Intelligent Educational Support System

Increasing student numbers lead to new needs in the education sector. New systems are needed due to expert numbers that are insufficient in specialties, such as instructors, directors, and advisors. Type, goal, and specialty of intelligent systems programmed to satisfy this need are being developed with each passing day. The aim of this chapter is to develop an intelligent system that provides support with schedule, academic orientation, choice of profession, and career planning to students. To make a regular schedule for students would generally cause an inappropriate program, which is hardly followed by students in case they were indiscriminately prepared without any information about students' characteristics. Instead of this method, it is the point to be familiar with the academic success, study, resting, and even meal time of the student, and to know which lessons are studied on which days and to make an appropriate schedule for studying. According to the teachers, it is time-consuming and difficult to perform this method for all students. Within this scope, an intelligent system preparing a study schedule is developed considering the students' characteristics and study habits.

Intelligent Educational Support System

Increasing student numbers lead to new needs in the education sector. New systems are needed due to expert numbers that are insufficient in specialties, such as instructors, directors, and advisors. Type, goal, and specialty of intelligent systems programmed to satisfy this need are being developed with each passing day. The aim of this chapter is to develop an intelligent system that provides support with schedule, academic orientation, choice of profession, and career planning to students. To make a regular schedule for students would generally cause an inappropriate program, which is hardly followed by students in case they were indiscriminately prepared without any information about students' characteristics. Instead of this method, it is the point to be familiar with the academic success, study, resting, and even meal time of the student, and to know which lessons are studied on which days and to make an appropriate schedule for studying. According to the teachers, it is time-consuming and difficult to perform this method for all students. Within this scope, an intelligent system preparing a study schedule is developed considering the students' characteristics and study habits.