An Enhanced Student Action Predicting in automation Environments for Procedural Training

Abstract

This paper focused on improving student performance prediction, based on their personal and academic performance characteristics. Due to the incredible growth in recent technology like social media, it may deter the students from their actual track, and this is one of the reasons for the students to perform poor in academic activities and it even leads to course drop outs. Predicting students’ performance will alert the learner to know about their performance and it gives as a chance to improve their performance in future. The research purposes include data about students’ performance from the academic and other class room activities in the college during the course time. , Educational Heat map algorithms are used to predict the student performance which is a module in automated intelligent education systems.