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Siadat S, Tajfar A H. A New Framework Based on The Internet of Things to Improve the Quality of Education by Detection of Student Stress. itrc 2023; 15 (3) :43-52
URL: http://journal.itrc.ac.ir/article-1-549-en.html
URL: http://journal.itrc.ac.ir/article-1-549-en.html
1- Department Engineering Payame Noor University (PNU) Tehran, Iran
2- Faculty Member Department Engineering Payame Noor University (PNU) Tehran, Iran amir.tajfar@pnu.ac.ir ,am.tajfar@itrc.ac.ir
2- Faculty Member Department Engineering Payame Noor University (PNU) Tehran, Iran amir.tajfar@pnu.ac.ir ,
Abstract: (1555 Views)
The Internet of Things (IoT) is one of the new technologies that has received significant attention in the last decade and has been used in all aspects of life (including agriculture, medicine, business, industry, education, etc.).
One of the most important applications of the Internet of Things is in the process of student education, which has been discussed a lot in recent years and has led to a significant progress in the education industry, however, there are still many challenges in this field, which includes managing classrooms, conference halls, teaching in offices, public schools, and e-learning websites. Therefore, it is necessary to create a new framework to improve teaching methods. On the other hand, providing educational materials for students according to their level of understanding and learning goals can have a significant effect on improving the quality of teaching and learning.
In this research, a framework for improving the quality of teaching to students in the context of the Internet of Things has been presented. In this framework, the mental and psychological condition and stress conditions of the students are investigated and provided to the teacher in real-time, so that they can make the right decision with sufficient information based on the conditions of each student in the classroom and use the information to adapt their teaching methods and tests. This framework, with the help of the Internet of Things, provides information about each student and mental and psychological elements (such as heart rate, body temperature, etc.) as well as factors affecting the classroom environment (including the amount of noise pollution, ambient temperature, light, etc.), collects and uses fuzzy logic to place students in different categories with and without stress conditions. Kuja simulator and MATLAB software are used for simulation. The results of the simulation show that this framework can detect the students' stress and by adapting the test and teaching conditions to the mental and psychological state of the students, it can indirectly improve the educational quality for students.
One of the most important applications of the Internet of Things is in the process of student education, which has been discussed a lot in recent years and has led to a significant progress in the education industry, however, there are still many challenges in this field, which includes managing classrooms, conference halls, teaching in offices, public schools, and e-learning websites. Therefore, it is necessary to create a new framework to improve teaching methods. On the other hand, providing educational materials for students according to their level of understanding and learning goals can have a significant effect on improving the quality of teaching and learning.
In this research, a framework for improving the quality of teaching to students in the context of the Internet of Things has been presented. In this framework, the mental and psychological condition and stress conditions of the students are investigated and provided to the teacher in real-time, so that they can make the right decision with sufficient information based on the conditions of each student in the classroom and use the information to adapt their teaching methods and tests. This framework, with the help of the Internet of Things, provides information about each student and mental and psychological elements (such as heart rate, body temperature, etc.) as well as factors affecting the classroom environment (including the amount of noise pollution, ambient temperature, light, etc.), collects and uses fuzzy logic to place students in different categories with and without stress conditions. Kuja simulator and MATLAB software are used for simulation. The results of the simulation show that this framework can detect the students' stress and by adapting the test and teaching conditions to the mental and psychological state of the students, it can indirectly improve the educational quality for students.
Keywords: Internet of Things (IoT), e-learning, Stress, psychological elements, environmental influencing factors.rs
Type of Study: Research |
Subject:
Information Technology
References
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