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.
