text: Also, although technology is very much improved in these years, it is still not always accurate and infallible, and therefore may not be suitable for a classroom. The article states that the technology associates each emotion with "characteristic movements of the facial muscles" and then uses those movements to calculate the spectrum of emotions based on their facial display. But some people show emotions in various ways, and the technology most likely cannot accomodate for the many different ways people express the same emotion. For example, if a student has a resting face that seems generally happy, the system might confuse this dazed face as a satisfied face and think that the student is happy with their lessons when they are actually confused or not paying attention. In the same way, if a student has a resting face that looks naturally sad, the system may think they are unhappy with their lessons, even if the student feels they are learning a lot. A lot of students also try to hide their emotions, like frusteration or sadness, with a happier look on their face, and even though the article states that the system can detect a "false smile", it cannot always be accurate as a person may be good at hiding their emotions and displaying a genuine smile. Therefore, since technology is not always accurate and because human beings are so various in the way they behave, the technology would not be useful in a classroom where it may misread a student's state of mind and lead them in the wrong path of education.