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    Using Learning Analytics to Devise Interactive Personalised Nudges for Active Video Watching (2017)

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    Type of Content
    Conference Contributions - Published
    UC Permalink
    http://hdl.handle.net/10092/14529
    
    Publisher's DOI/URI
    https://doi.org/10.1145/3079628.3079683
    
    Publisher
    ACM
    Collections
    • Engineering: Conference Contributions [2307]
    Authors
    Dimitrova V
    Mitrovic, Antonija cc
    Piotrkowicz A
    Lau L
    Weerasinghe A
    show all
    Abstract

    Videos can be a powerful medium for acquiring soft skills, where learning requires contextualisation in personal experience and ability to see different perspectives. However, to learn effectively while watching videos, students need to actively engage with video content. We implemented interactive notetaking during video watching in an active video watching system (AVW) as a means to encourage engagement. This paper proposes a systematic approach to utilise learning analytics for the introduction of adaptive intervention - a choice architecture for personalised nudges in the AVW to extend learning. A user study was conducted and used as an illustration. By characterising clusters derived from user profiles, we identify different styles of engagement, such as parochial learning, habitual video watching, and self-regulated learning (which is the target ideal behaviour). To find opportunities for interventions, interaction traces in the AVW were used to identify video intervals with high user interest and relevant behaviour patterns that indicate when nudges may be triggered. A prediction model was developed to identify comments that are likely to have high social value, and can be used as examples in nudges. A framework for interactive personalised nudges was then conceptualised for the case study.

    Citation
    Dimitrova V, Mitrovic A, Piotrkowicz A, Lau L, Weerasinghe A (2017). Using Learning Analytics to Devise Interactive Personalised Nudges for Active Video Watching. Bratislava, Slovakia: User Modeling, Adaptation and Personalization. 09/07/2017-12/07/2017. http://dl.acm.org/citation.cfm?id=3079628. 22-31.
    This citation is automatically generated and may be unreliable. Use as a guide only.
    Keywords
    video-based learning; soft-skills; personalised nudges; analytics
    ANZSRC Fields of Research
    39 - Education::3904 - Specialist studies in education::390405 - Educational technology and computing
    280000 Information, Computing and Communication Sciences
    Rights
    This work is licensed under a Creative Commons Attribution International 4.0 License.

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    • Choice Architecture for Nudges to Support Constructive Learning in Active Video Watching 

      Dimitrova V; Mitrovic, Antonija (Springer Science and Business Media LLC, 2021)
      Video-based learning is widely used today in both formal education and informal learning in a variety of contexts. Videos are especially powerful for transferable skills learning (e.g. communicating, negotiating, collaborating), ...
    • Investigating the effect of nudges for improving comment quality in active video watching 

      Mohammadhassan N; Mitrovic, Antonija; Neshatian, Kourosh (Elsevier BV, 2022)
      Developing and maintaining constructive engagement is a crucial challenge in learning by watching videos. AVW-Space is an online video-based learning platform which enhances student engagement via note-taking and ...
    • Automatic assessment of comment quality in active video watching 

      Mohammadhassan N; Mitrovic, Antonija; Neshatian, Kourosh; Dunn J (Asia-Pacific Society for Computers in Education, 2020)
      Active Video Watching (AVW-Space) is an online platform for video-based learning which supports engagement via note-taking and personalized nudges. In this paper, we focus on the quality of the comments students write. We ...
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