Rack, Oliver

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Rack
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Oliver
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Rack, Oliver

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2023 - 20244
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Anfangsdatum: 2022 × Dateien dazu vorhanden?: Ja ×

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Gerade angezeigt 1 - 4 von 4
  • Vorschaubild
    Publikation
    Zooming in: The role of nonverbal behavior in sensing the quality of collaborative group engagement
    (Springer, 16.05.2024) Paneth, Lisa; Jeitziner, Loris Tizian; Rack, Oliver; Opwis, Klaus; Zahn, Carmen [in: International Journal of Computer-Supported Collaborative Learning]
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Vorschaubild
    Publikation
    The relationships between team process variables and conflict types - a systematic review
    (09.07.2023) Merz, Nora; Vollmer, Albert; Rack, Oliver
    The increasing use of teams within organizational contexts has led to a significant stream of literature examining the impact and consequences of intra-group conflicts on team outcomes. The purpose of this review is to identify and analyze process factors and emergent states in conflict research in terms of their impact on the relationship between conflict types (task, relationship, process and interest-based) and team effectiveness. A systematic literature search was conducted resulting in 182 articles included in the second screening. The preliminary results indicate different process factors and emergent states like conflict management styles and team cohesion. The results of the review give an overview of the process variables in conflicts and can be used to identify key factors for managing conflicts within teams. Furthermore, it can guide the development of interventions and training programs.
    06 - Präsentation
  • Vorschaubild
    Publikation
    Exploring linguistic indicators of social collaborative group engagement
    (International Society of the Learning Sciences, 2023) Jeitziner, Loris Tizian; Paneth, Lisa; Rack, Oliver; Zahn, Carmen; Wulff, Dirk U.; Damşa, Crina; Borge, Marcela; Koh, Elizabeth; Worsley, Marcelo [in: Proceedings of the 16th International Conference on Computer-Supported Collaborative Learning - CSCL 2023]
    This study takes a NLP approach to measuring social engagement in CSCL-learning groups. Specifically, we develop linguistic markers to capture aspects of social engagement, namely sentiment, responsiveness and uniformity of participation and compare them to human ratings of social engagement. We observed small to moderate links between NLP-markers and human ratings that varied in size and direction across the different groups. We discuss measurement and prediction of social collaborative group engagement using natural language processing.
    04B - Beitrag Konferenzschrift
  • Vorschaubild
    Publikation
    A multi-method approach to capture quality of collaborative group engagement
    (International Society of the Learning Sciences, 2023) Paneth, Lisa; Jeitziner, Loris Tizian; Rack, Oliver; Zahn, Carmen; Damsa, Crina; Borge, Marcela; Koh, Elizabeth; Worsley, Marcelo [in: Proceedings of the 16th International Conference on Computer-Supported Collaborative Learning - CSCL 2023]
    Multi-method approaches are an emerging trend in CSCL research as they allow to paint a more comprehensive picture of complex group learning processes than using a single method. In this contribution, we combined measures from different data sources to capture the quality of collaborative group engagement (QCGE) in CSCL-groups: QCGE-self-assessments, QCGE-ratings of verbal group communication, and video recorded nonverbal group behaviors. Using different methods of analysis, we visualized, described, and analyzed the data and related the measures to each other. Here, we present results suggesting that measures from different data sources are interrelated: For instance, nonverbal behavior (like nodding the head) is related to high QCGE-ratings of verbal communications. Results are preliminary and show disparities, too. Yet, we conclude that the multi-method approach results in a more comprehensive understanding of QCGE. Feasibility and suitability of the multi-method approach are discussed and conclusions for future research are drawn.
    04B - Beitrag Konferenzschrift