GenAI Guidelines for Teaching, Learning, and Assessment Project team members include:
- Lisa O’Regan, Centre for Teaching and Learning (Co-Project Lead – Staff Guidelines, AI Advisory Group Member)
- Aisling Flynn, Student Skills & Sucess (Co-Project Lead – Student Guidelines)
- Stephen McCarthy, Centre for Teaching and learning (GenAI Project Officer, AI Advisory Group Member)
- Adrian Kirwan, Critical Skills (AI Advisory Group Member)
- Alison Farrell, Centre for Teaching and Learning (AI Advisory Group Member)
- Sharon Tighe-Mooney, Centre for Teaching and Learning
- Alan Waldron, Student Skills & Success (AI Advisory Group Member)
- Susan Gottlöber, Academic Integrity Policy Representative (AI Advisory Group Member)
- HuiTian Li, 3rd year, Social Sciences
- Ventsislav Stoyanov, 3rd year, Social Sciences
- Grace Millington, 1st year, Science and Engineering
- Celestino Simon, 2nd year, Science and Engineering
- Mykhailo Symonenko, 2nd year, Science and Engineering
- Tadhg Creagh, 1st year, Science and Engineering
- Charles Piecyk, Final Year PhD, Arts and Humanities
- Roddie Mac Aonghusa, MSU VP Academic Affairs (AI Advisory Group Member)
Overview
The Working Guidelines for GenAI Use provide guidance on how staff and students might use GenAI tools at Maynooth University. The guidelines cover the basics of what GenAI is, what everyone needs to know, and various considerations for GenAI use in teaching, learning, and assessment.
The Staff Guidelines were circulated to Maynooth University Staff on September 3rd, 2024. The Student Guidelines will follow shortly, and will also be available on the Student Skills and Success website.
The Staff Guidelines are available here:
Maynooth University GenAI Working Guidelines for Staff (September 2024)
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Please note these are "Working" guidelines only, and may be updated following the pilot programme in Semester 1, 2024.
How we developed our staff and student guidelines
A landscape review was undertaken to understand how Higher Education Institutes (HEIs) are engaging with this new technological development and its impact on teaching, learning, and assessment. We examined HEI policies from Ireland, UK, USA, and Australia, as well as sources from around the rest of the world. This review was used to identify good practice across HEIs and was supplemented by engagement with academic literature, which together informed our approach to Maynooth University’s guidelines.
Staff Guidelines: Our Writing Process
The Project Team included AI Advisory Group members from the Centre for Teaching and Learning, Critical Skills, and Student Skills and Success, and adopted a collaborative writing sprint-based approach over a series of block days to develop and refine the guidelines. The process was guided with valuable insights from the Maynooth University Advisory Group at initial design, Draft 1, and Draft 2 stages. Further feedback on the Working Guidelines for Staff and Students will be sought from Teaching and Learning Committees and Academic Council throughout October 2024. This feedback will inform a further draft to be sent to the AI Advisory Group in the week of 11th-15th of November. Guidelines will be sent to Academic Council for final approval on, December 16th, 2024
Student Guidelines: Our Writing Process
The Student Guidelines are informed by the staff guidelines and adopted a student-led approach in which students and staff co-created distinct student guidelines. The writing group consisted of a range undergraduate and postgraduate students who represented a variety of disciplines. This process was carried out over a number of full-day sessions on campus.
Centering the student voice was a key component of this approach. Allowing students to identify what they needed to know and ensuring that guidelines not only met their needs but did so in an accessible manner—bearing in mind the many different levels of digital awareness among students coming into University for the first time, and the needs of those already studying.
Following this process, the draft student guidelines were sent to the University’s AI Advisory Group for feedback before further development by the student-lead writing team. They will be officially launched as a Student GenAI Portal, along with online resources hosted by Student Skills and Success, during Academic Integrity Week 2024, this October.
The Student Guidelines in document format are available here:
MU Student Working Guidelines For GenAI 2024
Information Session: Staff Guidelines for GenAI Use in Teaching, Learning, and Assessment.
This session is facilitated by the Centre for Teaching and Learning and will provide Maynooth University colleagues with a walkthrough of the new working staff guidelines for GenAI use in Teaching, Learning and Assessment . Key areas that will be covered include: GenAI essentials, considerations for use of GenAI in Teaching, Learning and Assessment, GenAI and academic integrity, and GDPR and privacy considerations. There will also be an opportunity for staff to ask questions about the guidelines.
Date: Friday, 13th September 2024
Venue: Online MS Teams
Time: 11.00 - 12.00
Register here
Information Session: Staff & Student Guidelines for GenAI Use in Teaching, Learning, and Assessment.
This hybrid session will provide Maynooth University colleagues with a walkthrough of the new working guidelines for GenAI use in Teaching, learning and assessment for students and staff. Guideline areas covered include: GenAI essentials, considerations for use of GenAI in teaching and assessment, how GenAI can be used to support student learning, GenAI and academic integrity, and GDPR and privacy considerations. There will also be an opportunity for staff to ask questions about the guidelines. This session is facilitated by the GenAI Guidelines project team. Note: Lunch will provided for in-person attendees.
Date: Thursday, 3rd October 2024
Venue: In person / online
Time: 12.30-14.00
Register here
Additional sessions will take place in November, and further information will be confirmed soon.
Topic: Assessment and GenAI
Date: Mid November
Topic: Academic Integrity and GenAI
Date: End November
If you have any queries or would like any further information on the 'GenAI Guidelines for Teaching, Learning and Assessment' project, please contact [email protected]
