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Journal articles on the topic 'Smart classroom'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

YanJie, Wang, and Boon Keat Ooi. "Smart Classroom: The Evolution and Application in Teaching and Learning." International Journal of Social Science and Human Research 07, no. 08 (2024): 6271–84. https://doi.org/10.5281/zenodo.13709566.

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As a high end form of technology enriched classrooms, smart classrooms are the inevitable result of information technology and education development, as well as the supporting conditions for effectively promoting changes in teaching meth ods and enhancing t alent cultivation goals. Sorting out the evolution of the smart classroom, analyzing the educational impact brought by the smart classroom, and summarizing the lessons learned from the actual use of the smart classroom are crucial to constru cting a new gen eration of smart classroom teaching environments and realizing the talent cultivatio

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Huang, Li-Shing, Jui-Yuan Su, and Tsang-Long Pao. "A Context Aware Smart Classroom Architecture for Smart Campuses." Applied Sciences 9, no. 9 (2019): 1837. http://dx.doi.org/10.3390/app9091837.

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The Smart campus is a concept of an education institute using technologies, such as information systems, internet of things (IoT), and context-aware computing, to support learning, teaching, and administrative activities. Classrooms are important building blocks of a school campus. Therefore, a feasible architecture for building and running smart classrooms is essential for a smart campus. However, most studies related to the smart classroom are focused on studying or addressing particular technical or educational issues, such as networking, AI applications, lecture quality, and user responses

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Saini, Mukesh Kumar, and Neeraj Goel. "How Smart Are Smart Classrooms? A Review of Smart Classroom Technologies." ACM Computing Surveys 52, no. 6 (2020): 1–28. http://dx.doi.org/10.1145/3365757.

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Edi Gunarto, Hurriyah, and Didin Nurul Rosidin. "The Manajemen Pembelajaran Berbasis Kelas Cerdas Untuk Meningkatkan Hasil Belajar Siswa SMAIT Al-Multazam 2 Kabupaten Linggajati Kuningan." TANZHIMUNA 3, no. 1 (2023): 34–56. http://dx.doi.org/10.54213/tanzhimuna.v3i1.248.

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This study aims to: 1) Describe Smart Classroom-based Learning Planning at SMAIT Al-Multazam 2 Linggajati, 2) Describe Smart Classroom-based learning organization at SMAIT Al-Multazam 2 Linggajati, 3) Describe Smart Classroom-based learning at SMAIT Al-Multazam 2 Linggajati, 4) explanation of limitations on Smart Classroom-based learning at SMAIT Al-Multazam 2 Linggajati, 4) Verifying evaluation in Smart Classroom-based learning at SMAIT Al-Multazam 2 Linggajati. The method used in this study is qualitative research which seeks to solve problems encountered during research with data collection

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Zhang, Yongmao, Hua Zhao, and Dan Peng. "Exploration and Research on Smart Sports Classrooms in Colleges in the Information Age." Applied Bionics and Biomechanics 2022 (May 29, 2022): 1–9. http://dx.doi.org/10.1155/2022/2970496.

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Smart classrooms, made possible by the growing use of Internet information technology in the sphere of education, as one of the important foundations for the realization of smart education, have become the current hot direction of the development of educational information innovation and intend to propose some ideas and directions for smart sports teaching research in IA colleges and universities. The smart classroom is an intelligent and efficient classroom created by the “Internet +” way of thinking and the new generation of information technologies such as big data and cloud computing. This

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Yu, Huiju, Gaojun Shi, Jiaping Li, and Junfeng Yang. "Analyzing the Differences of Interaction and Engagement in a Smart Classroom and a Traditional Classroom." Sustainability 14, no. 13 (2022): 8184. http://dx.doi.org/10.3390/su14138184.

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Interaction in the classroom plays the key role for cultivating students’ 21st century skills. Insufficient breadth of interaction, uneven interaction opportunities, and chaotic interaction existed in many classrooms. With the integration of technology into education, many smart classrooms were built, with one of the aims being to promote interaction. However, the differences of interaction behaviors and engagement in a smart class versus a traditional class could rarely be found in literature, especially with the same teacher lecturing in both classes. In this study, a quasi-experiment was co

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Huang, Chengfeng. "Smart Classroom Empowering Students’ Growth and Development: A Case Study of Zhongliang Xiangyun Branch of Chengdu Longjiang Road Primary School." Science Insights Education Frontiers 15, S1 (2023): 14. http://dx.doi.org/10.15354/sief.23.s1.ab014.

