Smart Classroom Research Articles

Smart Classroom: A Review and Research Agenda

The presented systematic review aims to adopt a methodological approach of providing quantitative and qualitative knowledge on the emerging notion of the smart classroom. The analysis is based on an assessment of 572 publications published in peer-reviewed journals between 2000 and 2021. Citation networks, cocitation analysis, and publishing patterns have been used to identify important research works, characterize the intellectual structure of the domains, and highlight research gaps. Bibliometric analysis is used to identify the most notable journals, authors, nations, articles, and themes, which was followed by a comprehensive analysis of various disciplines using standard terminology and taxonomy of the papers. Emerging topics including smart interaction and positive engagement, intelligent evaluation, and inter-connected physical surroundings have been explored. Following the exploration of a conceptual framework, potential topics of research have been identified. This research will assist practitioners, educators, administrators, and academic researchers in understanding the fundamentals of smart classrooms and identifying pertinent topics for future research exploration.

Research on Deep Learning Technology to Enhance the Efficiency of Teaching Interaction in College English Classrooms

Abstract Accompanied by the significant progress of deep learning in various fields, target detection, an important branch in the field of deep learning, is gradually being applied in educational scenarios. In this paper, using the GCT-YOLOv5 algorithm and the Lasso-LARs algorithm, we studied how to improve the interactive efficiency of college English classroom teaching Research first combines the YOLOv5 model with the GCT unit, constructs the GCT-YOLOv5 target detection model for students’ classroom behaviors, and compares it with Fast-RCNN, SSD, YOLOv3, YOLOv4, and YOLOv5 in the public dataset and the student classroom behavior dataset for comparison experiments, respectively. Then, the LASSO-LARS algorithm is used to construct the classroom behavior scoring model, adjust classroom teaching interactions according to the scoring results, and analyze the effect of the adjustment. On the classroom behavior dataset, the GCT-YOLOv5 model is 98.81%, second only to Fast-RCNN, and improves 0.65% relative to the original model YOLOv5. Its inference time compared to YOLOv5 inference time increased by only 0.13h, shorter than other models. The GCT-YOLOv5 model in this paper has better applicability and timeliness in general. Teaching interaction adjustment based on the results of classroom behavior analysis can improve students’ classroom performance as well as their academic performance, i.e., enhance the efficiency of teaching interaction and provide a way of thinking about how to monitor learners’ learning status in a smart classroom.

Practical Exploration of Smart Classroom in Piano Teaching

Abstract In this paper, texture mapping technology is utilized to enhance the virtual reality piano teaching situation, and the piano classroom teaching data is integrated through big data statistical analysis methods. A deep neural network based on BERT+BiLSTM+CRF is used to train a named entity recognition model and complete the construction of a knowledge graph for piano subject data. Then, deep learning methods are used to extract the piano subject data and construct a visualized knowledge graph for the piano subject. Analyze the use of the Piano Smart Classroom teaching platform and the development of a blended teaching mode. The design requirements of the piano intelligent teaching platform are planned from two aspects: platform user roles and platform use cases, and the overall design of the piano intelligent teaching platform is carried out. The use of piano teaching video samples is a tool for calculating the teaching language ratio, analyzing the teaching interactions between teachers and students, and comparing the number of interactions between traditional teaching and smart classroom teaching. Analyze the effectiveness of piano-smart classroom teaching in three dimensions: cognition, emotion, and skill. The mean value of the specific content score of piano intelligent classroom teaching is 3.82, which is the single item with the highest mean value, and the piano teaching classroom supported by smart technology can show the piano teaching content more comprehensively.

