Research Article
Dec 30, 2023
262
134
A Comprehensive Evaluation Scheme of Students' Classroom Learning Status Based on Analytic Hierarchy Process
Educational Innovations and Emerging Technologies, 3(4), 2023, 1-10, https://doi.org/10.35745/eiet2023v03.04.0001
Publication date: Dec 30, 2023
ABSTRACT
The state of students' classroom learning refers to whether students are concentrating and listening in the class, whether they are interested in the content of the lecture, and whether they understand and master the content of the teacher’s psychological state. The research on the state of students’ classroom learning is of great significance in teaching activities. Usually, measuring students’ classroom learning status is a subjective evaluation, and it is difficult to have a quantitative description. With the development of artificial intelligence (AI)technology, a large number of modern information technologies have been applied in education and teaching. People use video images, eye tracking technology, orfacial expression recognition technology in deep learning to describe students' attention and interest in classroom learning. However, with the complexity of students' learning process, no single information technology can accurately describe students' learning status and learning performance. Therefore, when evaluating students' learning status, it is necessary to consider the students' learning status, learning process, and learning performance. To this end, we used the Analytic Hierarchy Process (AHP)to establish a mathematical model in the four dimensions of interest, pleasure, concentration, and classroom performance and homomorphically adjusted the corresponding weights of the four dimensions in evaluating students' learning status. The proposed evaluation scheme of students' classroom learning status evaluated students' classroom learning status in real-time, providing modern information technology support for improving classroom learning efficiency and the quality of education and teaching.
KEYWORDS
CITATION (APA)
Sun, Y. (2023). A Comprehensive Evaluation Scheme of Students' Classroom Learning Status Based on Analytic Hierarchy Process. Educational Innovations and Emerging Technologies, 3(4), 1-10. https://doi.org/10.35745/eiet2023v03.04.0001
Harvard
Sun, Y. (2023). A Comprehensive Evaluation Scheme of Students' Classroom Learning Status Based on Analytic Hierarchy Process. Educational Innovations and Emerging Technologies, 3(4), pp. 1-10. https://doi.org/10.35745/eiet2023v03.04.0001
Vancouver
Sun Y. A Comprehensive Evaluation Scheme of Students' Classroom Learning Status Based on Analytic Hierarchy Process. Educational Innovations and Emerging Technologies. 2023;3(4):1-10. https://doi.org/10.35745/eiet2023v03.04.0001
AMA
Sun Y. A Comprehensive Evaluation Scheme of Students' Classroom Learning Status Based on Analytic Hierarchy Process. Educational Innovations and Emerging Technologies. 2023;3(4), 1-10. https://doi.org/10.35745/eiet2023v03.04.0001
Chicago
Sun, Yuyang. "A Comprehensive Evaluation Scheme of Students' Classroom Learning Status Based on Analytic Hierarchy Process". Educational Innovations and Emerging Technologies 2023 3 no. 4 (2023): 1-10. https://doi.org/10.35745/eiet2023v03.04.0001
MLA
Sun, Yuyang "A Comprehensive Evaluation Scheme of Students' Classroom Learning Status Based on Analytic Hierarchy Process". Educational Innovations and Emerging Technologies, vol. 3, no. 4, 2023, pp. 1-10. https://doi.org/10.35745/eiet2023v03.04.0001
REFERENCES
- Jia, P., Zhang, C., Zhao, X., &Yan, X. (2019). Analysis of Classroom Student Status Based on AI Video Processing. Modern Educational Technology, 29(12), 82–88.
- Liu, Q., Wang, Y., Lei, S., & Zhang, S. (2017). Research and Reflection on the Application of Learning Analysis from the Perspective of Education Big Data.Journal of Distance Education, 35(03), 71–77.
- Ren J. (2020). Research on Comprehensive Evaluation of Student Concentration Based on Machine Vision. Master's Thesis, North China University of Technology, Chian, July 2020.
- Sun, Y. & Li, Q. (2018). The application of deep learning in mathematical education. In Proceedinds of the 2018 1st IEEE International Conference on Knowledge Innovation and Invention (ICKII), Jeju Island, South Korea, 23–27 July, 2018; pp. 130–133.
- Sun, Y., Li, Q., Zhang, H., & Zou, J. (2018b). The application of eye tracking in education. In Proceedinds of theAdvances in Intelligent Information Hiding and Multimedia Signal Processing—Proceedings of the 13th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, Smart Innovation, Systems and Technologies, Matsue, Shimane, Japan, 12–15August, 2017; pp.27–33.
- Sun, Y. (2023). A method for detecting student classroom learning fatigue based on optical and infrared images, Proceedings of the 2023 IEEE 6th International Conference on Knowledge Innovation and Inventiob, ICKII 2023, Sapporo, Hokkaido, Japan, 11–14 August, 2023; 474–478,
- Hwang, S,H., Chang Y.F. (2018), The Adaptive Indicators and Weighting System for the reuse of industrial heritage, Journal of the Science of Design, 2(2), 111–120.
- Wang, L. (2019). Cost control of high-rise residential construction and installation based on standard cost method. Master's Thesis, Nanchang Universiy, China, July, 2019.
- Wang, Y., Liu, Q. & Zhang, W. (2019). Research on data-driven online learning state analysis model and its application. Journal of Distance Education, 37(2),74–80.
- Yang, J.M., & Lee, S.G. (2018). A mathematical theory of the AHP (Analytic Hierarchy Process) and its application to assess research proposals. Communications of Mathematical Education, 22(4), 459–469.
LICENSE
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.