School Wireless Network Classroom Teaching System Based on Artificial Intelligence

Abstract

With the continuous evolution and advancements in artificial intelligence (AI), network technologies have witnessed substantial improvements. Against the backdrop of the Corona Virus Disease 2019 pandemic, wireless classrooms have emerged as a significant modality for education. This study delves into the integration mechanisms and methodologies of AI-based wireless classrooms across diverse educational institutions. Building upon previous accomplishments, this work elucidates the fundamental aspects of AI, explicates the underpinnings of wireless classrooms, and analyzes pertinent components. Additionally, the study summarizes the elements of audience engagement in the context of wireless networks. The effectiveness of wireless classrooms is assessed through a questionnaire survey administered to students, exploring their perceptions and experiences in independent learning. Furthermore, by incorporating relevant classroom knowledge and employing a well-structured management mechanism, wireless classrooms exhibit distinct advantages over traditional classroom setups, fostering visual feedback, bolstering students’ independent learning capabilities, and elevating the overall quality of modern teaching.

Keywords

• artificial intelligence
• wireless classroom
• education reform
• visual management
• autonomous learning