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AI and Teaching at Marjon Working Group: Overview

Coordinating our Institutional Response to Generative AI

MALT Homepage > AI and Teaching Working Group

Our Mission & Context

Since the release of ChatGPT in December 2022, higher education has had to rapidly respond to the implications of widespread, easily accessible generative AI. This new landscape presents both challenges and opportunities, including the need to uphold academic integrity principles, support staff and students in digital literacy and capability development, and investigate how AI can enhance the day-to-day tasks of higher education work.

The AI and Teaching at Marjon Working Group was established to provide a coordinated, cross-institutional response to these developments, ensuring we harness the potential of AI while safeguarding our academic standards and values.

Working Group 2025-26

Our Aim

To form a group that can advise on the institutional response to widespread AI access. The group aims to highlight areas where work is needed and to efficiently produce resources and create opportunities whereby all staff can benefit in terms of ongoing continued professional development.

Group Structure

The group is led by Ben Jane and overseen by Prof Jennie Winter. Leadership support is provided by Miles Smith (Partnerships).

Group members are drawn from across campus and include any teaching or faculty staff that have expertise and/or interest in being part of the group.

Governance & Scope

Working under the supervision of Prof Jennie Winter, the group reports to TLAQC and is linked to the work of MALT.

The group serves as a focal point for all teaching and learning related work involving generative AI, including Academic Integrity, Assessment Practice, and Digital Capability of Staff and Students.

Working Group Members 2025-26 [Invites to be sent out mid-Nov 2025]

Colleagues are invited to get in touch with Ben Jane if they wish to be part of this initiative

Group Leadership

Prof Jennie Winter
Ben Jane (Group Leader)
Miles Smith (Partnerships)

Group Members

Ian Stonebridge (expert user)
Lisa Brimacombe-Wright (Quality rep)
Raisa Burton (library)
Tom Nicholls (library)
Jayne Garcia (Education)
Lee Ballard (Sport & expert user)

Group Members

Michelle Rounce (Study Skills Plus)
Joanna Rowlands (Study Skills Plus)
Student Union Member
Lynne Wyness (MALT)
Hannah Holdgate (Education & Partnerships)
Steve Disney (Partnerships)

How We Work

Our Approach & Responsibilities

Central Hub & Review

The group acts as a hub for improving AI-related teaching policy and provision. We peer-review and assist in developing new policy and resources, and all committees are encouraged to engage with us on AI-related matters.

Resource Development

We maintain and enhance this Canvas page as the central hub for all AI-related resources, guidance, and information for the Marjon community.

Project Leadership

Group members are encouraged to suggest and lead related projects under the group's auspices, fostering innovation and ownership.

Institutional Memory

We maintain an annual list of group-related work, creating an institutional memory of our AI journey and developments.

Examples of Our Work

Community of Practice workshops
Sharing of resources and good practice
Liaising with partner providers
Updating academic integrity guidance
Developing marking guidance for AI-era assessments
Creating digital capability frameworks
Peer-reviewing assessment design

Communication & Engagement

Group members act as conduits between faculty members and the working group, feeding concerns and requests into the group while also promoting and signposting resources from the group to colleagues across the institution.

Get Involved: If you're interested in contributing to the work of the AI and Teaching Working Group, please contact Ben Jane or speak to anyone on the group already.

Related Resources

Current Activities

View our scheduled activities and completed projects for the current academic year.

View Activities →

Academic Integrity

Explore our frameworks and guidance for maintaining academic integrity in the age of AI.

View Resources →

AI Working Group on Antler

Access historical updates and background information on the SharePoint site.

Visit Antler →