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
Introduction to GenAI and Assessment Practice
This online session will explore considerations for GenAI use at programme, department, module and individual assessment levels. The workshop will be facilitated by Stephen McCarthy (CTL) and Adrian Kirwan (Critical Skills).
As part of this session, we will discuss short-term, medium-term ongoing actions staff can take to enable constructive integration of GenAI in assessment, while also mitigating against potential misuse.
Date: Monday, February 10th. 2025
Time: 14.00 - 15.00
Venue: Online MS Teams
Register Here
Information Session: MU GenAI Guidelines
This online session will highlight key areas of the staff and student Guidelines for GenAI use in Teaching, Learning and Assessment.
The session will be facilitated by Stephen McCarthy (CTL) and Adrian Kirwan (Critical Skills).
We will discuss recent updates relating to:
- GDPR
- The EU AI Act
- Turnitin AI Detection capabilities
Date: Friday, February 28th 2025
Time: 12.00 - 13.00
Venue: Online MS Teams
Register Here
MU GenAI Community of Practice Lunchtime Meet Ups
As part of our GenAI project, we are delighted to initiate a GenAI Community of Practice, which will run on the second Thursday of each month from 1.00 pm - 2.00 pm.
Beginning on February 13th, the GenAI project team will facilitate an informal community of practice meetup where staff can discuss approaches, and share ideas and resources, regarding GenAI in teaching, learning and assessment.
The meet ups will be in person, and will take place in SE229, School of Education. Lunch will be provided, and no registration is necessary.
Lunchtime Meet Ups will take place as follows:
- Thursday, February 13th, 1.00 pm - 2.00 pm
- Thursday, March 13th, 1.00 pm - 2.00 pm
- Thursday, April 10th, 1.00 pm - 2.00 pm
- Thursday, May 8th, 1.00 pm - 2.00 pm
This project is funded by the Strategic Alignment of Teaching & Learning Enhancement Fund in Higher Education (SATLE).
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]
