Collaborative Pathways to an AI‑Enabled Curriculum

Read full text
Authors: Kay Grieves
Cited by: 0

Abstract

This workshop draws on Teesside University Library’s role as one of five UK pilot institutions in Jisc’s Digital Transformation Through a Library Lens (DTLL) project . DTLL provides a strategic framework for developing academic digital and AI capability through a library‑centred lens, positioning the library as a key partner in creating an AI‑enabled learning environment. Teesside’s DTLL pilot focuses on strengthening AI‑related capability across the curriculum through collaboration with institutional stakeholders. Its goals are to:• Develop a student‑centred framework of AI skills and competencies aligned to module outcomes and future workplace needs• Explore the Library’s expanding role as an institutional hub for AI skills delivery, working with digital education teams, learning developers and academics• Shape digitally enabled Library spaces that support flipped and active learning• Experiment with pedagogies such as playful learning, co‑creation and peer learning to build student confidence and responsible AI use The workshop enables participants to explore how these themes translate within their own institutional context. Delegate Outcomes AI Skills for Curriculum Design Participants identify key AI skills that align with disciplinary outcomes, recognising where AI competency enhances critical thinking, creativity and professional practice. Cross‑University Collaboration Delegates consider how libraries, IT services, careers teams and academics can combine expertise to support AI learning through digitally enabled spaces and flipped approaches. Reframing AI Narratives Participants shift from deficit‑based narratives toward capability, ethical practice and future readiness. Micro‑Learning for AI Skills Delegates design short, practical AI activities—such as prompt‑refinement challenges or detecting hallucinations—that can be embedded in modules. Building Student Confidence and Curiosity Participants explore how playful learning, co‑creation and peer support can nurture confident, critical and curious AI use.

Fields of Study & Subjects

Library Science and Information Literacy Artificial Intelligence in Education Web and Library Services

Publication details

Publication date
6 February 2026