Analytics for learning design: A layered framework and tools

TLDR

The field of learning design studies how to support teachers in devising suitable activities for their students to learn, while learning analytics explores how data about students’ interactions can increase understanding of learning experiences, yet work integrating data analytics into learning design remains limited and fragmented. The paper proposes a framework of analytics layers for learning design that articulates learning analytics, design analytics, and community analytics to support informed decision‑making. The authors describe tools and experiences that illustrate how the framework’s analytics perspectives can support learning design processes.

Abstract

Abstract The field of learning design studies how to support teachers in devising suitable activities for their students to learn. The field of learning analytics explores how data about students' interactions can be used to increase the understanding of learning experiences. Despite its clear synergy, there is only limited and fragmented work exploring the active role that data analytics can play in supporting design for learning. This paper builds on previous research to propose a framework (analytics layers for learning design) that articulates three layers of data analytics—learning analytics, design analytics and community analytics—to support informed decision‐making in learning design. Additionally, a set of tools and experiences are described to illustrate how the different data analytics perspectives proposed by the framework can support learning design processes.