https://medienbildung.team/research/theses/Recent content in Theses on Working Group on Educational Theory and Practices of Critical Computational LiteracyHugo -- gohugo.ioen-USmail@medienbildung.team (Working Group on Educational Theory and Practices of Critical Computational Literacy)mail@medienbildung.team (Working Group on Educational Theory and Practices of Critical Computational Literacy)© 2026 Working Group on Educational Theory and Practices of Critical Computational LiteracyThu, 20 Aug 2026 00:00:00 +0000https://medienbildung.team/research/theses/mensch-und-maschine-im-atelier/Thu, 20 Aug 2026 00:00:00 +0000mail@medienbildung.team (Working Group on Educational Theory and Practices of Critical Computational Literacy)https://medienbildung.team/research/theses/mensch-und-maschine-im-atelier/In an interdisciplinary ethnographic study, Juliane Koglin shows how creativity and mediality are renegotiated in a world shaped by algorithms and emergent processes — and what computational technologies mean for processes of articulation and subjectivation in creative and artistic practices.https://medienbildung.team/research/theses/digitale-kollektive/Tue, 11 Aug 2026 00:00:00 +0000mail@medienbildung.team (Working Group on Educational Theory and Practices of Critical Computational Literacy)https://medienbildung.team/research/theses/digitale-kollektive/This habilitation project asks how a theory of Bildung can be reformulated under the conditions of a culture of digitality. Its focus is the notion of the in-between as a space of the undecided — a space that dwindles in binary-algorithmic structures, and with it the basis of a critically reflexive relation to oneself, to others, and to the world.https://medienbildung.team/research/theses/co-constructive-interaction/Mon, 10 Aug 2026 00:00:00 +0000mail@medienbildung.team (Working Group on Educational Theory and Practices of Critical Computational Literacy)https://medienbildung.team/research/theses/co-constructive-interaction/This doctoral project investigates how explanations can be developed jointly in the interaction between humans and large language models. Building on hybrid interaction systems, explanation as a social practice, and AI literacy, it develops the concept of co-constructive prompting: an iterative process of examining, refining, and extending generated explanations. Three exploratory studies trace how users organize, monitor, and reflect on their interaction with LLMs.