
Laura KöbisFriedrich Schiller University Jena | FSU
Laura Köbis
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Publications (7)
Lehramtsstudierende der Universität Leipzig erhalten die Möglichkeit, einen Chatbot zu nutzen, der mithilfe einer Textanalyse-Software automatisch generiertes Feedback auf eingereichte Texte gibt. Um für die Weiterentwicklung dieses digitalen Mentoring-Angebots das Verhältnis zwischen didaktischem Design, Nutzungsdaten und Nutzungserfahrung neu zu...
open access: https://www.wbv.de/shop/Chancen-und-Herausforderungen-beim-Einsatz-von-Matching-Tools-im-Hochschulbereich-HSL2202W
Ein wesentliches Element für erfolgreiches Mentoring ist das Matching, d. h. das Zusammenbringen von Mentees und Mentorinnen bzw. Mentoren. Um universitäre Mentoringprogramme bei diesem komplexen und ressourcenintensiven...
In textbasierten Lehrveranstaltungen bieten Präsenzseminare traditionell den Raum, um im Gespräch mit Studierenden die Mehrdeutigkeit zentraler Konzepte der Lektüregrundlage auszuleuchten und zu individuellen Lesarten ins Verhältnis zu setzen. Solche Lernprozesse in der Interaktionssituation von Online-Seminaren abzubilden, ist eine didaktische Her...
Like most curricula in the humanities and social sciences, the curriculum of pre-service teacher training in educational sciences often includes time-consuming reading and writing tasks, which require high quality support and feedback in a timely manner. A well-known way to provide this support to students is one-to-one mentoring. However, limited...
Mentoring is a highly personal and individual process, in which mentees take advantage of expertise and experience to expand their knowledge and to achieve individual goals. The emerging use of AI in mentoring processes in higher education not only necessitates the adherence to applicable laws and regulations (e.g., relating to data protection and...
We present ways of applying technology-enhanced feedback, using automated domain modeling in the context of mentoring. N=300 curricular text-references of the curricular subject literature were analyzed using T-MITOCAR. Subsequently, knowledge-models were semantically clustered with T-MITOCAR Artemis, generating a knowledge map that represents a do...
Digital systems that enable so-called intelligent, adaptive or personalized learning are thought to bear great potential for the future of education. Research and development towards such innovative learning systems has therefore evolved into an expanding field. Two of the key challenges are (1) to automate the extraction of expert knowledge and (2...