Examining factors that influence teachers to adopt information and Communication Technology in rural secondary schools: an empirical study

Exploration on the football player physical fitness video monitoring system based on information technology

“…In football video detection, machine learning can be used to train models and achieve automatic recognition and classification of the game process. Object detection is a technique that utilizes computer vision and machine learning techniques to identify specific targets in an image [7]. In football video detection, object detection can be used to identify elements such as players, balls, and fields, thereby achieving automatic analysis and statistics of the game process.…”

A Study on Teaching Design Strategies of Secondary School Mathematics Classroom Based on the Cultivation of Mathematical Core Literacy

“…The Importance of the Secondary School Mathematics Classroom The classroom, epitomized as the quintessential organizational nexus of school educational endeavors (Abdumutalibovich & Ganeshina, 2022), emerges as the primary conduit for knowledge dissemination, ability cultivation, and holistic augmentation of student quality. It also manifests as a pivotal channel for actualizing quality education among secondary school students (Zenda & Dlamini, 2023). Within this milieu, students are afforded the opportunity to assimilate knowledge, hone diverse abilities, and nurture the consciousness indispensable for personal growth and development.…”

Continue using or gathering dust? A mixed method research on the factors influencing the continuous use intention for an AI-powered adaptive learning system for rural middle school students

“…Rural students, with their limited exposure to electronic devices, present a unique case of technology adoption. The continuous use intention of these systems in rural settings is critical for sustained educational benefits [ [10] , [11] , [12] ]. Therefore, this study seeks to address these gaps in the literature by (a) analyzing long-term engagement with AI-powered ALS in rural educational settings, (b) assessing the broader applicability of models developed for technology engagement in rural China to other underserved regions worldwide, and (c) contributing to the theoretical understanding of technology adoption in educational contexts that lack widespread exposure to digital devices.…”