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P346 - Software Engineering im Unterricht der Hochschulen (SEUH) 2024

https://dl.gi.de/handle/20.500.12116/43785
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Auflistung P346 - Software Engineering im Unterricht der Hochschulen (SEUH) 2024 nach Autor:in "Bente, Stefan"

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  • Konferenzbeitrag
    A Conceptual Framework to Transform Coding Education in Times of Generative AI
    (Software Engineering im Unterricht der Hochschulen 2024, 2024) Bente, Stefan; Randall, Natasha; Wäckerle, Dennis
    In light of the rising ubiquity and accessibility of AI tools, software engineering curricula must be adapted in response, particularly with regards to coding education. We propose an extension to Bloom's Revised Taxonomy, enhanced to a second dimension that represents the scope and complexity of coding tasks. The path that a computer science study program typically follows can be mapped onto these dimensions, and evaluated in the context of generative AI tool use, which falls into three core stages. AI should be initially banned, then made an explicit part of coding education, and finally ...
  • Konferenzbeitrag
    Lernräume unter Verwendung von generativen Sprachmodellen
    (Software Engineering im Unterricht der Hochschulen 2024, 2024) Geisel, Victoria; Schindler, Christian; Stein, Nils; Bente, Stefan
    University education may cultivate independent study by design of supportive environments for students. Recent proliferation of generative AI tools has had a significant impact on this. The extent to which successfull scholarship is influenced by these tools is the subject of current research and the focus of this study. Tasks in the field of databases with different competence levels and didactic goals were solved by students with the help of GPT-3.5. Intellectual performance and success were then evaluated. The results show that integration of generative language models has the potential ...