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Workshop: AI and examination (14/9)

Increased access to powerful AI brings new opportunities and challenges for how we approach assessment and evaluation. In this workshop, we will review research on AI and assessment and highlight strategies to minimize the risk of AI‑related misconduct in examinations. You will also get the opportunity to discuss and reflect together with colleagues at KTH on generative AI and its impact on examination processes.

Time: Mon 2026-09-14 13.00 - 15.00

Video link: Zoom

Language: English

Participating: E-learning

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Target audiece

Teachers and examiners at KTH who work with assessment and want to understand and manage the impact of generative AI in their grading practices.
Prior experience with generative AI is an advantage.

Preparation for the workshop

Register at registration form

Try solving one of your exam tasks with a generative AI tool and OpenAI's guide for “Prompt engineering” (eng, platform.openai.com). KTH recommends Microsoft Copilot Chat .

Do you want a workshop about a different topic?

If the workshops that are planned do not cover your needs, you can request your own workshop from E-learning for you and your colleagues. You can choose a workshop that has already been developed or request a new one.

More about booking workshops from E-learning

Purpose  

You, as a teacher, will get the opportunity to discuss and reflect with other colleagues at KTH about generative AI and its impact on examination processes. we will review research on AI and assessment and highlight strategies to minimize the risk of AI‑related misconduct in examinations.

How the workshop is conducted

The workshop alternates between lectures and active moments where participants collaborate and discuss in small groups. Remember that the workshop depends on active participation and everyone's ideas and perspectives are valuable!

Learning objectives

After completing the workshop, participants should be able to:

  • Identify opportunities and challenges related to generative AI and assessment, for example, in the design, execution, or grading of examinations.

  • Reflect on how you, as a teacher, can design examinations that guide students away from AI‑related misconduct.

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