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The intelligent classroom is a popular application scenario in the field of artificial intelligence. This paper proposes a face detection algorithm based on improved YOLOv5, named YOLOv5-SASA, to address the issues of missed or false detection caused by small or occluded faces in images captured by cameras located far away or at an angle. The algorithm consists of three parts. Firstly, the CSPDarknet53 network is utilized in the backbone layer, and the BasicRFB module is used in the final spatial pooling layer to enhance the network's feature extraction ability. Secondly, the NWD loss function is employed to improve the model's robustness in detecting small targets. Thirdly, the independent self- attention mechanism module SASA is introduced in the head layer to address the issue of face occlusion and reduce the model's parameter count. Finally, the improved YOLOv5 network is optimized by reducing the number of neurons in the middle layer channels and adjusting the learning rate to avoid overfitting. Experimental results demonstrate that the proposed method outperforms the original network in the easy, medium, and hard levels of the WiderFace validation set, achieving accuracies of 97.5%, 96.3%, and 86.5%, respectively, which effectively improves the accuracy of face detection in classroom scenarios. [ABSTRACT FROM AUTHOR]

Copyright of Digital Education is the property of Haiyan Publishing Co. Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Digital Education is the property of Haiyan Publishing Co. Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

To study the thermal comfort and adaptation characteristics of short-term thermal experiences in universities during the transition season in cold regions, a university in Xi'an was selected as the research object to measure the thermal environment parameters in classrooms during the transition season. At the same time, 307 students were surveyed for their subjective evaluations of classroom thermal sensation and self-learning efficiency after experiencing short-term thermal experiences. The results show that the expected neutral temperature affected by short-term thermal experience is 25.8 ℃, while the measured thermal neutral temperature is 22.7 ℃, with a difference of 3.1 ℃. This indicates that the influence of short-term thermal experience has led to a lower neutral temperature. Through research, the adaptive average thermal sensation (aPMV) during the influence period of short-term thermal experience was estimated. By analyzing the changes in students' voting on learning efficiency and learning enthusiasm, it is found that the proportion of students' learning efficiency and learning enthusiasm is the highest when the short-term hot experience duration is > 5～10 min, and lowest when the duration is 0～3 min; The students' expected changes in indoor temperature affect the expected evaluation of outdoor air comfort and satisfaction. The conclusions provide a reference for the study of the impact of short-term thermal experiences in universities on thermal comfort and adaptation in classrooms. [ABSTRACT FROM AUTHOR]

An online course of physical chemistry experiment was developed. The primary goal of the course is to bridge the gap between the challenges posed by physical chemistry experiment and limited classroom teaching time. Moreover, we anticipate that the course will compensate for the shortcomings of traditional physical chemistry experiment teaching, which emphasizes the process and ignores the results. This online course should cultivate student knowledge, skills, and thinking ability through modules, such as experimental principles, instrument operation simulation, experimental exercises, and problem solving. Furthermore, the course can serve as a remarkable complementary approach to offline experimental operation training. The online course of physical chemistry experiment provides a prerequisite for flipping the traditional classroom of physical chemistry experiment and significantly improves teaching effects. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Distance Education (1672-0008) is the property of Zhejiang Open University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

With the educational reform in the information age, the promotion and application of smart classrooms are becoming more and more extensive, smart classrooms have become an increasingly important teaching resource in today's teaching activities. While the teaching effect is prominent, it also poses new challenges to the operation and maintenance of smart classrooms. How to build a long-term operation and maintenance mode of smart classrooms is a question worth considering and exploring. The article summarizes the main characteristics and existing problems of operation and maintenance of smart classrooms, a flexible and dynamic construction idea of the operation and maintenance mode is proposed based on the connotation of the mode driven by the operation and maintenance demand, and shares the practical application results and experience. It is expected to provide reference ideas for the construction of the operation and maintenance mode of smart classrooms in various universities. [ABSTRACT FROM AUTHOR]

