Opportunities and challenges in using Learning Analytics in Learning Design

Marcel Schmitz, Evelien Van Limbeek, Wolfgang Greller, Peter Sloep, Hendrik Drachsler

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    Abstract

    Educational institutions are designing, creating and evaluating courses to optimize learning outcomes for highly diverse student populations. Yet, most of the delivery is still monitored retrospectively with summative evaluation forms. Therefore, improvements to the course design are only implemented at the very end of a course, thus missing to benefit the current cohort. Teachers find it difficult to interpret and plan interventions just-in-time. In this context, Learning Analytics (LA) data streams gathered from ‘authentic’ student learning activities, may provide new opportunities to receive valuable information on the students' learning behaviors and could be utilised to adjust the learning design already "on the fly" during runtime. We presume that Learning Analytics applied within Learning Design (LD) and presented in a learning dashboard provide opportunities that can lead to more personalized learning experiences, if implemented thoughtfully. In this paper, we describe opportunities and challenges for using LA in LD. We identify three key opportunities for using LA in LD: (O1) using on demand indicators for evidence based decisions on learning design; (O2) intervening during the run-time of a course; and, (O3) increasing student learning outcomes and satisfaction. In order to benefit from these opportunities, several challenges have to be overcome. We mapped the identified opportunities and challenges in a conceptual model that considers the interaction of LA in LD.
    Original languageEnglish
    Title of host publicationData Driven Approaches in Digital Education.
    Subtitle of host publication12th European Conference on Technology Enhanced Learning, EC-TEL 2017, Tallinn, Estonia, September 12–15, 2017, Proceedings
    EditorsÉ. Lavoué, H. Drachsler, K. Verbert, J. Broisin, M. Pérez-Sanagustín
    PublisherSpringer
    Pages209-223
    ISBN (Electronic)978-3-319-66610-5
    ISBN (Print)978-3-319-66609-9
    DOIs
    Publication statusPublished - 1 Sep 2017
    Event12th European Conference on Technology Enhanced Learning: Data Driven Approaches in Digital Education - Tallinn, Estonia
    Duration: 12 Sep 201715 Sep 2017
    http://ectel2017.httc.de/index.php?id=777

    Publication series

    SeriesLecture Notes in Computer Science
    Volume10474
    ISSN0302-9743

    Conference

    Conference12th European Conference on Technology Enhanced Learning
    Abbreviated titleEC-TEL 2017
    Country/TerritoryEstonia
    CityTallinn
    Period12/09/1715/09/17
    Internet address

    Keywords

    • Learning Analytics
    • Learning Design
    • Learning Dashboards
    • meta-cognitive competences
    • feedback
    • reflection
    • run-time
    • Learning Activity

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