Chalmers puts digitalisation and AI at the core of every programme
Chalmers has adopted a university-wide strategy that weaves digitalisation and AI into all programmes. The aim is simple: use AI smartly and responsibly to strengthen teaching, learning and critical thinking-during studies and into graduate careers.
According to Dean of Education Mikael Enelund, the strategy gives the university a clear way to make decisions in a fast-changing AI space. The intent is to take a leading role in higher education by treating AI as an integrated capability, not an add-on.
What the strategy covers
- Pedagogy and learning outcomes: clear expectations for AI knowledge and practice, across disciplines.
- Technology and infrastructure: access to tools that are safe, reliable and appropriate for academic use.
- Support for teachers and students: guidance, training and help desks that turn policy into usable practice.
- Ongoing updates: a stable direction that is reviewed regularly as AI tools and norms change.
What this means for educators
Every student will build a solid foundation in digitalisation and AI. Electives will offer deeper specialisation for those who want to push further-and contribute to future developments in the field.
Next steps focus on translating the strategy into concrete decisions: programme content, assessments, and learning environments that reflect authentic AI use. Expect clarity on where AI is encouraged, where it is limited, and how students should demonstrate their own thinking.
Student perspective: use AI to own your learning
Student staff member Victoria Granström, part of the working group, sees the strategy as a clear guide that keeps the whole university moving in the same direction. She also stresses the need to break it down into concrete elements-what we do, why we do it, and how it shows up in courses and teaching. The strategy will be updated over time to keep pace with change.
Her advice for exams and study prep is direct: treat AI as a tool for learning, not a shortcut. Start by deciding what you want to understand, then use AI to clarify concepts, check your reasoning, and get practice questions or feedback.
- Write a precise prompt. Say which course you're taking, what you already know, how you learn best, and what help you need.
- Ask for guidance, hints and critique instead of ready-made answers. Push for reasoning steps and examples.
- Use AI to create quizzes or variations on problems so you can test recall and transfer, not just recognition.
- Watch your own signals. If you lose track of what you truly understand, step back and reset.
Ethics and the human perspective stay central
The strategy gives equal weight to technology, ethics and the human perspective. Tools matter-but so does the risk of outsourcing thinking when stressed or tired.
Students are expected to use AI critically and responsibly, keep their own judgement sharp, and show their reasoning. Educators are expected to model this in course design, assessment and classroom norms.
From strategy to practice: actions you can take now
- Map your learning outcomes to AI skills: prompting, evaluation, verification, and documentation of process.
- Design assessments that surface student thinking: versioned drafts, oral defenses, data and prompt logs.
- Publish clear AI use policies per course, with examples of acceptable and unacceptable use.
- Offer low-friction faculty support: quick-start guides, reusable prompts, and short workshops.
- Provide students with structured study workflows that include AI for feedback, not final answers.
- Invest in safe, institution-backed tools and storage. Prioritise privacy, academic integrity and accessibility.
- Create feedback loops: gather data on what's working, then iterate each term.
Helpful resources
- AI Learning Path for Teachers - practical training and implementation ideas for course teams.
- UNESCO: Guidance for generative AI in education and research - policy and classroom considerations.
- U.S. Department of Education: AI and the Future of Teaching and Learning (2023) - recommendations for safe, effective use.
Bottom line
AI is becoming a normal part of study at Chalmers. With a clear strategy, practical support, and a strong ethical stance, educators can help students learn with AI-while protecting the one skill they can't outsource: thinking for themselves.
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