A conceptual framework linking learning design with learning analytics

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

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

    73 Citations (Scopus)

    Abstract

    In this paper we present a learning analytics conceptual framework that supports enquiry-based evaluation of learn- ing designs. The dimensions of the proposed framework emerged from a review of existing analytics tools, the analy-sis of interviews with teachers, and user scenarios to under- stand 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 pro- vided to students as well as the scaffolding and adaptation of the learning design. The framework consists of five di-mensions: 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 publicationLAK 2016 Conference Proceedings, 6th International Learning Analytics and Knowledge Conference - Enhancing Impact: Convergence of Communities for Grounding, Implementation, and Validation
    Place of PublicationEdinburgh
    PublisherAssociation for Computing Machinery
    Pages329-338
    Number of pages10
    Volume25-29-April-2016
    ISBN (Electronic)9781450341905
    DOIs
    Publication statusPublished - 25 Apr 2016
    Event6th International Conference on Learning Analytics and Knowledge, LAK 2016 - Edinburgh, United Kingdom
    Duration: 25 Apr 201629 Apr 2016

    Other

    Other6th International Conference on Learning Analytics and Knowledge, LAK 2016
    CountryUnited Kingdom
    CityEdinburgh
    Period25/04/1629/04/16

    Keywords

    • Intervention design
    • Learning analytics
    • Learning design

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