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GeschAIt

• GeschAIt - A contribution to empirically based theory formation in the field of human-machine interaction using generative artificial intelligence in historical and political education

The ‘GeschAIt’ doctoral project is coordinated by the Media | Transformation department at the Leibniz Institute for Educational Media | Georg Eckert Institute (GEI). The aim of the project is to make an empirically based contribution to the development of the theory of human-machine interaction in historical and political education. Using participative interviews, with students, teachers, educators and prompt engineers, the project team aim to develop suitable tasks for dealing with historical and political topics using (text-)generative artificial intelligence (AI). The resulting educational material will then be processed by students in the GEI's digital laboratory ‘The Basement’, with the help of generative AI in a special teaching/learning setting. The way in which students address the tasks will be observed according to ethno-methodological theories and practice-theory premises. The project team will focus particularly on the practices used by students in dealing with generative AI, in order to profile the interface between everyday digital practices (‘doing AI’) and subject-specific practices and the resolution of tasks in the historical and political education setting (‘doing history’) The purposes are twofold: Firstly, the insights gained will contribute to building a dedicated theory. Secondly, a praxeological approach will be used to rethink historical and political learning and to make it more needs-oriented and sustainable.

Project duration

 2024 - 2027 (second funding phase)