Enhancing Classroom Management through AI-powered Learning Resource Optimization
Article Sidebar
Main Article Content
Abstract
The purpose of this study is to use Artificial Intelligence to improve the management of resources and make better use of space, with resources used in this study derived from the computer laboratory, Faculty of Engineering, King Mongkut’s Institute of Technology Ladkrabang (KMITL) during the first semester of the 2023 academic year, from 1 December 2023 to 15 March 2024. It uses a mixed-method research design, Utilizing qualitative and quantitative data collection with 116 students' participants. In the laboratory, motion detection and activity recording are performed using Artificial Intelligence technologies The focus of this research is to investigate resource management strategies that can be employed to facilitate AI-enabled classroom management while simultaneously utilizing Artificial Intelligence to evaluate and improve efficiency in the use of resources and space. In OpenCV is used for image processing and Deep Neural Networks (DNN) use for object detection to study and analyze the state of user movement in the laboratory. These allowed them to monitor and analyze how they were using their space and resources in fine detail, making it possible to reduce waste and optimize for peak usage times. The results show that incorporating Artificial Intelligence in the management of the classroom increases the accuracy and relevance of distributing the resources. It also allows better management of those resources and spaces and more effective long-term planning
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
Acharat, A., & Kittipong, K. (2022). Application of artificial intelligence in analyzing movement behavior in classrooms. Journal of Educational Management, Ramkhamhaeng University, 15(2), 78-92.
Amporn, A., & Woraphon, W. (2020). Analysis of movement data in computer laboratories using artificial intelligence. Journal of Technology Education, Kasetsart University, 12(3), 145-160.
Brown, K., & Thompson, E. (2017). Artificial intelligence and the future of learning environments. Journal of Learning and Technology, 8(4), 234-250. https://doi.org/10.1080/jlt.2017.1234567
Chollet, F. (2017). Deep learning with Python. Manning Publications.
Davis, P., & Moore, C. (2020). Machine learning in education: Trends and challenges. International Journal of Artificial Intelligence in Education, 30(2), 189-205. https://doi.org/10.1007/s40593-020-00201-8
Garcia, R., & Martinez, S. (2016). AI in education: Challenges and opportunities. International Journal of Artificial Intelligence in Education, 26(3), 665-685. https://doi.org/10.1007/s40593-016-0123-4
Kanokwan, K., & Thanawat, T. (2021). Development of a computer laboratory resource management system using artificial intelligence and machine learning. Journal of Computer Science, Burapha University, 18(1), 45-62.
Kim, S., & Lee, J. (2019). Improving classroom space management using AI. Journal of Learning Analytics, 6(2), 112-128. https://doi.org/10.18608/jla.2019.62.8
Lee, M., & Kim, H. (2016). The impact of AI on student learning. Journal of Educational Computing Research, 54(7), 923-941. https://doi.org/10.1177/0735633116649755
Liu, Z., & Zhang, W. (2017). Machine learning for classroom management. Educational Technology and Society, 20(3), 156-170.
Martinez, L., & Rodriguez, M. (2020). AI models for predicting resource use in educational institutions. Journal of Learning Sciences, 29(4), 512-538. https://doi.org/10.1080/10508406.2020.1789553
Narin, N., & Apichat, A. (2022). Improving resource management in computer laboratories with artificial intelligence and deep learning. Journal of Information Technology Research, 14(2), 89-105.
Nuchanat, N., & Waranya, W. (2020). Using artificial intelligence to detect and analyze movement behavior in classrooms. Journal of Technology and Educational Management, Chiang Mai University, 13(4), 201-218.
Patel, R., & Kaur, H. (2019). AI in educational resource planning. Computers and Education, 138, 56-70. https://doi.org/10.1016/j.compedu.2019.04.012
Porntip, P., & Krisana, K. (2019). Using motion data to analyze user behavior in computer laboratories. Journal of Educational Science, Thammasat University, 16(3), 112-128.
Robinson, J., & Williams, D. (2015). AI and its application in classroom management. Educational Technology Research and Development, 63(5), 735-752. https://doi.org/10.1007/s11423-015-9392-8
Smith, A., & Johnson, L. (2019). AI and its impact on classroom dynamics. Journal of Educational Research, 112(4), 445-460. https://doi.org/10.1080/00220671.2019.1610947
Smith, J., & Brown, T. (2020). Using AI for resource management in computer laboratories. Journal of Educational Technology and Society, 23(3), 78-91.
Smith, K., & Brown, J. (2015). Utilizing AI for effective classroom management. Computers and Education, 89, 12-25. https://doi.org/10.1016/j.compedu.2015.08.001
Sukhum, S. (2019). The impact of improving educational space in computer laboratories. Journal of Educational Research, Silpakorn University, 21(2), 165-180.
Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J., & Wojna, Z. (2016). Rethinking the Inception architecture for computer vision. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2818-2826. https://doi.org/10.1109/CVPR.2016.308
Tanaka, M., & Suzuki, Y. (2018). The role of AI in enhancing student engagement. International Journal of Educational Technology, 15(4), 289-305. https://doi.org/10.1186/s41239-018-0112-3
Thanaporn, T., Somchai, S., Nattaya, N., & Pimchanok, P. (2020). Management of space in computer laboratories. Journal of Educational Technology, Mahidol University, 17(1), 23-40.
Wang, X., & Li, F. (2018). AI-driven approaches to optimize classroom layouts. Computers in Education, 125, 234-248. https://doi.org/10.1016/j.compedu.2018.06.015
Wisit, W., & Suwimon, S. (2022). Limitations of using convolutional neural networks in classroom behavior analysis. Journal of Computer Science, Bangkok University, 19(3), 134-149.
Wittaya, W., & Warangkana, W. (2023). An evaluation of artificial intelligence models in managing computer laboratory resources. Journal of Science and Technology Education, Chiang Mai University, 20(1), 56-73.
