Saprina Mamase, Irwan Karim, Nurhayati Doda, Andi Asrifan
This chapter examines the transformative capacity of real-time feedback loops, facilitated by big data analytics, in improving curriculum design and teaching methodologies. Utilizing educational theories and curriculum creation frameworks, it emphasizes how prompt, data-driven decisions empower educators to more effectively meet student needs. The amalgamation of learning management systems, assessment instruments, and visualization technologies enables the ongoing collecting and analysis of both quantitative and qualitative data. Case studies from K-12 and higher education contexts demonstrate the practical applications and beneficial results of employing data-driven feedback systems. The chapter discusses ethical considerations, including data privacy and equity, and highlights the changing role of educators in a data-intensive learning environment. It ultimately promotes a systemic transition towards ongoing curriculum enhancement via collaborative, adaptive, and individualized learning methodologies. © 2026, IGI Global Scientific Publishing. All rights reserved.
Universitas Gorontalo, Indonesia; Universitas Negeri, Makassar, Indonesia
