Authors
Aneesha Bakharia, Linda Corrin, Paula De Barba, Gregor Kennedy, Dragan Gašević, Raoul Mulder, David Williams, Shane Dawson, Lori Lockyer
Publication date
2016/4/25
Book
Proceedings of the sixth international conference on learning analytics & knowledge
Pages
329-338
Description
In this paper we present a learning analytics conceptual framework that supports enquiry-based evaluation of learning designs. The dimensions of the proposed framework emerged from a review of existing analytics tools, the analysis of interviews with teachers, and user scenarios to understand what types of analytics would be useful in evaluating a learning activity in relation to pedagogical intent. The proposed framework incorporates various types of analytics, with the teacher playing a key role in bringing context to the analysis and making decisions on the feedback provided to students as well as the scaffolding and adaptation of the learning design. The framework consists of five dimensions: temporal analytics, tool-specific analytics, cohort dynamics, comparative analytics and contingency. Specific metrics and visualisations are defined for each dimension of the conceptual framework. Finally the development …
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