Convolution Neural Network Learning for Course Outcome Attainment Improvement

摘要

The capabilities of connectionist approaches such as Convolutional Neural Networks (CNNs) are used for data analysis. The trained system is used as a recommendation system. ADAMS (Accreditation Data Analysis and Management System) provides the training data in the form of assessment rubrics of course learning outcomes for University level programs. Once the system is trained with this data, it can improvise solutions for untrained cases and help in recommending remedies for weaknesses in the student attainment rates for educational quality.