Abstract
Determining the rate of student attendance is an important task in determining the completion of the courses. Despite the success of the technology, it is unfortunate that in many academic institutions, the current systems used to detect student absences. Furthermore, one of the crucial problems in the attendance system does not count student background for continuing in the courses. In this study, we propose an intelligent approach for calculating student attendance based on their Grade Point Average (GPA) and their activities, this approach uses Artificial Neural Network (ANN) for proposing an intelligent attendance system to calculate the attendance rating accurately, meaning the system provide a new rating for each student based on their background. The aim of this research is developing an attendance system for motivation students taking attendance or taking high grade in the class. The result of this approach helps the instructor to allow students who have more activities with more absents to continue in the courses, if not the students have low activity should taking high attendance. This system will more efficient for monitoring students in the classes and replacing absent to activity.
Highlights
IntroductionMany of the leading science institutes are trying to gather complete information about the daily behavior of students at the university, internal and external research center assessment, daily activates
Education and science in countries are the keys to the success of nations
First step: Classic Attendance System allows students absent in class by rating 15%, if the student’s absence more than 15% will fail in the course
Summary
Many of the leading science institutes are trying to gather complete information about the daily behavior of students at the university, internal and external research center assessment, daily activates. In many Thai universities developed an advanced system for students who want to master a subject, in this case they can achieve a good grade in the end. In other words, they are trying to figure out what kind of topic is appropriate for the student. The Neural Network (NN) technique is a great way to help students to complete their assignments with excellent grades. The NN does the work for them (Jusoff et al, 2009)
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