Ruf, Alessia

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Ruf
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Alessia
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Ruf, Alessia

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20213
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Autor:in: Oshima, Jun × Autor:in: Zahn, Carmen ×

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  • Vorschaubild nicht verfügbar
    Publikation
    Video Data Collection and Video Analyses in CSCL Research
    (Springer, 04/2021) Zahn, Carmen; Ruf, Alessia; Goldman, Ricki; Cress, Ulrike; Rosé, Carolyn; Wise, Alyssa Friend; Oshima, Jun [in: International Handbook of Computer-Supported Collaborative Learning]
    The purpose of this chapter is to examine significant advances in the collection and analysis of video data in Computer Supported Collaborative Learning (CSCL) research. We demonstrate how video-based studies create robust and dynamic research processes. The chapter starts with an overview of how video analysis developed within CSCL by way of its pioneering roots. Linked throughout the chapter are the theoretical, methodological, and technological advances that keep advancing CSCL research. Specific empirical and experimental research examples will illustrate current and future advances in data collection, transformation, coding, and analysis. Research benefits and challenges that include the current state of understanding from observations of single, multiple, or 360° camera recordings will also be featured. In addition, eye-tracking and virtual reality environments for collecting and analyzing video data are discussed as they become new foci for future CSCL research.
    04A - Beitrag Sammelband
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    Publikation
    Impact of learners’ video interactions on learning success and cognitive load
    (International Society of the Learning Sciences, 2021) Ruf, Alessia; Leisner, David; Zahn, Carmen; Opwis, Klaus; Hmelo-Silver, Cindy; de Wever, Bram; Oshima, Jun [in: 14th International Conference on Computer-Supported Collaborative Learning – CSCL 2021]
    Enhanced video-based learning environments provide new tools (e.g., hyperlinks) – along with the well-known basic video control tools (e.g., play, pause, rewind) – that afford learners‘ enhanced interaction with videos. With these tools, learners can actively transform existing videos into their own hypervideo structures by adding hyperlinks and own materials. Unlike research on basic control tools that has revealed positive impacts on learning, research on enhanced tools is still rare and conflicting. It is thus open, whether the tools support generative interested learning or put too much extrinsic cognitive load onto learners. In the present study, we investigated the effects of video annotation and hyperlinking tools on learning success and cognitive load by analyzing tool-related interaction behavior data of 141 university students. Results indicated that the frequent use of enhanced video tools positively predicted learning success and a decrease in cognitive load. Implications of these results are discussed.
    04B - Beitrag Konferenzschrift
  • Vorschaubild nicht verfügbar
    Publikation
    Introducing a new approach for investigating learning behavior
    (International Society of the Learning Sciences, 2021) Ruf, Alessia; Niederhauser, Mario; Jäger, Joscha; Zahn, Carmen; Opwis, Klaus; Hmelo-Silver, Cindy; de Wever, Bram; Oshima, Jun [in: 14th International Conference on Computer-Supported Collaborative Learning – CSCL 2021]
    The potential of learners’ video interactions to understand learning behavior has been recognized in previous research. However, little research has yet been conducted on enhanced video-based environments using behavior sequence analyses. Hence, we developed Logible, a sensitive, web-based tool to detect and analyze meaningful behavior sequences of learners interacting with such environments. The tool is based on an iterative method. With Logible we were able to visualize learning behavior and emphasize differences in experimental conditions.
    04B - Beitrag Konferenzschrift