Vrije Universiteit Amsterdam — Faculty of Computer Science
This study investigates how learners experience cognitive load when studying tutorial materials with the help of an AI teaching agent and how can we adjust it. The findings will contribute to understanding and improving Human Computer Interaction and AI for Education.
The total study takes approximately 10-15 minutes.
We collect your chat messages, response times on attention tasks, quiz answers, questionnaire responses, and anonymised interaction metrics (e.g., typing patterns, tab switches). All data is linked to a randomly generated participant ID — no personally identifying information (name, email, IP address) is collected or stored.
The AI teaching assistant in this study is powered by DeepSeek, a third-party AI language model. Your chat messages are transmitted to DeepSeek's API solely to generate responses. No personally identifying information is included in these transmissions.
Your anonymised data will be stored securely and used solely for this research. All collected data will be deleted after the research is completed. Only the researcher and supervisors will have access to the raw data.
Your participation is entirely voluntary. You may withdraw at any time by closing the browser window, without giving a reason and without any penalty. If you withdraw, your data will not be used.
If you have any questions or concerns about this study, please contact the researcher at j.shi5@student.vu.nl before proceeding.