Data Science in Education: Transforming Decision Making, Learning Processes, and Policy Making

Abstract

This chapter discusses how data science changes the education sector and how it can be used to improve management, decision-making, and learners' interactions. Since it focuses on extensive information, educational institutions can enhance the decision-making, control, and planning processes, ultimately resulting in optimized operations and addressing students' needs. The application of data science is evident in the learning process through the incorporation of adaptive technologies in an effort to offer unique learning experiences that enhance creativity and learner's performance. However, this integration of data science has some challenges in aspects of data protection, data transparency, and data consent. In the future, data science will continue to foster advances in adaptive learning, artificial intelligence, and policy, providing further chances to achieve fair and efficient educational structures. The presented chapter supports the call for the combination of ethical factors with the positive effects of data science for education to better impact learners and instructors.