Gerrit Anders

Gerrit Anders is a scientific researcher and doctoral student at the Leibniz-Institut für Wissensmedien (IWM) in Tübingen, Germany, affiliated with the Perception and Action lab. He has been a member of the institute since January 1, 2023, and contributes to multiple interdisciplinary research projects at the intersection of psychology, education, and artificial intelligence.

Education:

• B.Sc. in Physics, Ruprecht-Karls-Universität Heidelberg (2016)
• B.Sc. in Psychology, Ruprecht-Karls-Universität Heidelberg
• M.Sc. in Physics, Ruprecht-Karls-Universität Heidelberg (2021)

His research focuses on video perception, mind wandering, event segmentation, emotional narration, and metacognition. He explores how the structure of videos influences learning and perception, and how artificial intelligence can support self-regulated learning. His work integrates machine learning methodologies to analyze behavioral and psychological data, particularly in educational contexts.

The recent publications of Gerrit Anders reflect a strong trend in applying AI and computational methods to psychological and educational research. Key themes include human-AI interaction, misinformation, self-regulation in video learning, and large-scale analysis of online behavior. His software tools (e.g., mGPT, whisperTranscriber, SponScraper) demonstrate a commitment to open science and technical innovation.

Scientific Awards:

• No awards explicitly mentioned.

Gerrit Anders actively supervises and collaborates on research, though no formal advisees are listed. He has contributed to projects funded by institutional and collaborative grants, including longitudinal studies on human-AI interaction and educational AI applications. He has developed software and shared datasets, indicating active involvement in grant-supported open research initiatives.

Labs and Teams:

He is a core member of the Perception and Action lab and collaborates across multiple IWM labs, including Multimodal Interaction, Everyday Media, and Knowledge Construction. He co-organizes the Video-SRS workshop series, fostering collaboration in video-based learning research.