Publication Date: 2022/01/26
Abstract: Our aim in this project, will be to identify Key Performance Indexes that can define a student's level of comprehension after studying certain classes and how we can apply those Key Performance Indexes in classification or even use them to calculate the success rate of skills, in universities or even place specific students in areas where they can succeed. We can also analyse which data mining algorithm gives us the highest accuracy based on our data and, address some of the open problems we may encounter as we go along, based on existing research literature. Understanding the learner's in-depth thinking process after a lesson or series of lessons, will give us more information about where the student is lacking or whether the skills are lacking, in the event that most students seem to lack a certain pattern. This shall enable more fluid methods for students and academics to be classified into a system, we can categorize them based on class performances or regular assignments, and find a system which shall give us an understanding about the grasp of a particular student in a certain subject and eventually, the group of students performing well in certain subjects can be placed in opportunities which shall enhance their skill sets and help them pick a customized career for them. The use of multi-phase analysis and cluster analysis is intended to be based on data on which Key Performance Indexes will be determined at the end. Based on these determining Key Performance Indexes, we can access important information and, if possible, present it on a working dashboard.
Keywords: No Keywords Available
DOI: https://doi.org/10.5281/zenodo.5905213
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT22JAN413_(1).pdf
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