Crafting Effective Education Policies With Data Science Tools and Techniques

Abstract

The digital world holds vast data, from historical records to current affairs, that can be analyzed and transformed into knowledge. In education, data science helps educators to tailor instructions and improve the efficiency and outcome of students by introducing new strategies and personalized learning plans. This chapter aims to bring out the role of data science in the discipline of education and how data science helps in effective policy-making through statistical analysis of student academic performance, data visualization and resource allocation, so that we can ensure that funding and support are directed to the areas needed most. This chapter aims to identify the obvious challenges associated with the current educational reforms and the way data science can help to address those issues by giving a clear perspective of policy-making with data-driven decisions, its impact on the betterment of the individual student. It is stressed that innovative decisions to existing problems with the help of data science can increase literacy levels nationwide.