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FDM3305 Fostering Human Agency for AI-Mediated Learning 5.0 credits

Information per course offering

Termin

Information for Spring 2026 Start 16 Mar 2026 programme students

Course location

KTH Campus

Duration
16 Mar 2026 - 1 Jun 2026
Periods

Spring 2026: P4 (5 hp)

Pace of study

25%

Application code

10959

Form of study

Normal Daytime

Language of instruction

English

Course memo
Course memo is not published
Number of places

Places are not limited

Target group
No information inserted
Planned modular schedule
[object Object]
Schedule
Schedule is not published
Part of programme
No information inserted

Contact

Examiner
No information inserted
Course coordinator
No information inserted
Teachers
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Course syllabus as PDF

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

Course syllabus FDM3305 (Spring 2026–)
Headings with content from the Course syllabus FDM3305 (Spring 2026–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

During the course, the PhD student will learn about the following topics:

  • Theoretical foundations of human agency: sociocultural, cognitive, sociomaterial, and ethical perspectives.

  • Human agency in AI-mediated learning settings: autonomy, participation, and self-regulated learning.

  • Sociotechnical and sociomaterial influences on agency through AI and learning analytics.

  • Design principles for creating agency-supportive learning environments.

  • Case analyses from AI in education, learning analytics dashboards, and human-AI interactions in learning and teaching.

  • Ethical considerations and responsible AI frameworks.

  • Integration of agency perspectives into doctoral students’ research projects.

Intended learning outcomes

After completing the course, the PhD student will be able to:

  1. Describe key theoretical perspectives on human agency in learning.

  2. Explain how AI systems can support or constrain agency.

  3. Critically analyze research cases where agency is shaped through design, pedagogy, or technology.

  4. Apply theoretical frameworks to evaluate or propose learning environments that foster human agency.

  5. Communicate advanced concepts of agency to interdisciplinary audiences.

  6. Reflect on ethical, pedagogical, and societal implications of human–AI interaction in education.

  7. Assess the role of agency in the student’s own doctoral research and articulate its methodological or conceptual significance.

Literature and preparations

Specific prerequisites

Admitted to doctoral studies.

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

  • EXA1 - Examination, 5.0 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.

  • Pre-course written reflection (Pass/Fail).

  • Active participation in all scheduled course activities (Pass/Fail).

  • Final written assignment (Pass/Fail).

All examination components must be completed to receive a Pass.

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

This course does not belong to any Main field of study.

Education cycle

Third cycle

Postgraduate course

Postgraduate courses at EECS/Media Technology and Interaction Design