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Auflistung nach Autor:in "Bernoth, Jan"

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  • Conference Paper 
    Analytics-Dashboard für Lehre, Forschung und Transfer
    (DELFI 2019, 2019) Bernoth, Jan; Kiy, Alexander; Lucke, Ulrike
    Sämtliche Bereiche der Hochschule sind durch zunehmenden Einsatz digitaler Medien und Systeme gekennzeichnet. Dabei fallen in verschiedenen Systemen Daten an, die visuell und semantisch in Form von Analytics-Dashboards aufbereitet von den Nutzenden zur Optimierung von Kern­prozessen aus Forschung und Lehre verwendet werden können. Während Learning Analytics lediglich auf den Teil­bereich Lehre und Studium abzielt, werden in diesem Posterbeitrag auch Prozesse für Forschung und Transfer betrachtet. Darüber hinaus werden Ideen für ein hochschulweit nutzbares Analytics-Dashboard sowie entwickelte Anwendungsszenarien präsentiert.
  • Position paper
    From Receiving to Characterizing: Improving Training Strategies for Research Data/Software Management by another domain!
    (Proceedings of DELFI 2024, 2024) Bernoth, Jan; Riedel, Christian; Wiepke, Axel; Laban, Firas Al
    Constructing learning objectives for Research Data and Software Management (RDSM) primarily focuses on the cognitive domain of Bloom’s taxonomy. However, surveys exploring why RDSM is not fully implemented across all research fields have revealed that the issue extends beyond a mere lack of knowledge. It appears that researchers also lack inner conviction and are not open to RDSM practices. To address this, we aim to initiate a discussion through this position paper on incorporating another dimension of Bloom’s Taxonomy into training competencies: the affective domain. Considering emotional factors might help persuade individuals to receive and respond to information more effectively. By integrating the affective domain, we suggest that a shift in learning strategies and activities from purely cognitive objectives in RDSM could be beneficial.
  • Konferenzbeitrag
    Utilizing Personas to Create Infrastructures for Research Data and Software Management
    (INFORMATIK 2024, 2024) Bernoth, Jan; Al Laban, Firas; Lucke, Ulrike
    Personas are often used in requirements engineering to analyze how people from target groups could use prospective systems or services. Recently, the personas approach also gained some popularity for demonstration and marketing purposes. While the usefulness of personas is uncontested, it is not always clear to which extent the target group is covered and which relevant perspectives are still missing. To address this problem, we present a systematic approach to gain a structured analysis of the personas used in a complex development process. The overall goal of this development is to provide an infrastructure for the management of research data and research software using a containerized approach. We applied the FAIR Ecosystem model with its components and relevant stakeholder groups as a basis of the persona construction, and we illustrate how we used this method to categorize the created personas and to identify blind spots. Not every role is currently defined at all institutions – but if they were, how would they shape research at universities in 2034?