A Study on the Interactive Approaches of Smart Classrooms in Universities under the Background of Symbolic Interaction Theory

A Study on the Interactive Approaches of Smart Classrooms in Universities under the Background of Symbolic Interaction Theory

The influence of smart classroom on students' learning experience in the digital age

The influence of smart classroom on students' learning experience in the digital age

Impact of Smart Classrooms in Teaching Learning Effectiveness in Higher Education: A Quantitative Investigation

Impact of Smart Classrooms in Teaching Learning Effectiveness in Higher Education: A Quantitative Investigation

Research on the design and application of smart classroom teaching models for promoting deep learning

The deep learning teaching model is a student-centred teaching method that emphasizes guiding students to deep understanding and internalization of knowledge. Compared with traditional shallow learning, it focuses on the cultivation of students' critical thinking, innovation ability and cooperation spirit. And under today's trend of deep integration of information technology and teaching, how to utilize information technology to promote deep learning of college students has become a hot topic in educational research. In this paper, we design a teaching strategy aimed at promoting educational change and innovation through modernized information technology, and take the course "Programming Fundamentals" as an example, and carry out research from the aspects of design principles, learning activities, teaching mode construction, and effect evaluation, aiming to improve the teaching effect of the course and cultivate talents with independent learning ability, teamwork ability and innovation ability.

Effects of Teachers' Collaborative Reflection Supported by Smart Classroom System: A Perspective of Human-machine Collaboration

Effects of Teachers' Collaborative Reflection Supported by Smart Classroom System: A Perspective of Human-machine Collaboration

Reflections on the Construction Path of Smart Classroom in Colleges and Universities under the Background of Internet Plus

Reflections on the Construction Path of Smart Classroom in Colleges and Universities under the Background of Internet Plus

The Innovative Path of Patriotism Education for College Students in the New Era under the Environment of Intelligent Education

Abstract This paper combines modern information technology with the design of mobile Internet smart classrooms and its realization. Using the structural equation model to summarize and refine the key elements of college smart patriotic teaching, the college smart patriotic teaching practice model is proposed, and the quantitative information of each influence path is explored through empirical evidence. After analysis, it can be seen that in the first and second standardized regression coefficient tests, the path coefficient of the wisdom patriotic teaching method on the environment of wisdom patriotic teaching in colleges and universities is 1.138, P=0.262. In addition to this, the other nine influence path hypotheses passed the significance test (P<0.05). In terms of the path coefficient of each path, the highest value reaches 0.58, and the lowest value to -0.14, revealing that the main development of college students’ patriotism is also affected by the diversified and rich influence of various other complex factors. The wisdom patriotic teaching model is highly rated by college students and has a significant difference in satisfaction between different academic degrees (P=0.008). Data support for the innovative path of patriotic education in a smart environment is provided by the findings of this paper.

智能技术背景下智慧教室建设的研究

智能技术背景下智慧教室建设的研究

Anxiety Sentiment Evaluation and Coping Strategies in English Audio-visual Smart Classroom Based on Artificial Intelligence

Anxiety Sentiment Evaluation and Coping Strategies in English Audio-visual Smart Classroom Based on Artificial Intelligence

Research on the Design Strategy of Smart Classroom of Information Technology Course in Primary and Secondary Schools

Research on the Design Strategy of Smart Classroom of Information Technology Course in Primary and Secondary Schools

Wireless Network Based Distance English Education and Teaching Mode in Smart Classroom Mode

Wireless Network Based Distance English Education and Teaching Mode in Smart Classroom Mode

Research on Intelligent Curriculum Teaching for Art and Design Majors in Colleges and Universities in the Information Age

Abstract The construction of smart classroom is an important symbol of the reform of education informatization, and its application can strengthen and enhance the construction of professional disciplines. The construction of a smart teaching model is done in collaboration with art parametric design and aesthetic assessment of art design works in this paper. The visual salient network at the pixel level of the art design is calculated by segmenting salient objects using the original BASNet model. The diffusion equation is used to calculate the visual position probability map, the probability of the corresponding position is calculated based on the layout of the visual elements, and the optimal layout of the visual elements is generated by the candidate region generation algorithm. By creating an aesthetic evaluation module, the image’s global aesthetic information is modeled, and a mapping relationship is established between the learning image and the aesthetic rating. Finally, an empirical analysis of the smart teaching mode is conducted to investigate the impact of this teaching method on students’ learning efficiency and creative ability. The results show that the comprehensive rating of 100 artworks created under the wisdom teaching mode is 3.09, which is greater than 3. The model is found to be significantly helpful for college art majors, as indicated. College art design teachers can use the research in this paper to develop more effective individualized teaching programs through effective strategic guidance.

