Designing Learning Outcomes in the Age of AI
How do your intended learning outcomes hold up in an AI‑rich world? In this hands‑on workshop, you will take a fresh look at your own learning outcomes and explore how generative AI affects what you ask students to know and do.
Course details
During the workshop, you will reflect on how generative AI influences the formulation and alignment of learning outcomes in your teaching, work with structured questions and lenses to analyse outcomes for different purposes (such as knowledge, reasoning, skills and products) and their relevance, and apply these criteria to your own ILOs to identify where they need clarification, strengthening or re‑orientation, leaving with concrete ideas for targeted improvements and next steps you can bring back into your course or team. You can choose to work with ILOs at the level that is most relevant to you – from programme‑level outcomes to course‑ or lesson‑level goals – and the session is designed for individual teachers who want to participate more confidently in programme or team discussions about (re)designing ILOs, whether or not they formally “own” the outcomes on paper.
Intended learning outcome
- Reflect on how generative AI influences the formulation and alignment of learning outcomes in their teaching.
- Apply structured questions or lenses to analyze learning outcomes for different purposes to enhance their alignment and relevance.
- Analyze their own Intended Learning Outcomes using structured criteria to identify areas needing clarification, strengthening, or re-orientation, and propose targeted improvements or next steps.
Good to know
| Target audience | UvA teaching staff | |
| Preparation | If you do not have your BKO then completing the Basic Didactics elearning (with particular attention to Module 1 and 2) will be helpful, but it’s not a requirement. Also, see FAQ. | |
| Prior knowledge | You should have a basic understanding of what GenAI is and how it works in broad terms; if you are new to AI, we recommend completing the AI elearning or an introductory workshop beforehand. It is helpful, to have some initial thoughts about how AI might affect your discipline and the professional or graduate attributes that matter in your context, and the session itself will support you in thinking these questions through more systematically. | |
| Language | English | |
| Trainer | Jacqui Edwards (TLC Central, GenAI Living Lab) | |
| Participants | Minimum of 8, maximum of 20 participants | |
| Dates |
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Frequently asked questions
This workshop is for individual teachers from any discipline who are curious about how generative AI affects their learning outcomes and want to engage more confidently in course or programme discussions about ILOs, whether or not they are formally responsible for writing or approving them.
No. The session is explicitly designed for people who want to participate in, or influence, team decision‑making around learning outcomes in an informed way, even if they do not have the final say themselves.
No specialist expertise is required. We briefly introduce key ideas about generative AI and learning outcomes, then guide you through structured questions and examples. A basic familiarity with your own course and its goals is enough.
Please bring 2–4 Intended Learning Outcomes from a course you are involved in (these can be draft or existing ILOs). If possible, also bring a laptop or tablet so you can access course documents and make notes for yourself as you work.
You will be better able to reflect on how AI influences the formulation and alignment of learning outcomes in your teaching, use structured lenses to analyse ILOs for different purposes, and identify concrete improvements or next steps for your own course, which you can then discuss with colleagues or programme leaders.
No changes are made automatically. The workshop helps you generate well‑reasoned suggestions and options for revising or refining ILOs. Any formal changes still go through your usual programme or faculty processes.
No. The examples and tools we use are discipline‑neutral, and you will apply them to your own context. Participants typically benefit from hearing how colleagues in other fields are rethinking outcomes in an AI‑rich environment.
We focus on pedagogical reasoning and structured analysis of ILOs, and may demonstrate or discuss the role of AI tools as part of that conversation, but the core of the session is dialogue and guided work with your own learning outcomes.
Registration
The course is funded from central funds. Signing up is not non-committal, we will count on your participation.
- Registration buttons for employees with an @UvA.nl email address:
- For AUC, ACTA or FdG (AMC) employees: send an email with your name, faculty and date for which you want to register to tlc-centraal@uva.nl
After registering, you will receive an automated invitation for your Outlook calendar (please don’t forget to accept). If the location is not yet known at that time, an update will follow later.
A proof of participation is available upon request. Please send an email to tlc-centraal@uva.nl after the course.
More information?