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, there...
| Autores: | , , , , |
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| Tipo de documento: | artigo |
| Estado: | Versión aceptada para publicación |
| Data de publicação: | 2018 |
| País: | España |
| Recursos: | Universitat Pompeu Fabra |
| Repositório: | Repositorio Digital de la UPF |
| OAI Identifier: | oai:repositori.upf.edu:10230/35435 |
| Acesso em linha: | http://hdl.handle.net/10230/35435 http://dx.doi.org/10.1111/bjet.12645 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Learning analytics Learning design Framework Tools |
| Resumo: | 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 (AL4LD) 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. |
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