Intelligent IoT Devices and Data Analytics as a Guide to Enhancing the Effectiveness of English Language Teaching and Learning DOI Creative Commons
Yuyan Yin, Hongzhen Feng

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract With the wide application of Internet Things (IoT) technology, Artificial Intelligence (AI), Big Data and other technologies in field school education, smart education has emerged. Based on sensing technology data processing IoT devices, this paper constructs general framework conceptual model classrooms by combining needs design concepts classroom systems. The set student behavior English is designed to analyze degree episodic learning learners through clustering. Then, correlation analysis externally apparent behaviors implicit carried out, value between two calculated, behavioral features are scored ranked using random forest algorithm. experimental results show that can be analyzed according algorithm environment, it also found abnormal a significant negative with academic effectiveness (P=-0.398), significance reaches 0.142. This result validates validity behaviors, supports implementation personalized teaching, guiding significance.

Language: Английский

Freshmen’s Perceptions of the Effect of Technology on Learning English: A Case Study at the National University of Battambang, Cambodia DOI
Vireak Keo, Rany Sam, Bunrosy Lan

et al.

Journal of Social Knowledge Education (JSKE), Journal Year: 2025, Volume and Issue: 6(1), P. 54 - 75

Published: Feb. 8, 2025

Purpose of the study: This study investigates first-year students' perceptions and impact technology integration on English language learning at National University Battambang (NUBB). Methodology: The research garthered data from 205 students across various majors through purposive sampling a structured questionnaire. Data analysis involved descriptive statistics, independent sample t tests, one-way ANOVA, regression analysis. Main Findings: findings indicate that online searches computer software are most frequently utilized tools, with mobile apps perceived as highly effective for enhancing skills. Students exhibit positive attitudes toward technology, contributing to improve outcomes. While no significant gender differences were observed in areas, female demonstrated lower levels compared males. Additionally, age did not significantly influence general use but affected its effectiveness supporting learning. Notably, technology-assisted (TALL) had strongest Novelty/Originality this is original prior (NUBB) has focused or By surveying freshmen using quantitative approach, it provides unique baseline understanding how supports acquisition context, addressing critical gap institution.

Language: Английский

Citations

0
Predicting College Student Engagement in Physical Education Classes Using Machine Learning and Structural Equation Modeling DOI Creative Commons
Liguo Zhang,

Jiarui Gao,

Liangyu Zhao

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(7), P. 3884 - 3884

Published: April 2, 2025

Digital technology has become increasingly prevalent in higher education classrooms. However, the impact of different types and use frequencies digital on college students’ classroom engagement can vary substantially. This study aims to develop an interpretable machine learning model predict student based various technologies construct a structural equation (SEM) further investigate underlying mechanisms involving perceived usefulness (PU), ease (PEU), academic self-efficacy (ASE). Nine algorithms were employed predictive models, rank importance tools, identify optimal for engagement. A total 1158 eligible Chinese university students participated this study. The results indicated that subject-specific software, management websites, mobile devices identified as key factors influencing Interaction effect analyses revealed significant synergistic effects between software identifying them primary determinants SEM demonstrated usage frequency indirectly influenced through PU, PEU, ASE, with both PU ASE well PEU playing chain-mediated roles. findings underscore integrating tools strategically PE classrooms enhance These insights offer practical implications institutions policymakers.

Language: Английский

Citations

0
Intelligent IoT Devices and Data Analytics as a Guide to Enhancing the Effectiveness of English Language Teaching and Learning DOI Creative Commons
Yuyan Yin, Hongzhen Feng

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract With the wide application of Internet Things (IoT) technology, Artificial Intelligence (AI), Big Data and other technologies in field school education, smart education has emerged. Based on sensing technology data processing IoT devices, this paper constructs general framework conceptual model classrooms by combining needs design concepts classroom systems. The set student behavior English is designed to analyze degree episodic learning learners through clustering. Then, correlation analysis externally apparent behaviors implicit carried out, value between two calculated, behavioral features are scored ranked using random forest algorithm. experimental results show that can be analyzed according algorithm environment, it also found abnormal a significant negative with academic effectiveness (P=-0.398), significance reaches 0.142. This result validates validity behaviors, supports implementation personalized teaching, guiding significance.

Language: Английский

Citations

0