Use case scenarios

What can text-generating AI tools do in a university context?

The following list describes current technical possibilities of common text-generative AI tools, but does not constitute a pedagogical recommendation. The use of AI tools in (university) teaching should always be critically reflected with regard to possible challenges (see "Opportunities and challenges").

  • Teaching administration and planning

    • Creating course descriptions

    • Formulating learning objectives

    • Suggesting topics or outlines
       

  • Preparing individual course units

    • Suggesting ideas for tasks and methods (e.g. ice-breakers)

    • Suggesting topics, activities and processes

    • Creating quizzes (with distractors)
       

  • Support with performance assessments

    • Creating examination tasks (+ differentiation) (e.g. MC questions and answers)

    • Creating assessment grids

    • Evaluating solutions

Origami books {f:if(condition: '', then: '©')}
Origami cloud and pencil {f:if(condition: '', then: '©')}

  • For writing tasks*

    • Solving writer's block

    • Giving impulses

    • Providing suggestions for structure

    • Creating summaries

    • Explaining in easy(er) language

    • Improving your own texts (e.g. in a foreign language, stylistically)

    • Providing feedback

    • Enabling personalized learning paths

    • Translating

    • Summarizing

    • Proofreading

    • Researching & finding academic papers

*These use case scenarios can be used by both teachers and students.