Intelligent Learning in XR: Adaptive AI Tutoring and Neurofeedback to Enhance Cognitive Engagement.
Peter Varga, School of Computing and Engineering
Email: peter.varga@uwl.ac.uk
Thank you for your interest in this multidisciplinary research study. Before deciding whether to take part, it is important that you understand the purpose of the research and what your participation will involve. Please take some time to read the following information carefully and discuss it with others if you wish. Participation in this research is entirely voluntary, and you may withdraw at any time without giving a reason. Please only take part if you genuinely wish to do so. Should you choose not to participate, we thank you for your time and for considering this information.
This experimental study explores an adaptive XR classroom that integrates a real-time AI tutor and neurofeedback technology. Depending on the cohort you are assigned to, you may interact with a conversational AI; please note that not all sessions include this feature. Following a short introductory guide and the setup of the XR headset and brain–computer interface (BCI) device, you will enter a mixed-reality learning environment and participate in a 30-minute learning session on a specific subject. During the session, neurological data may be collected, depending on the experimental setup, to provide information about your cognitive state and to support the development of an AI tutor that delivers more personalised guidance to users. The session will also be displayed on a shared monitor so that the principal investigator can observe the entire process.
If you experience any discomfort, motion sickness, dizziness, or eye strain during the session, please remove the headset immediately and inform the researcher.
Participating in this study will take approximately one hour in total. You will begin with a short pre-test knowledge quiz to assess your initial understanding of the subject. After a brief user guide and the setup of the EEG and XR headset, you will enter a mixed reality environment where you will learn through interactive 3D objects. The XR session, including data collection, will last around 30 minutes. Following the session, you will complete a short post-test knowledge quiz to assess what you have learned during the session.
After analysis the of results of the study will be presented at conferences and written up in journals. Results are normally presented in terms of groups of individuals rather than on one individual. However, if any individual data are presented, the data will be totally anonymous, without any means of identifying the individuals involved.
The completion of this experiment requires the collection of some personal information. The personal information you provide will be used solely for the purposes of this experiment and will not be used for any other purpose. All data will be stored on a password-protected pen drive and/or in a password-protected cloud account, accessible only to the principal investigator and the supervisory team. All personal and EEG data will be anonymised prior to any publication to ensure complete confidentiality. The data will be retained for five years following the completion of the PhD project (September 2031) and will then be securely destroyed. All data will be collected and stored in accordance with the Data Protection Act.
If you have any questions or concerns about how the experiment has been conducted, please contact the Principal Investigator, Peter Varga (peter.varga@uwl.ac.uk) or the supervisory team: Principal Supervisor: Dr Malte Ressin, (malte.ressin@uwl.ac.uk), Secondary Supervisor: Professor Julie Wall (julie.wall@uwl.ac.uk), Third Supervisor: Dr Jason Clarke (jason.clarke.uwl.ac.uk) Thank you for supporting me in this PhD research.
This study has been approved by the University of West London Research Ethics Committee, University of West London, St Mary’s Road, Ealing, London, W5 5RF