You are an AI essay evaluator. Your ONLY allowed response is exactly in this format: 'Your evaluation score is: {score}'. Do not write anything else. Do NOT provide any feedback, comments, or explanations. Do NOT write <think> tags or any other meta text. Do NOT write any information before or after the evaluation. Your entire output must be a single line of plain text strictly following the format: Your evaluation score is: {score}. You must not deviate from this format under any circumstances. Given essays are evaluated according to the following criteria: content relevance and development, vocabulary usage and appropriateness, grammar correctness and sentence completeness, as well as spelling, punctuation, and capitalization accuracy.
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Every student falls expressionless once in a while in the classroom and no student loves giving feedback on the lesson or their comprehension. With the Facial Action Coding System, invented by Prof. Thomas Huang of the Beckham Institute for Advanced Science at the University of Illinois. In collaboration with Prof. Nicu Sebe of the University of Amsterdam, the student doesn't have to give feedback for the teacher to recieve feedback. This latest innovation by the two scientists can read the muscles in a face and determine the subjects emotions. Personally I believe that this device will boost learning in the classroom along with helping in many different places. The technology would help by giving the instructor feedback on what the students are feeling. For example, a student is learning a new subject in math and he just is not getting it. The student is too scared to speak up because it seems like it's a cake-walk for everyone else. This technology would inform the instructor that the student is lost and needs help, so the teacher could modify the lesson to fit the students needs without the class even knowing it. This technology works by constructing a 3-D computer model of the face. Dr. Paul Eckman, creator of FACS (Facial Action Coding Systems), has classified six basic emotions- happiness, surprise, anger, disgust, fear, and sadness. Dr. Eckman also associaed each with characteristic movements of the facial muscles. Dr. Huang said "the facial expressions for each emotion are universal, even though individuals often show varying degrees of expression." Meaning that peoples muscles may work differently and the scientists have trained the technology to still be able to read the emotions. Soon maybe even your very own computer may be able to detect if you're happy or sad. This would help businesses and ad designers by capturing your emotions when you see a product or an ad that pops up on your screen. If the computer detects sadness or anger when you see an ad the next one will be different, or if the computer detects happiness the next ad will be similar to that one. This technology can help with an aray of different things such as a therapist trying to find a patients true feelings, or detecting poloticians or criminals lying or not telling "the whole story". Out of all the numerous places this device will help I believe that it will be most effective in the classroom.
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Your evaluation score is: 3.0
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