A Framework for PO Attainment in HEI’s using Machine Learning in India

Abstract

Outcome-based learning comprehends in the overall technical and professional growth of a student. This generates a need for clear liberation of the desired educational outcomes in the structuring of the curriculum. The unequivocal expounded outcome well represents the type of course offered and coverage of topics. It is imperative to construct courses that can align with the objectives of the Programme. This constructive alignment can facilitate the efficacious implementation of teaching and learning processes and assessment tasks. The outcome-based approach provides a mechanism to ensure the accountability and quality assurance to an educational Programme. Therefore, it establishes a need to map learning outcomes of each course with the Programme Objectives to analyze the attainment of objectives specific to a Programme. The result strongly indicates whether the students can achieve the course learning objectives. Therefore, this study liberates a detailed discussion on Outcome- Based Education, PO Attainment and proposes a framework for PO Attainment. Subsequently, the research work presents a case study of a HEI in India that has successfully implemented the concept of PO Attainment. The dataset of the HEI has been applied using Naïve Bayes and K* classifiers to verify the results.