Application of Wireless Sensors in the Design of Smart Learning of the English Language Utilizing Zigbee Network Technology

Abstract

In conventional English classroom instruction, students' learning effectiveness is often affected by various factors, including the classroom setting, individual student circumstances, and the teaching methods employed by instructors. The paper develops an efficient Smart Learning of English Language (SL-EL) system utilizing ZigBee (ZB) technology. This paper enhances the conventional ZB algorithm and develops an SL-EL system utilizing ZB Wireless Sensor Networks (WSN). This paper enhances the prediction algorithm for determining students' precise locations and orientations on the school's premises, examines the SL-EL system's network architecture according to SL's actual requirements, and establishes a three-tier instructional and educational system. This paper establishes system function units based on demand estimation, examines the data analyzing the efficacy of the network nodes within the SL through empirical investigation, and assesses the system's EL learning outcomes. This paper employs simulation methods to analyze 81 data points to assess the ZB network's data-analyzing efficacy. The results indicate that implementing the SL-EL system utilizing the ZB network enables teachers to more effectively manage changes in the classroom setting, monitor students' engagement, and address other constraining factors to enhance teaching and learning effectiveness.