Student’s Attention Monitoring System in Learning Environments based on Artificial Intelligence

Aim

          To monitor the student’s attention on their school activities and to make the remote learning methods more effective.

Abstract

            In this project, we propose an, attention monitoring of students in an educational environment is carried out in the following way: e-learning method by using smart phone based on remote monitoring tool. This method will make the student’s knowledge effective as well as reduce the burden of office going parents and the staff.  As the staff can only schedule the activities but they cannot fully focus on the students as the classes are online-based nowadays. To make the students concentrate more on their activities and to complete it with the given time, this system was proposed. To analyze the degree of attention of the students of each instance, it needs to be trained using several algorithms. By using those algorithms, we can monitor the activities of the students and provides results to their parents based on the degree of attention of each and every student.

Existing System

         In the existing system, it is difficult to monitor the students during their online exams/daily tests and online classes by their parents, teacher(s) or tutor(s). This may cause a pandemic situation for each and every parent or tutor to know about their children and to grab their attention towards studies. During online classes, the staff may teach the subjects and give some activities through the online class based on the students’ grade. Some students may complete but some may not. The study was carried out in virtual education environments, but given its design, it can be easily extended to face-to-face education systems The parents who are working from home may busy with their office activities and may not concentrate on their children. In the existing system, we are not having any methods or ideas to make students to complete these activities within the given time with maximum attention.  And each of the video frames in an analysis window of one second (30 frames), the face of the student is detected.

Problem Definition

• Many tasks are assigned to the children who are attending their online classes but there is no idea about their completion of their activities given by their staffs.
• As most of the parents are busy with their home and office activities they may not monitor their children who are attending the online classes or preparing for their exams.
• Face recognition using CV Algorithm.

Proposed System

          In this system, we propose a remote learning system and make it more efficient and more useful for parents, students and staffs. The staff will register their details. The Admin have to give permission for the registered staff to proceed with their login process. If the admin reject a staff, then that staff will not be accessible with their further process. The authorized staff will proceed their process after logging in. They will add the students along with their personal details who are under his/her class. Then the staff will upload tasks or activities under courses with any number of selected students who need to attend those activities. The students will register with their android mobile phone. Once the course gets started, mail will be sent through their parent’s email. After getting mail, students will login using their registered email and the password which gets generated while staffs adding students and it will be sent through the parent’s email and the student will start the activity. After completing every activity, the image-based evidence and the video of student while doing activity (attention video) will be saved. The staffs can view the created courses and activities. The students who are added in the activity will get displayed inside that activity. For every activity, the staff can view the performance of the student i.e., the image-based evidence after their activity completion. The attention will get calculated using the attention video in python. and attention monitor in eye ball tracking . After viewing the evidence and the percentage of attention, the staff will enter the mark based on their evidence and attention. Finally, the result will be sent to the parents.

Advantages

• This system makes the remote learning methods more effective and helpful for staffs, students and parents.
• In this method, the students will perform in their exams, activities and in their online classes with more attention than before.