• Susheela N
• Darshan H D
• Deepak J S
• Nishanth K G
• Chandan s

Student engagement has been a key topic inside the educational training. The three specific styles of engagement of the students in a class are: behavioral, emotional, and cognitive. The time period behavioral engagement is commonly used to describe the scholar’s willingness to participate within the getting to know system. Emotional engagement describes a scholar’s emotional attitude toward learning. Cognitive engagement is a chief part of overall learning engagement. From the facial expressions the involvement of the students in the magnificence can be decided. Commonly in a lecture room it's far difficult to recognize whether the students are able to understand the lecture or no longer or even whether there is any kind of stress. So that you can know that comments form will be collected manually from the students. However those feedbacks given by using the students will now not be correct. Hence they will no longer get proper comments. This hassle can be solved by means of the use of a facial emotion evaluation. From the facial expression the emotion of the students may be analyzed. Quantitative observations are achieved in the lecture room wherein the emotion of students might be recorded and statistically analyzed. With the aid of the use of facial emotion we will directly get correct information approximately college students understand potential, and determining if the lecture become exciting, boring, or mild for the students. And the apprehend capability of the scholar is recognized by the facial emotions. Also using Face data We can Update the attendance to make the attendance process automatic.

Student Behavior Analysis Using ML

"Student Behavior Analysis Using ML", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.35-42, May-2024, Available :http://www.jetir.org/papers/JETIRGG06007.pdf

"Student Behavior Analysis Using ML", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. pp35-42, May-2024, Available at : http://www.jetir.org/papers/JETIRGG06007.pdf