PREDICTION OF KPIs RELATED TO CLOs/PLOs

Abstract

Knowledge is one of the key elements through which a provides a familiarity, understanding and awareness of different facts, skills, and entity. Unfortunately, nowdays knowledge institutes are operational just for the sake of business and have been not able to provide the quality education and assessing methods. Recently there was a discovery in this field by proposing a system of setting program learning outcomes (PLO) and course learning outcomes (CLO) for a course. If a student earns 50% in every CLO he/she is considered passed in particular course. This is a good system but it has few flaws. This system does not provide a mechanism in which it could provide future predictions of CLOs/PLOs of different students, to analyze how many students will pass or fail a particular CLOs/PLOs. This thesis provides solution to the problem by proposing a system which is capable of predicting future results of CLO and PLO of a specific course taught by specific teacher.The system is designed in such a way that there are 6 dedicated KPIs.The data of the students of a course are entered and with the aid of machine learning algorithms the respective scores of the KPIs are calculated. If some course is getting 90% marks from past two to three years or course is getting less than 50% marks from past 2 to 3 years then Analysis can be performed by the department and further actions can be taken to enhance the enviornment of learning. The proposed system is implemented on Python is used widely for machine learning.