Student Assistant (m/f/d) in the Individual Development and Adaptive Learning Lab

We are looking for a dedicated individual to join the GLARA project: Generative Learning Activities and the Role of Agency in digital environments, starting on September 2026.

Student Assistant (m/f/d)

Generative Learning | 20 hours / month | initially limited to 6 months | from September 2026

The Individual Development and Adaptive Learning Lab (IDEAL) focuses on the development of learning and self-regulation in the context of digital media and adaptive learning environments. The GLARA project focuses on the added value of different generative learning activities in a digital scenario and how agency influences the learning outcomes.

What to expect:

• Assisting with the design, preparation, and conduct of studies (possibly including eye-tracking studies)

• Helping to develop research materials

• Computer-assisted data collection data curation and analysis (using R or Python)

• Recruiting participants

• Conducting literature research

What you need to bring:

• Currently pursuing Bachelor’s or Master’s degree in psychology, educational sciences, cognitive science, or related fields

• Interest in interdisciplinary research at the intersection of psychology and learning sciences

• Interest in the topic of “AI and digital tools in education and self-regulated learning”

• Knowledge of research methodology and statistics

• Interest in the design and evaluation of digital learning environments and in eye-tracking studies

• Very good German and English language skills (at least professional proficiency)

What you can expect from us:

• You can expect a varied and diverse range of tasks at an interdisciplinary and internationally oriented research institute in a central location in Tübingen

• We provide interesting and meaningful insights into the field of educational psychology and educational technology. We offer intensive academic supervision and the opportunity for further training in process-based research methodologies (e.g., log data, eye tracking)

• Flexible working hours that are easily combinable with your studies