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A Study on the Intelligent Analysis Model of Diversified Facilities in Smart Classroom for English Learners' Learning Effectiveness  ( EI收录)  

文献类型:期刊文献

英文题名:A Study on the Intelligent Analysis Model of Diversified Facilities in Smart Classroom for English Learners' Learning Effectiveness

作者:He, Yun[1,2]; Gong, Zhuo[1]; Hao, Xiaying[3]

机构:[1] Foreign Language Department, Beijing Union University, Beijing, 100101, China; [2] Research Center for Internationalization of Education and Cultural Communication, Beijing Union University, Beijing, 100101, China; [3] School of Education, Qufu Normal University, Shandong, Qufu, 273165, China

第一机构:北京联合大学公共外语部

年份:2025

卷号:46

期号:4

起止页码:3744-3757

外文期刊名:International Journal for Housing Science and Its Applications

收录:EI(收录号:20253419032209);Scopus(收录号:2-s2.0-105013742912)

语种:英文

外文关键词:Computer aided instruction - Environmental regulations - Facilities - Learning systems - Lighting - Signal analysis - Support vector machines - Teaching - Wavelet analysis

摘要:Smart classrooms have attracted much attention as a new type of educational environment, and it is of great significance to study the diversified facilities in smart classrooms to improve the comfort and learning effect during the use of the classroom. In this paper, the TGAM module is used to collect and pre-process the EEG signals of English learners when they are studying in the smart classroom, and wavelet analysis and support vector machine are used to extract and identify the EEG signals, and the EEG signals are used to reflect the effect of English learning, so as to realize the intelligent analysis of the learning effect. Finally, based on the important elements in the space design of the smart classroom, the lighting facilities and thermal environment regulation facilities are selected to analyze their impact on the learning effect. It is found that the EEG signal α and β levels of English learners in the smart classroom are relatively highest when the illumination value is 700lx, and the English learning effect is more ideal at this time. When the PMV value of the thermal environment is -0.29, the R-value of the EEG signals δ + θ of the English learners decreases to 0.063, which indicates that the lighting and the thermal environment facilities in the smart classroom have a greater impact on the English learning effect. This study provides ideas for the development of future programs for the scientific and effective implementation of diverse facilities in smart classrooms. ? 2025 International Association for Housing Science. All rights reserved.

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