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As a “key project school of smart education” in Wuhou District, Zhongliang Xiangyun Branch of Chengdu Longjiang Road Primary School actively explores smart education projects, promotes classroom teaching and learning reform, and strives to create smart classrooms with strict standards, high quality, and high efficiency under the guidance of the Wuhou “National Smart Education Demonstration Zone”. The school focuses on student-centered learning and improving core literacy, while combining the concept of the new national curriculum standards and the requirements of digital education transformati

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Celestin Ngendabanga, Pascal Nsanzimana, Faustin Nduwayezu, Violette Umuhoza, and Jean Baptiste Nkurunziza. "Effect of smart classroom on learners’ performance in organic chemistry: A case study of senior five students in Kicukiro district- Rwanda." GSC Biological and Pharmaceutical Sciences 16, no. 2 (2021): 204–11. http://dx.doi.org/10.30574/gscbps.2021.16.2.0251.

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The present study was conducted to explore the effect of smart classroom on learners’ performance in chemistry. This study was carried out on 71 senior five students selected randomly. After collecting data, t-test and linear regression analysis were used to analyze the data. Based on the research findings, it has been discovered that smart classroom motivated learners in teaching and learning organic chemistry. The results showed a significance difference between leaners taught through smart classroom and those not taught through smart classroom. These results also demonstrated that there is

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Celestin, Ngendabanga, Nsanzimana Pascal, Nduwayezu Faustin, Umuhoza Violette, and Baptiste Nkurunziza Jean. "Effect of smart classroom on learners' performance in organic chemistry: A case study of senior five students in Kicukiro district- Rwanda." GSC Biological and Pharmaceutical Sciences 16, no. 2 (2021): 204–11. https://doi.org/10.5281/zenodo.5506510.

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The present study was conducted to explore the effect of smart classroom on learners’ performance in chemistry. This study was carried out on 71 senior five students selected randomly. After collecting data, t-test and linear regression analysis were used to analyze the data. Based on the research findings, it has been discovered that smart classroom motivated learners in teaching and learning organic chemistry. The results showed a significance difference between leaners taught through smart classroom and those not taught through smart classroom. These results also demonstrated that the

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Ren, Fengjie. "The Construction and Application of Smart Classrooms in China: A Literature Review Based on 93 Studies." Science Insights Education Frontiers 23, no. 1 (2024): 3705–24. http://dx.doi.org/10.15354/sief.24.re385.

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The smart classroom, as a product of advances in information technology, has garnered wide attention in academia in recent years. Using the method of literature review, this article delves into the construction and application of smart classrooms in China on the basis of 93 prior studies retrieved from the database of the China National Knowledge Infrastructure. Research results show that there is a lack of uniform evaluation criteria for the construction of smart classrooms despite the prominent advancements in their systems and facilities, and that in the dimension of applications, there has

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Badami, Amogha Revanasiddappa, Arjun T, and Dhanush N. Hitesh Kumar P. Mr Jayanth C. "Evolution of Smart Classroom Concept Integrated with Smart Devices." International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (2018): 116–21. http://dx.doi.org/10.31142/ijtsrd12852.

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Ye, Liu, and Zhu Lu. "An Empirical Study on the Learning Outcomes of Vocational Students in A Smart Classroom." International Journal of Sociologies and Anthropologies Science Reviews 4, no. 6 (2024): 605–20. http://dx.doi.org/10.60027/ijsasr.2024.5143.

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Background and Aim: Smart Classrooms, as a form of rich-media learning environments, were increasingly being implemented and utilized. This study aimed to investigate the impact of Smart Classrooms on learning outcomes by examining 133 first-year vocational students from a vocational college in Yunnan Province, China. The research focused on an applied writing course and compared Cognitive, Behavioral, and Affective learning outcomes between the SEEWO Smart Classroom and traditional classrooms. Materials and Methods: In this study, 133 current vocational students participated. The participants

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Yadav, Reeshant. "Smart Classroom Automation." International Journal for Research in Applied Science and Engineering Technology 7, no. 5 (2019): 3002–6. http://dx.doi.org/10.22214/ijraset.2019.5496.

