Analyzing and Improving Student Learning Behaviour in the Classroom Using Machine Learning Techniques
摘要
Based on an evaluation of each student’s emotional and physical conditions during class, this chapter provides a comprehensive look at each student. Based on the student’s stance, eyelid position, posture, and emotional expression, the model analyses the live recordings of the students and gives the teacher a confidence score. The aim is to establish a correlation between the elements that is chosen to create this model to bring classroom learning closer to the students. Improved personal learning analysisLearning analysis and the use of cutting-edge technology instructional tactics fortify the teaching and learning process.