Current education in schools are based on standardlized education with all student having simmilar classes, even if student are confused or bored with class. Which could cause more possibility to fall credits. Because of these problems, the recognizing emotional expressions of student by computer are valuable to prevent left behind than other students.

The emotion recognition technology could bring more computer based education with more personalized class even if one of the student are confused or bored. According to Professor Thomas Huang, from Beckman Institite for Advanced Science at the University of Illinois, this technology brings ability to "Classroom computer could recognize when student is becoming confused or bored" and "Modify the lesson, like an effective human instuructor". Computer emotion recognition techology could bring more ability to make class attractive and prevent student from falling their grades and credits or even giving advanced education for each person.

Also, faking emotion recognition technology is difficult. According to "Making Mona Lisa Smile" by Nick D'Alto, if someone is trying to fake smile, "mouth is stretched sideways using the zygomatic major and a different muscle, the risorius" which makes sytem to recognize false smile. From this technology, with educatuional purpose such as recognizing emotional expressions to prevent left behind student, this will give another creditbility to system even if student tried to deny their actual feelings, such as confuse.

The emotion recognizing software would be valuable to prevent many student from falling grades. The facial recognization have some of problems such as teachers could be easily unempolyed, or privacy problem. However, it could bring more hope to make education personally and flexible to extend each of their ability.