Outcome-based education: A case study on course outcomes, program outcomes and attainment for big data analytics course

Abstract

The key aspect of Outcome-Based Education (OBE) is an assessment of learning outcomes. OBE assessment of the outcomes of the course is the most critical feature required to improve the quality of education. Learning outcomes are concrete, formal statements that state what students are expected to learn in a course. Program Outcomes (POs) are the knowledge, skills, and attitudes that students should have at the end of the course. POs can be measured through Course Outcomes (COs) which are broad statements indicating knowledge, skills acquired at the end of the course. The results of each course are based on COs and POs. An innovative method is needed for assessing the COs and POs. This paper details the CO-PO matrix analysis and CO-PO attainment analysis for Big data analytics course. This study aims to give an effective strategy for evaluating COs and POs, beginning with the formulation of COs using Bloom's Taxonomy. In this methodology by us i ng t he st udent s ' perf or mance i n i nt er nal assessment, end exam, assignments, and course exit feedback; calculate the attainment of the course. The proposed method assists in the creation of effective lesson plans, high-quality question papers, and effective rubrics for course evaluation. The outcome-based approach necessitates a paradigm shift in the curriculum process and how the learner is empowered to achieve outcomes.