EduInf - Education in Informatics. - Erik Marx; Anne Hamann; David Baberowski; Christin Nenner; Antje Kazimiers; Thiemo Leonhardt; Nadine Bergner (GI-Jahrestagung, 2021)

Using Matchboxes to Teach the Basics of Machine Learning: an Analysis of (Possible) Misconceptions. - Erik Marx; Thiemo Leonhardt; David Baberowski; Nadine Bergner (Teaching ML, 2021)

Brief Summary of Existing Research on Students' Conceptions of AI. - Erik Marx; Thiemo Leonhardt; Nadine Bergner (WiPSCE, 2022)

Einstieg in den ML-Workflow durch Entwicklung einer intelligenten Museumsapp. - Erik Marx; Nadine Bergner (GI-Jahrestagung, 2023)

Exploring Students' Preinstructional Mental Models of Machine Learning: Preliminary Findings. - Erik Marx; Thiemo Leonhardt; Nadine Bergner; Clemens Witt (ISSEP (Local Proceedings), 2023)

Maschinelles Lernen in der Sekundarstufe I erlebbar machen: Workshop-Konzept zur Entwicklung einer intelligenten Museumsapp. - Erik Marx; Nadine Bergner (INFOS, 2023)

Workshop: Künstliche Intelligenz im Informatikunterricht - Praxisperspektiven im Gespräch. - Lea Schönberger; Erik Marx; Nadine Bergner (INFOS, 2023)

Secondary school students' mental models and attitudes regarding artificial intelligence - A scoping review. - Erik Marx; Thiemo Leonhardt; Nadine Bergner (Comput. Educ. Artif. Intell., 2023)

From Guesswork to Game Plan: Exploring Problem-Solving-Strategies in a Machine Learning Game. - Clemens Witt; Thiemo Leonhardt; Erik Marx; Nadine Bergner (ISSEP, 2024)

Identifying Secondary School Students' Misconceptions about Machine Learning: An Interview Study. - Erik Marx; Clemens Witt; Thiemo Leonhardt (WiPSCE, 2024)