Enhancing Student Engagement and Outcomes through an Innovative Pedagogy for Teaching Big Data Analytics in Undergraduate Level

Abstract

This paper proposes an innovative teaching pedagogy for the subject of Big Data Analytics at the undergraduate level. The proposed pedagogy aims to provide students with a hands-on approach to learning, where they can apply the concepts and techniques, they have learned to real-world data sets and problems. The pedagogy also places an emphasis on project-based learning, guest lectures, interactive discussions, and multimedia presentations, to foster critical thinking, creativity, and collaboration among students. Moreover, continuous assessment and feedback are incorporated to ensure students are continuously improving and receiving regular support. The proposed pedagogy is designed to enhance student engagement and provide a more comprehensive learning experience for students of Big Data Analytics.