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LH240V Generative AI for Learning and Teaching in Higher Education 3.0 credits

This course supports teachers in responding constructively to the rapid rise of generative AI by demystifying the technology and giving them back a sense of control. Participants will learn about how Generative AI works and how it can be used in ways that enhance their teaching practices and their students’ learning and overall course experience, with explicit attention to educational, legal, and ethical aspects of AI use. The course will equip teachers to make informed decisions about when and how to integrate AI, as well as how to evaluate its impact in their own courses. With this skillset, teachers will no longer be dependent on institutional rules or mandates alone, but will be prepared to confidently navigate and experiment with emerging AI innovations in an uncertain future.

Information per course offering

Choose semester and course offering to see current information and more about the course, such as course syllabus, study period, and application information.

Termin

Information for Autumn 2026 Start 9 Sept 2026 course for KTH staff

Course location

KTH Campus

Duration
9 Sept 2026 - 21 Oct 2026
Periods

Autumn 2026: P1 (3 hp)

Pace of study

33%

Application code

12617

Form of study

Normal Daytime

Language of instruction

English

Course memo
Course memo is not published
Number of places

15 - 30

Target group
No information inserted
Planned modular schedule
[object Object]
Part of programme
No information inserted

Contact

Examiner
No information inserted
Course coordinator
No information inserted
Teachers
No information inserted

Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus LH240V (Spring 2026–)
Headings with content from the Course syllabus LH240V (Spring 2026–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

The course aims to strengthen the role of the teacher in higher education in light of the ongoing technological developments surrounding generative AI and related technologies. These developments will influence how higher education can be meaningfully conducted. The main themes of the course are:

  • An introduction to and basic technical overview of generative AI, from a higher education pedagogy and ethical perspective

  • AI literacy: the ability to create, evaluate, and improve learning materials generated by generative AI tools

  • Learning with and from AI – how AI can be used to promote learning

  • Assessment and examination in relation to generative AI

Intended learning outcomes

The course aims to provide teachers with a research-informed, practical, and ethically grounded understanding of generative AI in higher education. Participants develop AI literacy (the ability to create, evaluate, and improve AI-generated material) and learn how to design learning activities and assessments for an anticipated future in which generative AI is widely available.

After completing the course, participants should be able to:

  1. discuss and critically examine the use of generative AI tools to support student learning within their own subject area, drawing on educational research and/or subject didactics

  2. reflect on pedagogical advantages and disadvantages, as well as the risks and opportunities associated with generative AI in higher education, and use generative AI tools to develop learning resources within their own subject area

  3. relate to legislation and guidelines, and reflect on ethical aspects of their own use of AI when designing and implementing teaching activities that involve AI tools

  4. discuss and critically examine the use of generative AI tools in the design and implementation of assessment and examination within their own subject area

Literature and preparations

Specific prerequisites

Completed course LH231V or equivalent higher education teaching course from KTH, another university or college of at least 7.5 credits.

Literature

You can find information about course literature either in the course memo for the course offering or in the course room in Canvas.

Examination and completion

Grading scale

P, F

Examination

  • LEXA - Continuous assessment, 2.0 credits, grading scale: P, F
  • SEM1 - Seminars, 1.0 credits, grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability. The examiner may apply another examination format when re-examining individual students. If the course is discontinued, students may request to be examined during the following two academic years.

Examiner

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

Main field of study

Technology and Learning

Education cycle

Second cycle