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Nasar, Ismail, Yuspar Uzer, Aisyah, Ridayani, and Muhammad Bambang Purwanto. "Artificial Intelligence in Smart Classrooms." Asian Journal of Applied Education (AJAE) 2, no. 4 (2023): 547–56. http://dx.doi.org/10.55927/ajae.v2i4.6038.

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This study identifies instances of technological advancement where AI was used in an intelligent classroom. A learner is more likely to learn concepts via a visual medium than from a literary one, such as smart classrooms and virtual reality programs. The inability to collaborate in education utilizing AI to create a smart classroom for increasing student learning and developing achievements was one of the new technologies' shortcomings. The idea behind that is to teach the learner through visual materials that are significantly easier for them to understand and retain than text-based lessons.

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Zhou, Jiaqi. "Enhancing English Writing Instruction in Junior Middle Schools: A Qualitative Study of the Production-Oriented Approach in Smart Classrooms." SHS Web of Conferences 199 (2024): 01008. http://dx.doi.org/10.1051/shsconf/202419901008.

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This study aims to explore the effectiveness of combining Production-oriented Approach (POA) with Smart Classroom in middle school English writing teaching. Smart classrooms use technology to create interactive and personalized learning environments, which has been proven to significantly improve students’ learning abilities. However, there has not been sufficient research on its application in middle school English classrooms. POA emphasizes language output and practical application, which has been proven effective in university environments, but has not been fully explored in secondary schoo

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Kim, Hye Jeong, and Hwan Young Jang. "Sustainable Technology Integration in Underserved Area Schools: The Impact of Perceived Student Change on Teacher Continuance Intention." Sustainability 12, no. 12 (2020): 4802. http://dx.doi.org/10.3390/su12124802.

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This study aims to examine the determining factors of teachers’ continuance intention to integrate technology in a smart classroom of schools in underserved areas. Smart classrooms provide a supportive learning environment for students by equipping them with advanced multi-functional and mobile technologies. A smart classroom can provide opportunities for teaching and learning by facilitating curriculum implementation and encouraging student success. The sustainable integration of technology in a smart classroom depends on the teacher’s ability to effectively utilize digital technology in the

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Muangpoo, T., and S. Pullteap. "Enhancing Energy Efficiency in Smart Classrooms through IoT and AI." International Journal of Emerging Technology and Advanced Engineering 13, no. 3 (2023): 74–80. http://dx.doi.org/10.46338/ijetae0323_07.

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Nowadays, smart classrooms are becoming more popular. this research work is introducing an innovative approach to reducing/improving energy consumption in smart classrooms at Silpakorn University, Thailand. By integrating the IoT and environmental sensors cooperated with AI-based person detections, the system can effectively monitor and arrange the classroom environment in real-time/continuously. The simulation results showed that the proposed system is capable of regulating temperature, humidity, motion, lighting levels, and accurately counting the number of individuals in the classroom. The

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Long, Tao. "Smart Classroom in the Era of Education Informatization 2.0." International Journal of Education and Humanities 12, no. 2 (2024): 279–82. http://dx.doi.org/10.54097/sm67dx71.

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The advent of the era of education informatization 2.0 has brought challenges and opportunities to the educational technology work of colleges and universities. As an important part of education informatization, smart classroom has an important theoretical framework and technical support system. This paper analyzes the characteristics of the era of education informatization 2.0, discusses the concept and importance of smart classrooms, and compares them with traditional classrooms. At the same time, through innovative practices and case studies, the innovative achievements and effect evaluatio

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Lu, Haizhou. "Preliminary Inquiry on Elementary School Mathematics Wisdom Class Evaluation System." Science Insights Education Frontiers 8, S1 (2021): 3. http://dx.doi.org/10.15354/sief.21.s1.ab014.

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Smart classrooms attach great importance to autonomy, investigation, thoughts, and diversity. Therefore, smart mathematics teaching is influenced by smart education claims that the teaching activities are carried out aided by information technology and advocates students solve problems through innovative cooperation learning. As a result, creating a student-oriented and teacher-directed teaching model highlights the student’s dominant position. The mathematics smart classroom evaluation in elementary school is an in-depth analysis of the pupil’s cognitive characteristics and wisdom class essen

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Guo, Binbin, Heung Kou, and Yanbing Zhou. "Design of a Smart Art Classroom System Based on Internet of Things." Computational Intelligence and Neuroscience 2022 (April 12, 2022): 1–11. http://dx.doi.org/10.1155/2022/9257827.

