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Using Machine Learning to Improve Learning Systems by Classifying Student Attention

Dr Vidyadevi G. Biradar

Abstract


Different researchers have used different methods to classify a student's focus in previous studies. There are many ways that rely on Qualitative Estimation, but there are also many that don't use Quantitative Estimation. To do this, the work is to make sure that the student is paying attention to what is going on at all times. ML algorithms like K-means and SVM are used in this study. The findings of the research can be used by all teachers at any level to improve their teaching and make them use the method to plan their teaching systems. The paper talks about ML algorithms that teachers can use to get feedback on how well they teach. Thus, the students will be able to improve their learning method. This, in the end, will help students do better in their classes.


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References


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