Chapter 11: Facing the change beyond COVID-19: continuous curriculum improvement in higher education using learning analytics

Abstract

Due to the rapid digitalization of Higher Education, universities and colleges have access to more student data than ever before, allowing for real-time analysis of student behaviour and learning results. To evaluate the quality of curriculum and teaching practices, some institutions have relied on curriculum analytics ÔÄ? a subfield of learning analytics aiming to leverage educational data for improving program quality and student learning. So far, some promising tools have been developed to inform curriculum renewal strategies. However, this is still an emerging research area, so little is known about how it supports continuous curriculum improvement in different university settings. More robust design-based research is needed to understand how curriculum analytics helps higher education stakeholders gain better understanding of student outcome attainment. This chapter presents a research agenda that reflects on the importance of promoting continuous curriculum improvement and the research challenges for using curriculum analytics for this purpose.