Analytics for learning design : A layered framework and tools

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,...

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Bibliographic Details
Published in:British journal of educational technology 2019-01, Vol.50 (1), p.139-152
Main Authors: Davinia Hernández-Leo, Roberto Martinez-Maldonado, Abelardo Pardo, Juan A. Muñoz-Cristóbal, María J. Rodríguez-Triana
Format: Article
Language:English
Subjects:
Analytics
Data Analysis
Decision analysis
Decision Making
Design analysis
Educational technology
Framework
Guidelines
Instructional Design
Learning
Learning analytics
Learning design
Learning Experience
Mathematical analysis
Organisation
Role
Students
Teaching Methods
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Summary: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. [Author abstract]
ISSN:0007-1013
1467-8535
DOI:10.1111/bjet.12645