AI and Higher Education

In this workshop/seminar series, we explore generative AI in relation to higher education with a focus on its implications for teaching, student learning and university teachers. The starting point is a critical reflection on what the new technology can mean for the universities' mission and values, for the purpose, content and design of teaching, and what tensions can arise in the encounter between generative AI and academic practices and ideals.

Themes that will be explored are:

• How can I as a teacher in a meaningful way use AI tools for planning, designing, and implementing teaching?
• In what way can AI tools be integrated into learning activities, taking into account different disciplinary contexts and students' future professional practices?
• How can assessment be designed with regard to students' use of AI tools and what does this mean for our understanding of knowledge and assessment?
• How can we integrate different perspectives on AI and its use into course content in order to promote students' critical thinking and agency?
• How does the role of university teachers change with generative AI, and what aspects of our professional identity need to be protected?
• What might generative AI entail for higher education and how should we respond?

The workshops combine practical, exploratory elements with discussions, while for the seminars, we prepare by reading and reflecting on texts that are then discussed at the meetings. All meetings will, to a large extent, build on the participants' interests, questions, and experiences of AI and its effects on teaching and higher education. The goal is for participants to develop an in-depth and critical understanding of the relationship between generative AI, teaching and academia at large – and to be strengthened in their professional role in light of these changes.

The workshop/seminar series is primarily aimed at academic teachers or university employees with teaching assignments. Online participation is not possible.

Refreshments will be served at all workshops/seminars.

Registration for each workshop/seminar is required.
The last date to register is Feb 6, 2026.
Register here: AI and Higher Education: Workshop/seminar series spring 2026

Details about each workshop/seminar as well as (when applicable) instructions for how to prepare will be sent out to registered participants three weeks before.

Schedule for the workshops/seminars

Seminar: Introduction to AI in Higher Education

Rachel Forsyth, Unit for Educational Services
Date: March 3, 13.15-15.00
Place: M313, AHU, MNO-huset, Instrumentmakaregränden 1, Lund.

Content: An introduction to the topic AI in Higher Education. Presentation and discussions.
Preparations: Participants prepare for the seminar by reading a text that will be sent out beforehand.

Presentation with Q&A: Lessons Learned from 3 Years of Integrating Generative AI into First- and Second Cycle Education

Björn Svensson, Department of Informatics
Date: March 9, 13.15-15.00
Place: M313, AHU, MNO-huset, Instrumentmakaregränden 1, Lund.

Content: In this session Björn Svensson, director of studies at the Department of Informatics at Lund University School of Economics and Management, will share experiences from working with integrating Generative AI into education at Lund University. Expect to learn about approaches to AI policies, cheating, automation, using Large Language Models as tutors, and more. We will take a look at what worked, what did not, and we are looking forward to a discussion where we can share experiences and lessons between colleagues.
Preparations: TBA

Workshop: Using AI Tools for Lesson Planning or Presentations – Exploration and Discussion

Marita Ljungqvist & Anders Sonesson, AHU
Date: March 17, 13.15-15.00
Place: M313, AHU, MNO-huset, Instrumentmakaregränden 1, Lund.

Content: In this workshop, participants get to create lesson plans or presentations (for lectures, for example) around a specific theme (of their choice, relevant to their own teaching) using an AI tool. The participants prompt the tool based on instructions and then we reflect together on the outcome and discuss advantages and disadvantages of using AI tools for these purposes.
Preparations: 1) Choose a theme or topic that is relevant for your teaching (i.e. something you teach and have some expertise in) and that you want to develop a lesson plan for and/or presentation on using genAI tools. 2) Think of criteria that could be used to evaluate the genAI tool output, e.g. in terms of its correctness, nuance, bias, suitability for the target group, and pedagogical concerns. Bring the notes with you to the workshop.

Workshop: Perspectives on AI Futures 1  

Magdalena Petersson McIntyre & Robert Willim, Department of Arts and Cultural Sciences
Date: April 8, 13.15-16.00
Place: M313, AHU, MNO-huset, Instrumentmakaregränden 1, Lund.

Content: In two workshops we will probe some taken-for-granted and often overlooked dimensions of emerging technologies such as AI.
Preparations: TBA

Workshop: Perspectives on AI Futures 2

Magdalena Petersson McIntyre & Robert Willim, Department of Arts and Cultural Sciences
Date: April 22, 13.15-16.00
Place: M313, AHU, MNO-huset, Instrumentmakaregränden 1, Lund.

Content: In two workshops we will probe some taken-for-granted and often overlooked dimensions of emerging technologies such as AI.
Preparations: TBA

Seminar: What Does AI Mean for Universities, Academic Teachers and Teaching and Learning? Critical Perspectives.

Marita Ljungqvist & Anders Sonesson, AHU
Date: April 28, 13.15-15.00
Place: M313, AHU, MNO-huset, Instrumentmakaregränden 1, Lund.

Content: In most societal sectors, high hopes are placed on GenAI to solve a range of difficult problems and provide the means for positive development. For HE, GenAI is often portrayed as a solution to the ‘Socratic bottleneck’ by providing students with a personalized study partner, always available to help them in their learning and for producing academic texts and artefacts, and by alleviating ‘Socrates’ himself (the HE teacher) from routine or administrative tasks and free up time for more productive and creative use. In this seminar, we take a critical look at the promises of GenAI for HE, teachers, teaching and learning, and also discuss underlying assumptions, imaginaries, and ideological, material and managerial interests.  
Preparations: Three weeks before the seminar, texts will be e-mailed to participants to read in preparation for discussions.