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With the rapid development of the Internet of Things and to improve the teaching efficiency of the art classroom, a smart art classroom system based on the Internet of Things is proposed, which can effectively assist in teaching. First, we give the general design of the smart art classroom, including the composition of the hardware and software, and the construction method of the application system. Based on existing technologies such as RFID, smart camera, smart voice, smart terminal, and smart screen interaction, an all-around smart art classroom is constructed. Further, we present the desig

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Hengyun Shen, Hengyun Shen, and Xiaochun Chen Hengyun Shen. "Virtual Reality-based Internet + Smart Classroom." 網際網路技術學刊 23, no. 2 (2022): 335–44. http://dx.doi.org/10.53106/160792642022032302013.

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<p>With the deep development of Internet +, it is necessary to actively explore the deep integration of Internet + and classroom teaching and build a smart classroom, especially in the courses that require thinking training. The urgency is mainly reflected in three aspects: First, the trend of the times; Second, the inevitable requirement of education reform; and third, the urgent need for practical teaching. This paper shows that VR-based experiments are effective through teaching experiments on fast sorting algorithms difficult for junior high school students to understand in informati

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Zhang, Kai. "Design and Implementation of Smart Classroom Based on Internet of Things and Cloud Computing." International Journal of Information Technologies and Systems Approach 14, no. 2 (2021): 38–51. http://dx.doi.org/10.4018/ijitsa.2021070103.

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With the development of emerging technology innovations such as the internet of things, classroom management has also shown an informatization trend. Among them, smart classrooms are an important part of the current university information environment construction. The purpose of this article is to build a smart classroom into an intelligent teaching environment with many functions such as intelligent perception and identification, real-time monitoring based on the internet of things technology and cloud computing technology. A questionnaire survey was conducted among freshman students in some

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Kaur, Avneet, Munish Bhatia, and Giovanni Stea. "A Survey of Smart Classroom Literature." Education Sciences 12, no. 2 (2022): 86. http://dx.doi.org/10.3390/educsci12020086.

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Recently, there has been a substantial amount of research on smart classrooms, encompassing a number of areas, including Information and Communication Technology, Machine Learning, Sensor Networks, Cloud Computing, and Hardware. Smart classroom research has been quickly implemented to enhance education systems, resulting in higher engagement and empowerment of students, educators, and administrators. Despite decades of using emerging technology to improve teaching practices, critics often point out that methods miss adequate theoretical and technical foundations. As a result, there have been a

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Nurafiati, Suastika, Herman Herman, Tri Angriawan, and Suparman Suparman. "PERSEPSI MAHASISWA TENTANG PENGGUNAAN SMART CLASSROOM DALAM PEMBELAJARAN ATLETIK." Indonesia Sport Journal 7, no. 1 (2024): 42–48. https://doi.org/10.24114/isj.v7i1.61318.

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The use of technology in learning in this era is very important. The existence of technology-based learning facilities and tools such as smart classrooms make learning more effective. Athletics courses which are synonymous with practical learning and carried out in the field can be integrated with platform learning on smart class features. The purpose of this research is to determine student perceptions regarding the use of smart classrooms in learning athletics courses. This research was conducted using qualitative descriptive research methods. The research technique was carried out by collec

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Zheng, Xinning. "College English Smart Classroom Learning Model Utilizing Data Mining Technology." International Journal of Web-Based Learning and Teaching Technologies 19, no. 1 (2024): 1–17. http://dx.doi.org/10.4018/ijwltt.349220.

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The integration of Internet technology and the collaborative development of smart classrooms is an essential step for colleges and universities to advance English instruction reform. This study utilized data mining (DM) technology to analyze the learning process in college English smart classrooms. The results indicate that the DM algorithm used in this study outperforms the other two algorithms across all metrics. After conducting 15 experiments, the centrality of the DM algorithm in this study reached 0.58, exceeding the ant colony algorithm's centrality of 0.42. The decision tree algorithm

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Dong, Chuan-Lei. "Exploration on the Construction of Wisdom Classroom for Biological Science Majors." Education Reform and Development 7, no. 4 (2025): 107–12. https://doi.org/10.26689/erd.v7i4.10266.

