Introducing meaning to clicks: towards traced-measures of self-efficacy and cognitive load

Jelena Jovanović, Shane Dawson, Dragan Gašević, Alexander Whitelock-Wainwright, Abelardo Pardo

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

    13 Citations (Scopus)

    Abstract

    The use of learning trace data together with various analytical methods has proven successful in detecting patterns in learning behaviour, identifying student profiles, and clustering learning resources. However, interpretation of the findings is often difficult and uncertain due to a lack of contextual data (e.g., data on student motivation, emotion or curriculum design). In this study we explored the integration of student self-reports about cognitive load and self-efficacy into the learning process and collection of relevant students' perceptions as learning traces. Our objective was to examine the association of traced measures of relevant learning constructs (cognitive load and self-efficacy) with i) indicators of the students' learning behaviour derived from trace data, and ii) the students' academic performance. The results indicated the presence of association between some indicators of students' engagement with learning activities and traced measures of cognitive load and self-efficacy. Correlational analysis demonstrated significant positive correlation between the students' course performance and traced measures of cognitive load and self-efficacy.

    Original languageEnglish
    Title of host publicationProceedings of the 9th International Conference on Learning Analytics and Knowledge (LAK'19)
    Subtitle of host publicationLearning Analytics to Promote Inclusion and Success
    EditorsChristopher Brooks, Rebecca Ferguson, Ulrich Hoppe
    PublisherAssociation for Computing Machinery (ACM)
    Pages511-520
    Number of pages10
    ISBN (Electronic)9781450362566
    ISBN (Print)New York NY USA
    DOIs
    Publication statusPublished - 2019
    EventInternational Learning Analytics & Knowledge Conference 2019 - Arizona State University, Tempe, United States of America
    Duration: 4 Mar 20198 Mar 2019
    Conference number: 9th
    https://lak19.solaresearch.org/

    Publication series

    NameACM International Conference Proceeding Series

    Conference

    ConferenceInternational Learning Analytics & Knowledge Conference 2019
    Abbreviated titleLAK 2019
    Country/TerritoryUnited States of America
    CityTempe
    Period4/03/198/03/19
    Internet address

    Keywords

    • Cognitive load
    • Learning analytics
    • Perceived difficulty
    • Self-efficacy
    • Self-reports
    • Trace data

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