Copyright of International Journal of Chinese Language Education is the property of Education University of Hong Kong and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In the course of instrumental analysis, the blended teaching mode is designed, consisting of front analysis, the learning process online before class, online and offline linkage, classroom teaching offline, guidance after class, and learning evaluations. Taking the "Gas chromatography method" as an example, the practical applications of the blended teaching mode in the instrumental analysis course are fully studied, based on the comprehensive analysis of the learning conditions, the detailed collation of teaching contents, the designation of online and offline teaching processes, and the implementation of multi-dimensional learning evaluations. The advantages and problems in the applications of the blended teaching mode are discussed according to teaching reflection. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Educational Studies (1673-1298) is the property of Journal of Educational Studies Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Research in Education Sciences is the property of National Taiwan Normal University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Educational Policy Forum is the property of National Chi Nan University, Department of Education Policy & Administration and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Chongqing University of Posts & Telecommunications (Natural Science Edition) is the property of Chongqing University of Posts & Telecommunications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Architectural Journal / Jian Zhu Xue Bao is the property of Architectural Journal Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Architectural Journal / Jian Zhu Xue Bao is the property of Architectural Journal Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Taiwan Journal of Sociology of Education is the property of Taiwan Association for the Sociology of Education and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Shanghai Physical Education Institute / Shanghai Tiyu Xueyuan Xuebao is the property of Shanghai Physical Education Institute and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Compared with the more mature and more consensus microeconomics, there are greater differences in the theoretical viewpoints and policy implications of macroeconomics. The development of macroeconomics pays special attention to the methodological basis of unification with microeconomics. In teaching practice, it is an effective way to realize the teaching goal of macroeconomics and improve the teaching effect by trying to carry out classroom teaching from the two dimensions of textbook selection and assignment arrangement mode of intermediate macroeconomics of postgraduates. Teachers should strongly recommend students to read the original English textbooks and supplemented by Chinese translation, promote students to complete their homework in the form of team and interactive correction, and promote the organic complementarity of offline team work mode and online platform work mode, which helps to improve the teaching effect of intermediate macroeconomics, accelerate students ’ understanding of macroeconomics professional knowledge and improve macroeconomics analysis ability. [ABSTRACT FROM AUTHOR]

Copyright of China Pulp & Paper is the property of China Pulp & Paper Magazines Publisher and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of School Administrators is the property of School Administration Research Association, R.O.C. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Educational Practice & Research is the property of National Taipei University of Education and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Educational Practice & Research is the property of National Taipei University of Education and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The multi-task convolutional neural network（MTCNN） face detection algorithm has a low detection rate of small faces in classroom scenes.An improved MTCNN algorithm that integrates context features was thus proposed. Firstly, the context convolution module was integrated with the R-Net layer network of the MTCNN model, and the feature map receptive field was expanded to obtain more small face information. Secondly, the deconvolution layer and the max-pooling layer were introduced to solve the problem of inconsistency of feature fusion data dimensions. Finally, the O-Net layer network of the MTCNN model integrated the context convolution module to further extract the small face feature information, and two convolutional pooling layers were introduced for feature fusion. The experimental results show the detection accuracy increased by 3% on the FDDB data set, the face detection recall rate and the F1 score increased by 8.69% and 4.94% respectively on the classroom scene data set compared with those of MTCNN algorithm. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Shanghai Physical Education Institute / Shanghai Tiyu Xueyuan Xuebao is the property of Shanghai Physical Education Institute and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Education Research (1680-6360) is the property of Angle Publishing Co., Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Education Research (1680-6360) is the property of Angle Publishing Co., Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Aiming at the low detection rate of the existing classroom attendance system and the in convenience of data query. a non-perceptual classroom attendance system based on face recognition is proposed and designed. Using the Android development platform. the image collected by the front-end was first transferred to the server through OkHups technology. Then the information of the class in the database MySQL. was retrieved. Then the face image of each student was filtered through the improved Fust face detection algorithm and the similarity value within the class and similarity value between the class generated VIPLFaceNet face recognition threshold. which recognized the screened face images and obtained the attendance result. Finally. the attendance result was sent to the front end. the Administrator could access the server to query attend ance data, The experimental results showed that the recall rate of the improved Fust face deteetion algorithm and the recognition rate of the VIPLFaceNet face recognition algorithm could reach 90.18% and 98.79% respectively. [ABSTRACT FROM AUTHOR]

The changes of higher education and the factors impacting college students' reading are analyzed. To pomote the reading of college students, we should perfect the curriculum system, reform classroom teaching model, give play to the autonomous learning ability of the students and improve the teaching - focused reading service of the library. [ABSTRACT FROM AUTHOR]

Copyright of Bulletin of Educational Research is the property of National Taiwan Normal University, Department of Education and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Education Research (1680-6360) is the property of Angle Publishing Co., Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Projectors are widely used in classrooms. Because the screen is sensitive to the brightness，it needs to adjust the light of the classroom or to switch the window curtains artificially when the projector is used. This paper shows an intelligent control system based on the single chip. When the curtain of the projector falls，the brightness of classrooms is detected. If the brightness is dark and suitable for projector use，then no action is taken; otherwise，if the brightness is light，the front lamps are closed and a stepper motor is drove to close the window curtains，so the brightness of classroom is dimmed. This control system can realize the smart linkage between the brightness of classroom and the projector，so can save manpower and improve class efficiency. [ABSTRACT FROM AUTHOR]

To solve the present problems, a JITT-based college students evaluation system is constructed and applied in Bohai University's program on elementary education. On the basis of JITT teaching mode, networked classrooms are used to evaluate students' performance, so that students may find their own drawbacks in study and take corresponding measures. [ABSTRACT FROM AUTHOR]