Visualization Analysis of Smart Classroom Research Based on CiteSpace

Visualization Analysis of Smart Classroom Research Based on CiteSpace

Digital Technology Boosts the Construction of English Smart Classroom in Colleges and Universities

Abstract The application of digital technology in English smart classrooms in colleges and universities explores its impact on teaching effectiveness and students’ academic performance. Based on digital technology, this study examines the construction of English smart classrooms in colleges and universities and its impact on teaching effectiveness. The study collects and analyzes 590,000 teaching behavior data, uses a clustering model to explore teachers’ teaching behaviors, and constructs a set of algorithmic overlay methods for evaluating students’ performance. Through the six-month competent classroom teaching practice, the experimental group showed significant improvement in thinking ability, learning effect and achievement. Specifically, the experimental group’s mean values of verbal thinking, creativity, and critical thinking dimensions were higher than those of the control group by 0.663, 0.572, and 0.581, respectively, and the synergistic ability and problem solving ability were higher by 8.96% and 15.59%, respectively. In addition, the experimental group’s learning attitude, process participation and knowledge mastery were significantly improved, and their academic performance improved by 5.941 points during the experiment. These data confirm the effectiveness of the intelligent classroom in improving learning effect and achievement.

The Application of POA Teaching Concept in English Teaching Reform in the Background of Internet

Abstract How to explore the effective English teaching mode in the Internet era and change the passive learning state of students while promoting the development of students’ English proficiency is an urgent problem to be solved. The application of the POA teaching concept in English teaching reform in the context of the internet. By combining the LDA topic model with the LSTM neural network model, students’ emotional tendencies are fully analyzed during the online evaluation of English smart classrooms. Application practice was carried out through students’ English performance, learning interests, and attitudes before and after the teaching experiment, and sentiment analysis was also carried out for the satisfaction evaluation of English smart classrooms. The results showed that the English grades of the students in the experimental class utilizing the English smart classroom teaching mode increased by 4.95 points compared to the grades of the students in the control class, the overall negative attitude of the students towards English learning decreased by 28.77% after the experiment, and the affective values of the students towards the English smart classroom teaching mode of the teaching mode ranged between [0.6,0.8]. Utilizing POA theory to carry out English smart classroom teaching can enhance students’ interest in English learning, improve the quality of English teaching, and provide certain references for English teaching reform.

Exploration on the Construction of Evaluation Index System for Smart Classroom Teaching in College English

Exploration on the Construction of Evaluation Index System for Smart Classroom Teaching in College English

An AI-enhanced teaching model using a novel deep learning approach

Abstract Today’s strategy of vigorously promoting the modernization of education creates conditions for wisdom teaching and promotes the deep application of artificial intelligence technology in education. In this paper, we construct a deep learning smart teaching model that is enhanced by artificial intelligence based on the occurrence mechanism of deep learning and the theory and method of smart teaching. Furthermore, the structural equation modeling method is utilized to conduct further empirical research on the model based on the theoretical model. Among the seven hypothesized paths of the MPERT teaching model, five hypothesized C.R. values were greater than 1.96, and the P-values were all less than 0.05, indicating that the influence relationships among the variables of the hypothesis were statistically significant. It has been verified that the teaching model can effectively promote the occurrence of deep learning, especially in the enhancement of higher-order competencies such as problem creation, situation creation, and value thinking. The M-PERT teaching model constructed in this study and the practice cases designed based on the model can provide theoretical and practical references for teachers to effectively carry out smart classroom teaching and promote students’ deep learning.