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Student sits at workstation and looks at laptop. © Aliona Kardash​/​TU Dortmund
Collaborative Research

Agile PAIR Funds Six New Collaborative Research Projects

Icon of the globe with a opened book © Karolin Kriesch​/​TU Dortmund
Agile PAIR funds six new collaborative research projects that bring together researchers from different disciplines at TU Dortmund University to advance innovative approaches in intervention and prevention research.

The interdisciplinary research center Agile Prevention and Intervention Research (Agile PAIR) at TU Dortmund University has approved six new collaborative research projects. The projects will run for periods between six and twelve months and bring together researchers from several faculties as well as external partner institutions. A key goal of the funding line is to strengthen collaboration among principal investigators affiliated with Agile PAIR. Most of the projects involve researchers from different disciplines within the center who jointly develop methodological and applied research approaches at the intersection of education, psychology, and statistics.

The funded projects address a wide range of topics, including motivational development in higher education, statistical methods for repeated-measures data, the use of learning process data for diagnostic decisions, and artificial intelligence methods for analyzing student texts. Several projects focus on methodological innovations such as advanced statistical inference methods, machine learning approaches, and automated analysis of longitudinal data.

The six funded projects are:

- Strengthening self-efficacy expectations in the context of sustainability, led by Janin Brandenburg (Department of Rehabilitation Sciences) together with Stephan Heinzel (Department of Educational Sciences and Psychology) and Marcia Klinger (Department of Rehabilitation Sciences).

- Randomization-based inference in nonparametric repeated measure models with missing data, led by Dennis Dobler and Paavo Sattler (Department of Statistics) in collaboration with Jörg-Tobias Kuhn (Department of Rehabilitation Sciences).

- Motivational development trajectories at the beginning of university studies and their relevance for dropout intention formation (MoVa), led by Olga Kunina-Habenicht and Steffen Wild (Department of Rehabilitation Sciences) together with Markus Pauly (Department of Statistics) and Robert Grassinger (University of Education Weingarten).

- Optimizing the use of learning trajectory data from the EULe project for diagnostic decisions, led by Philipp Doebler (Department of Statistics) together with Janin Brandenburg, Jan Kuhl, Olga Kunina-Habenicht, Sarah Schulze, Michael Schurig, and Anke Hußmann (all Department of Rehabilitation Sciences).

- Changes in preservice teachers’ professional vision during a video-based intervention: Is automated coding of longitudinal text data sensitive enough?, led by Jasmin Bauersfeld and Bernadette Gold (Department of Educational Sciences and Psychology) together with Philipp Doebler (Department of Statistics).

- AI-supported analysis of written expression of students in grades 3 to 6 (TschAu-KI project), led by Janin Brandenburg (Department of Rehabilitation Sciences) and Philipp Doebler (Department of Statistics) in collaboration with Claudia Mähler, Luyen Hoang, and Lisa Miller (University of Hildesheim).

By supporting these short-term collaborative projects, Agile PAIR aims to foster interdisciplinary exchange, develop innovative research ideas, and strengthen cooperation among its principal investigators and partner institutions.

 

Contact: agile-pair@tu-dortmund.de