In our research group, we investigate cognitive, motivational, and social aspects of learning by employing experimental research methods in laboratory and field studies. Our interests of research lie on 1) the effectiveness of different instructional approaches for learning by focusing on the benefits and disadvantages of errors and failure, 2) challenges during collaborative learning and impacts of different means of adaptive collaboration support (computer-supported collaborative learning, CSCL) in higher education, 3) problem-solving and learning processes in hardware reverse engineering, and 4) the role of emotional and social factors for academic success and career of students and researchers. For more details on the different projects, see the links below:

Third-party funded projects


DigiFit Logo

Digitale Fitness für Bürgerinnen und Bürger - realistische Risikowahrnehmung, sichere Routinen" (DigiFit)

Contact-person: Nikol Rummel

SecHuman Logo

SecHuman 2: Research Topic: Cognitive Aspects in Netlist Reverse Engineering

Contact-person: Markus Weber

DFG Logo

Investigating and Assessing Student Beliefs about Scientists within the Social Sciences and Humanities

Contact-person: Valentina Nachtigall

DFG Logo

Prior Knowledge Activation in Problem Solving Prior to Instruction: How do solution diversity and goal formulation affect learning?

Contact person: Charleen Brand

SeReLiDis Logo International network aiming at grounding a common agenda for international, interdisciplinary educational research (SeReLiDiS: Self-Regulated Learning in Digitalized Schools)

Project investigating theoretical and ethical issues arising in the context of new forms of social interaction between humans via social media and between humans and artificial intelligent systems. (INTERACT! : New forms of social Interaction with intelligent systems)


Excellenzcluster CASA - Research Topic: New Directions in Hardware Security through Cognitive Obfuscation [in Research Hub B, RC 4 (Platform Trojans), and Hub D, RC 10 (Engineers and Usability)]

Contact-person: Carina Wiesen

Leibniz Association Logo

Learning Progression Analytics – Analyzing Learning for Individualized Competence development in mathematics and science Education (ALICE)

Contact person: Sebastian Strauß


Analysis and promotion of learning pathways for the development of competences [Analyse und Förderung von Lernverläufen zur Entwicklung von Kompetenzen] (AFLEK)

Contact person:Sebastian Strauß