EMPOWERING EDUCATORS AT
COPENHAGEN BUSINESS SCHOOL
COPENHAGEN BUSINESS SCHOOL
Workshop 2 – How do you design learning activities with and without AI?
| How can you design a learning activity so that students engage in the disciplinary work they need to learn from – while allowing AI to contribute where it makes pedagogical sense? This workshop is one of three workshops that were offered across CBS departments in autumn and winter 2026–2027. The three workshops are now being offered across CBS for faculty who were unable to attend one or more of them in their department, as well as for other interested CBS teachers.Students can use AI to explain, analyse, suggest ideas and structure their work. This can support learning, but it can also take over parts of the disciplinary work that students need to engage in themselves in order to learn. The question is therefore not simply whether AI should be used, but how learning activities can be organised so that students actually engage in the work that matters for their disciplinary learning. In this hands-on workshop, you will work with one concrete learning activity from your own course. You will first clarify what students should learn and which disciplinary work they need to engage in themselves in order to develop these capabilities. You will then consider how the activity can be organised and what role, if any, AI should have. You will work on: – designing the learning activity so that students have opportunities to engage in the disciplinary processes that matter for their learning, such as investigating, practising, reflecting, justifying or evaluating – exploring different learning-design possibilities: keeping selected parts of the learning work AI-free, using AI to challenge or support students, or using AI to open up new possibilities for, for example, investigation, variation and repeated practice – deciding where AI adds something valuable to the activity – and where all or part of the activity may work better without AI – sketching the concrete sequence of the activity: What do students do first and next? Where do peers, AI and the teacher contribute, where do students receive feedback, and what should students themselves do with these different contributions? – challenging and refining the design with colleagues throughout the workshop and examining whether the activities gives students sufficient opportunities to engage in the intended learning work – including when students use AI before, after or outside the activity in ways you have not planned. You will conclude by choosing a manageable first version of the design to try out and identifying what you want to observe or ask students about in order to better understand how the design works and what may need to be adjusted. You will also receive a question framework and a catalogue of learning-design examples that you can reuse when developing or redesigning learning activities with and without AI. The workshop assumes that participants have a basic understanding of AI and are familiar with CBS’ current rules and guidelines in this area. If you do not already have this background, you can complete an accompanying online introductory module in Canvas before the workshop and familiarise yourself with the relevant CBS materials. The workshop itself focuses on the pedagogical questions surrounding AI in teaching and learning. The Canvas room will be available to participants one week before the workshop. |
Target group
| CBS faculty who want to develop or redesign concrete learning activities with a focus on students’ active disciplinary work and on the role AI should – or should not – play. The workshop is relevant for faculty who already use AI in their teaching and for those who would like to explore where AI can contribute to learning – and where learning activities, or parts of them, may be better carried out without AI. |
Intended learning outcomes
After the workshop, you will have worked on:
- identifying the learning core of a concrete activity from your own course and the disciplinary work students need to engage in themselves in order to develop these capabilities
- organising a learning activity so that students have opportunities to engage in the intended disciplinary work
- exploring and justifying where AI can support, challenge or open up new possibilities for students’ disciplinary work, and where all or part of the activity may work better without AI
- sketching a concrete sequence in which students’ own work and contributions from AI, peers, the teacher and feedback each have a justified role
- formulating a manageable first version of the design to try out and deciding what you will observe or ask students about in order to inform subsequent adjustments
Workload: The workshop lasts two hours and takes place in person.
Preparation: There is no mandatory preparation. Please bring your course and the relevant learning objectives, as well as one concrete learning activity from your own teaching that you would like to develop or redesign during the workshop.
The 1st of April 2027, 09:30 – 11:30
Registration deadline: 25/03/2027
Date
- 01 Apr 2027
Time
- 9:30 am - 11:30 am
Category
Other Organizers
