A conceptual framework linking learning design with learning analytics

Aneesha Bakharia, Linda Corrin, Paula de Barba, Gregor Kennedy, Dragan Gasevic, Raoul Mulder, David Williams, Shane Dawson, Lori Lockyer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

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 analyt-ics, 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 of a tool that partially implements the conceptual framework is discussed.
Original languageEnglish
Title of host publicationProceedings of the 6th International Conference on Learning Analytics and Knowledge (LAK 2016)
PublisherACM Press
Pages329-338
ISBN (Electronic)978-1-4503-4190-5/16/04
DOIs
Publication statusPublished - May 2016

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