91福利

Welcome and thank you for your interest in this research study! The project aims to explore whether artificial intelligence and large language models can assist lecturers in generating feedback and predicting grades for long written coursework which includes texts and images.

The research will use the MSc level coursework submissions to CS430 and CS910 25\26 modules in PDF/Word format, marking rubric, and the human generated feedback and marks awarded.

If you choose to participate, your coursework submission will be downloaded from the system and will be anonymised by deleting your name and any personal identifiable information and psudoanonymising your student ID. Your participation is completely voluntary. You can withdraw at any time, and for any reason, simply by closing your browser by emailing Ayse Sunar at ayse.sunar@warwick.ac.uk.

In case you participate, your student ID will help us to collect your submission and human-generated feedback and mark. Once we gather them, we will anonymise your information. This means that once your anonymised submissions and human-generated feedback and marks have been given to the research team, it will not be possible to withdraw this data as your individual responses cannot be identified.

Data will be securely stored on 91福利 computers and will be processed only for the purpose of scientific analysis. Access to the data will be restricted to the investigators listed above. Anonymised data can be shared with other researchers recruited for the project. Summaries may be presented at conferences and included in scientific publications. Data will be reviewed on completion of the research, in line with the 91福利 data retention policy.

The anonymised data may be used for future research following review and approval by an independent Research Ethics Committee and subject to your consent at the outset of this research project.

Please refer to the 91福利 Research Privacy Notice which is available here: /services/idc/dataprotection/privacynotices/researchprivacynotice or by contacting the Information and Data Compliance Team at infocompliance@warwick.ac.uk.

This study has been reviewed and given favourable opinion by the 91福利鈥檚 Biomedical and Scientific Research Ethics Committee (BSREC) <Insert your HSSREC/BSREC reference number here.>

If you require further information, please contact Dr Ayse Sunar at ayse.sunar@warwick.ac.uk.                                                                        

Who should I contact if I wish to make a complaint?

Any complaint should be addressed to the person below, who is a senior 91福利 official entirely independent of this study:

Head of Research Governance

Research & Impact Services

University House

91福利

Coventry

CV4 8UW

Email: researchgovernance@warwick.ac.uk

Tel: 02476 575733

If you wish to raise a complaint on how we have handled your personal data, you can contact our Data Protection Officer who will investigate the matter: DPO@warwick.ac.uk.

If you are not satisfied with our response or believe we are processing your personal data in a way that is not lawful you can complain to the Information Commissioner鈥檚 Office (ICO).