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With the advancement of education information technology, smart classrooms, as a new teaching mode, have been paid more and more attention in college teaching. This paper focuses on the teaching characteristics of biological science majors and deeply discusses the building elements of a wisdom classroom in teaching this major. Through the discussion of teaching design, teaching resources, interactive teaching, and other aspects, the paper puts forward the specific strategies of the construction of a smart classroom. Combined with practical cases, it verifies the remarkable effect of the smart

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Mir, Sabeer H., and Adel A. Abdou. "Investigation of Sound-Absorbing Material Configuration of a Smart Classroom Utilizing Computer Modeling." Building Acoustics 12, no. 3 (2005): 175–88. http://dx.doi.org/10.1260/135101005774353032.

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Advancements in information and instruction technology have led to the evolution of a new type of classroom referred to as “smart classrooms”. These have enhanced audio-visual equipment, computers and seating layouts designed to facilitate interactive learning. Placement of different sound-absorbing finishes in an efficient manner improves the listening conditions within the classroom and reduces the amplification of internally generated noise such as that from computers and instructional equipment. This study investigates the best overall configuration of sound-absorbing material placement an

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Vikash, Singh. "IoT-Based Smart Classroom Automation System." Journal of Research and Innovation in Technology, Commerce and Management Vol. 2, Issue 5 (2025): 2544–53. https://doi.org/10.5281/zenodo.15401916.

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The implementation of Internet of Things (IoT) technology is transforming learning environments with the introduction of high-level automation, which raises efficiency and optimizes resources. This paper demonstrates the design and assessment of an end-to-end IoT-based Smart Classroom Automation System, prototyped and designed with the Arduino Uno microcontroller as its processing unit. The system employs a mesh of intelligent sensors, mostly PIR sensors, to provide real-time detection of occupancy, supporting dynamic resource management of classrooms. Relay modules are important interfaces, a

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Banu J, Faritha, Balakrishnan M, Praveen Raju P, and Naveen kumar M. "IoT Based Cloud Integrated Smart and Sustainable Classroom." International Journal of Recent Technology and Engineering (IJRTE) 9, no. 1 (2020): 780–83. http://dx.doi.org/10.35940/ijrte.f1160.059120.

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Now a day, every educational environment requires an evolution of classrooms from traditional model to a more active model of classrooms. The main objective of a classroom model is to spend more time on teaching and learning and less on organizing and monitoring the workflow of the classroom. This project proposes “IoT based Cloud Integrated Smart and sustainable Classroom”. Smart classroom is developed to monitor and regularize the activities like assignments, projects, tutorial submission and attendance monitoring of the Students or scholar at ease in real time by the faculty, mentor or advi

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Yi, Suping, Ruwei Yun, Ximin Duan, and Yefeng Lu. "Similar or Different? A Comparison of Traditional Classroom and Smart Classroom’s Teaching Behavior in China." Journal of Educational Technology Systems 49, no. 4 (2021): 461–86. http://dx.doi.org/10.1177/0047239521988999.

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In the “Internet+” era, to understand the difference between the traditional classroom and smart classroom, this study uses the current domestic and foreign classroom teaching behavior research methods as a starting point and analyzes the teaching behaviors in classrooms from six dimensions: resource sharing, teacher lecturing, teacher–student interaction, group cooperation, autonomous learning, and evaluation feedback. A data analysis method is used to conduct a complete statistical study on the teaching behaviors of the 40 lessons selected in the first smart classroom innovation teaching com

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Zhang, Mingbao, and Xiang Li. "Design of Smart Classroom System Based on Internet of Things Technology and Smart Classroom." Mobile Information Systems 2021 (July 8, 2021): 1–9. http://dx.doi.org/10.1155/2021/5438878.

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Smart classroom teaching is one of the new teaching methods. With the support of technology, teaching is carried out with the help of smart teaching tools to enhance teacher-student communication, enhance students’ learning autonomy, and provide new ideas for the realization of students’ deep learning. How to promote the overall intelligence of the teaching environment so that the teaching equipment can be used more efficiently and managed more effectively has become the main concern of schools. This article mainly studies the smart classroom system based on the Internet of Things technology a

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Kadepurkar, Prajas, Prim Dsouza, and Nivya Jomichan. "IoT Based Smart Classroom." International Journal of Applied Sciences and Smart Technologies 03, no. 01 (2021): 35–54. http://dx.doi.org/10.24071/ijasst.v3i1.2764.

