Enhanced Grading system in Education using Statistical Data Analysis

Abstract

The 21st century is all about advanced technology, offering state-of-the-art tools to help organizations optimize their productivity and achieve the business s bottom line. The same dogma applies to the education sector, with smart phones, cloud-based platforms, the internet of things (IoT), social networking sites, genetic research, supercomputers, student web portals. Educational institutions should use big data as a transformative tool for many aspects of education but crafting individual lessons and lesson plans are at the forefront. Big data visualization helps academic institutions to assess performance indicators in research and students progress along with offering an adaptive learning module the engine to work from. The education sector cannot streamline its operations without organizing the large volume of data collected every day. Educational institutions generate quintillion bytes of data every day. It is impossible to store, organize, analyze, and gain insights from complex data using conventional tools. So, this is where we need big data analytics tools and applications to accelerate data management processes. Advanced tools with intuitive user interfaces and dashboards allow streamlined collection, storage, retrieval, and analysis of students data. This work aims to use grading system with data analytics tools to identify students problems and gain insights to bring positivity to learning processes.