanqiong Zhang and Xiang Han and Jingyang Lu and Runjia Liu and Xinyao Liu}, title={Multi-Modal Characteristics Analysis of Teaching Behaviors in Intelligent Classroom---Take Junior Middle School Mathematics as an Example}, proceedings={Multimedia Technology and Enhanced Learning. 5th EAI International Conference, ICMTEL 2023, Leicester, UK, April 28-29, 2023, Proceedings, Part IV}, proceedings_a={ICMTEL PART 4}, year={2024}, month={2}, keywords={Intelligent Classroom Characterization Multi-modal Teaching Behavior}, doi={10.1007/978-3-031-50580-5_13} }- Yanqiong Zhang
Xiang Han
Jingyang Lu
Runjia Liu
Xinyao Liu
Year: 2024
Multi-Modal Characteristics Analysis of Teaching Behaviors in Intelligent Classroom—Take Junior Middle School Mathematics as an Example
ICMTEL PART 4
Springer
DOI: 10.1007/978-3-031-50580-5_13
Abstract
An intelligent classroom is based on constructivist learning theory and it is an intelligent and efficient classroom which based on “teacher-driven, student-centered”. Based on the original traditional classroom, the intelligent classroom combines emerging technologies such as big data, the Internet of Things, and artificial intelligence with campus management through hardware carriers, supported by application software services and campus management platforms. In addition to providing teachers with a wealth of teaching tools, the rapid development of intelligent classrooms leads to substantial changes in teaching behavior. In this study, the TEAM model was used to select representative intelligent classroom examples to evaluate the research status of the intelligent classroom. The NVIVO research tool analyzes and encodes video samples from selected areas frame by frame. It is to complete the research on the behavioral characteristics of intelligent classroom teaching and identify potential problems in intelligent classroom teaching. This study finds that analyzing teaching behavior characteristics in intelligent classrooms can help teachers to create an upward classroom learning atmosphere, finding and solving students’ pain points faster, it can also help teachers to teach students according to their aptitude.
