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GeschAIt

A contribution to empirically based theory formation in the field of human-machine interaction with Generative Artificial Intelligence in historical-political education

The doctoral project GeschAIt is situated within the Department of Media Transformations at the Leibniz Institute for Educational Media | Georg Eckert Institute (GEI). The aim of the project is to make an empirically grounded contribution to theory-building in the field of human-machine interaction within historical-political education. To this end, suitable tasks for addressing historical-political topics using (text-)generative artificial intelligence (AI) are developed through participatory expert interviews involving pupils, teachers, education specialists, and prompt engineers.

Following this, the developed task material is worked on by pupils in the GEI’s digital lab, the “Basement”, using generative AI within a specially designed teaching/learning environment. The task processing is ethnographically observed, guided by socio-cultural practice-theoretical premises. Particular attention is given to pupil practices in dealing with generative AI in order to characterise them in the postdigital age at the intersection of everyday digital practices (“doing AI”) and subject- and task-specific practices in historical-political education (“doing history”).

On the one hand, the findings are intended to contribute to the development of theory. On the other, the project seeks to reconceptualise historical-political learning through a praxeological approach, aiming to make it more responsive to learners’ needs and more sustainable.

 

 

Project duration

 2024 - 2027 (second funding phase)