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A classroom is a place where there is always room for development; therefore just as the development for a student results in the ease of living, similarly a smart classroom focuses on the structural development leading to effective time and energy utilization. This project offers three major upgradation in classroom; the first being able to book a classroom dynamically using Raspberry Pi and toggling lights and fans using NodeMCU and a mobile application which also helps notify a student about the subject of the lecture, the time and the venue related to the commencement of a period. The seco

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Patil, Bhushan K. "Energy Efficient Smart Classroom." International Journal for Research in Applied Science and Engineering Technology 6, no. 6 (2018): 85–89. http://dx.doi.org/10.22214/ijraset.2018.6017.

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Mohamed, Abdisalan Abdulkadir, Mohamed Mohamud Ahmed, Abdirahman Abdikarim Ali, and Abdullahi Aweis Afwah. "Smart Classroom Automation System." International Journal of Electrical and Electronics Engineering 11, no. 11 (2024): 131–38. https://doi.org/10.14445/23488379/ijeee-v11i11p114.

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Barad, Mr Sadashiv, and Prof Prasanta Kumar Acharya. "Access on Knowledge and Awareness of Smart Classroom Teaching among Secondary School Teachers: An Explanatory Study." International Journal of Scientific Research in Modern Science and Technology 2, no. 10 (2023): 09–16. http://dx.doi.org/10.59828/ijsrmst.v2i10.153.

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The present study is an analysis of knowledge and awareness of secondary school teachers on smart classroom teaching of Kandhamal and Nayagarh districts of Odisha. This study investigated 200 teachers from both of the districts taking 100 from each by purposive sampling technique. For conducting such study the investigator has used Mean, SD and t-test formulae for analysis the data with relation to location, gender and training on smart classroom teaching. The findings showed that smart classroom teaching in terms of gender and location did not differ, but that trained teachers in Orisha's Nay

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Yang, Wang, Wang Xijun, and Dong Jiahui. "Impact of smart classrooms in higher education on academic performance: a meta-analysis." Regional Journal of Information and Knowledge Management 8, no. 2 (2023): 135–48. http://dx.doi.org/10.70759/pz92gn78.

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Rationale of Study – With the development of information and communication technologies, colleges and universities worldwide have set up smart classrooms. This study aims to quantify the driving factors influencing student academic performance in a smart classroom environment.Methodology – A meta-analysis method is used to quantitatively analyse smart classrooms' impact on higher education students' academic performance, covering seven courses, such as foreign languages and computers, and 15 papers from four countries. The label encoding scheme is used to convert the categorical variables into

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Mao, Qiming, Xueqin Fang, Libing Jiang, and Liping Zhu. "Enhancement or Impediment? How University Teachers’ Use of Smart Classrooms Might Impact Interaction Quality." Sustainability 15, no. 22 (2023): 15826. http://dx.doi.org/10.3390/su152215826.

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Technology’s involvement in teaching and learning is identified as an opportunity to bolster sustainable development in education. However, how it influences teaching quality and classroom interaction is a hotly debated subject, and the variations in interactions, by different technologies, between students and teachers in Smart Classrooms, particularly the ways in which interactions are impacted, are rarely discussed in existing research. The present study examines the effects of various degrees of technology on the quality of interactions in university-based Smart Classrooms based on an anal

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Liu, Xue. "Impact of Peer Review on Learning Performance in a Smart Classroom Teaching Environment." International Journal of Emerging Technologies in Learning (iJET) 18, no. 22 (2023): 138–51. http://dx.doi.org/10.3991/ijet.v18i22.44699.

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With the rapid progress of educational technology, smart classrooms have gradually been widely applied, aiming to provide students with more efficient and innovative learning experiences. As a non-traditional assessment method, peer review has attracted widespread attention in this context, and its role in the learning process of students is increasingly prominent. However, there are still disputes and deficiencies regarding its specific applications and benefits in smart classroom environments. This study aimed to dig into the peer review standard and its score prediction in a smart classroom

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Cebrián, Gisela, Ramon Palau, and Jordi Mogas. "The Smart Classroom as a Means to the Development of ESD Methodologies." Sustainability 12, no. 7 (2020): 3010. http://dx.doi.org/10.3390/su12073010.

