Course Selection by Machine Learning

Saurabh Gandhi

doi:10.37591/.v10i1.876

Abstract

A module to recommend various courses on the basis of learning outcomes and studentselection. Students choose specific courses of study because of their interests and possiblefuture development upon graduation. It is a unique form of student counseling that proposes avariety of student strategies and resources for developing skills and knowledge. It collectscourse information and commends them according to their students' preferences, interests andneeds. Choosing the wrong subjects means the discrepancy between the student'sunderstanding, power and personal interest. Problems arise when a student is not interested inthe course that is not well matched with the student's ability. In this module, the system assessesthe power of psychometric tests and is based on their previous learning outcomes.Incorporating all aspects, a decision is made as to which courses should be recommended bythe learner. Faculty, teaching staff or parents cannot always advise their students because ofthe workload. So it's nice to have some kind of smart complimentary tools that need to be madeto help them.Keywords: Electrotechnology, physics of microgravity, recommender systems, semantic web, propulsion and combustion