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Educational institutions are envisioned as principal agents for addressing the current sustainability challenge that society is facing. Education for Sustainable Development (ESD) is transformational and concerns learning content and outcomes, pedagogy and the learning environment in itself. ESD entails rethinking the learning environment (physical and virtual) in line with sustainable development, which implies classrooms’ transformation towards learner engagement, formative assessments and active methodologies. This paper responds to this need through exploring the relationship between Smart

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S. A., Arunmozhi, Harieeshpalani P. K., Muhilan S., and Parthiban B. "IoT based Smart Classroom System for Education Industry." International Journal of Applied Sciences & Development 4 (March 21, 2025): 57–64. https://doi.org/10.37394/232029.2025.4.7.

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Internet of Things (IoT) conceptualizes the idea of remotely connecting and monitoring real world objects through the Internet. When it comes to our class rooms, this concept can be aptly incorporated to make it smarter, safer and automated. Smart classroom is the main component of the contemporary education. Recognizing the importance of differentiated teaching modalities, integrating Information and Communication Technology has transformed traditional classrooms into intelligent learning spaces. With the emergence of current technology, it becomes comfortable for the students as well as teac

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Du, Hongna. "Application of Internet of Things Architecture in Intelligent Classroom Teaching Analysis in Colleges and Universities." Mobile Information Systems 2022 (June 28, 2022): 1–7. http://dx.doi.org/10.1155/2022/4831937.

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Smart classroom is based on information technology, and its operation, upgrading, and development need technical support. At present, most of the smart classroom teaching adopts traditional architecture, highlighting the characteristics of disciplines, insufficient data processing, and narrow application fields. Based on this, this paper studies and analyzes the application of Internet of things architecture in college smart classroom teaching analysis. Based on the simple analysis of the development of intelligent algorithms and smart classrooms of the Internet of things, this paper construct

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Li, Xaiomeng. "Construction of Teachers Performance Evaluation Index System for Data-Driven Smart Classrooms in Secondary Schools." SHS Web of Conferences 190 (2024): 03010. http://dx.doi.org/10.1051/shsconf/202419003010.

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Smart classroom is a new teaching paradigm for the digital transformation of education, which utilizes methods such as audio and video intelligent recognition, model construction, and data mining to evaluate teaching effectiveness and quality, in order to achieve automatic and full process evaluation and feedback of teacher teaching quality. This article is based on the massive real-time audio and video data generated by smart classrooms. By mining the hidden patterns and values of educational and teaching data, and using the Delphi method to construct a data-driven performance evaluation inde

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Samanta, Subhamita, and Trina Dwibedi. "Learning by Doing: SMART CLASSROOMS AND e-LEARNING." International Journal of English Learning & Teaching Skills 3, no. 3 (2021): 2384–90. http://dx.doi.org/10.15864/ijelts.3312.

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This paper is about the much growing technology “SMART CLASSROOMS and e-LEARNING”. The Smart Classroom project explores the challenges and potentials of the Intelligent Environment as a new human-computer interaction paradigm. The Smart Classroom could actively observe, listen and serve the teachers, and teachers can write on a wall-size media-board just by their hands, or use speeches and gestures to conduct the class discussion involving of the distant students. This paper discusses the advantages, disadvantages and main uses of the system.

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Al-Hunaiyyan, Ahmed, Salah Al-Sharhan, and Rana Alhajri. "A New Mobile Learning Model in the Context of the Smart Classrooms Environment: A Holistic Approach." International Journal of Interactive Mobile Technologies (iJIM) 11, no. 3 (2017): 39. http://dx.doi.org/10.3991/ijim.v11i3.6186.

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This paper introduces a comprehensive mobile learning (m-learning) model in the context of smart classrooms environment as a part of a holistic approach to implement an efficient Technology Enhanced Learning (TEL) Environment. In this new model, the mobile learning components, as a crucial part of the smart classroom, systematically integrate the “mobile tools” with the teaching-learning practices. However, there are many challenges to generalize such kind of learning to any educational system. A major reason for these challenges is the lack of an integrated model in a holistic approach of the

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Rozputnia, B. M., L. S. Shevchenko, and V. O. Umanetz. "CREATING A “SMART” COMPUTER SCIENCE CLASSROOM AT UNIVERSITY." Automation of technological and business processes 15, no. 2 (2023): 72–75. http://dx.doi.org/10.15673/atbp.v15i2.2528.

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Abstract. This work aims to highlight issues related to the creation of "smart" microelectronics-based computer science classes in higher education institutions. The "smart" computer science classroom created is a fully automated educational environment that operates in its three modes: "standard", "automatic", "automatic power saving". "Samrt" cabinet can be controlled by smartphones, PCs and remote controls. Cabinet is equipped with various sensors, indicators and electronic parts based on ArduinoUNO, MEGA and ESP8266-12E WiFi modules. Measurements of built-in "smart" office sensors and indi

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Liu, Xin, and Jin Wang. "The Impact of Scene Teaching in Smart Classrooms on Learners’ Learning Performance and Effectiveness." International Journal of Emerging Technologies in Learning (iJET) 18, no. 24 (2023): 121–32. http://dx.doi.org/10.3991/ijet.v18i24.45475.

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As a new teaching method, scene teaching in smart classrooms directly impacts the overall quality and efficiency of education. Two groups of first-year students were selected as the research subjects for a study on intelligent learning performance and outcomes in a smart classroom teaching scenario. The results indicate that the intelligent teaching mode can lead to better outcomes in learners’ intelligent learning. It can improve learners’ participation in intelligent learning and enhance their performance. Additionally, it highlights the significance and differences in learners’ intelligent

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Chen, Jingyuan, and Hongfeng Liu. "Effects of Smart Classroom on Students' Learning Outcomes." International Journal of Web-Based Learning and Teaching Technologies 19, no. 1 (2024): 1–16. http://dx.doi.org/10.4018/ijwltt.356509.

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This meta-analysis examines the influence of smart classrooms on students' learning outcome, synthesizing findings from 21 empirical studies. The results indicate a significant overall effect size (SMD = 1.10), suggesting that smart classrooms positively affect learning outcomes more than traditional settings. Cognitive development (SMD = 1.014) and behavioral development (SMD = 2.155) saw the most substantial impacts, while the effect on emotional development was minimal (SMD = -0.001). Moderator analyses revealed that primary school students benefited most, and STEM subjects showed greater i

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Liu, Xian. "Physical Educatity on Curriculum and Physical Education Model Based on Smart Classroom and Mobile Computing." Wireless Communications and Mobile Computing 2022 (March 15, 2022): 1–9. http://dx.doi.org/10.1155/2022/7781177.

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Physical education is an essential part of a child’s education. With the extensive reform of education in recent years, the old physical education teaching mode now faces a situation of low teaching efficiency, low student learning efficiency, low student interest, and lack of classroom participation, which is incompatible with the spirit of modern education and the needs of social development. Smart classrooms are emerging to meet the demands of the new curriculum reform. Smart classroom teaching is a good teaching concept: physical education teaching should reflect experience, generation, in

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K., Bhaskar Babu. "Open Smart Virtual Class Room: Extensible and Scalable Learning System in Smart Space." International Journal of Research and Applications 9, no. 34 (2022): 2401–4. https://doi.org/10.5281/zenodo.15242978.

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ABSTRACT  E-LEARNING, as a significant modern education and learning approach and tool, is defined as learning activities performed over electronic devices. Virtual universities are becoming strongly networked, and fundamental changes in the organization of education are occurring. we are going to give the real time interactive virtual classroom with tele education experience, which is an important approach in distance learning. However, most current systems fail to meet new challenges in extensibility and scalability, which mainly lie with three issues. First, the open system architectur

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Kramer, Amy, Rachel Louis Kajfez, and Emily Dringenberg. "Ways of Being Smart in Engineering: Beliefs, Values, and Introductory Engineering Experiences." International Journal of Engineering Pedagogy (iJEP) 14, no. 1 (2024): 129–48. http://dx.doi.org/10.3991/ijep.v14i1.41633.

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Common discourse conveys that to be an engineer, one must be “smart.” Our individual and collective beliefs about what constitutes smart behavior are shaped by our participation in the complex cultural practice of smartness. From the literature, we know that the criteria for being considered “smart” in our educational systems are biased. The emphasis on selecting and retaining only those who are deemed “smart enough” to be engineers perpetuates inequity in undergraduate engineering education. Less is known about what undergraduate students explicitly believe are the different ways of being sma

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