Professor Dr. Stefan Stenbom profile photo

Professor Dr. Stefan Stenbom

Associate Professor

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Biography

Stefan Stenbom is an Associate Professor in the Learning Engineering Sciences Division within the Department of Learning in Engineering Sciences at KTH Royal Institute of Technology. His research primarily focuses on analyzing online blended learning environments, with a particular interest in the Community Inquiry theoretical framework. He conducts research in various educational settings, including K-12, higher education, and life-long learning. Additionally, Stefan leads and guides strategic endeavors related to digitalization in education at KTH. He teaches multiple courses in digital learning and supervises doctoral students, playing a pivotal role in both pedagogy and leadership in the academic community.

Research Interests

Learning Engineering Blended Learning Digital Learning Community Inquiry Educational Technology

Courses

Basic Online Coaching (LV118U) Digital Learning Higher Education (LH238V) Generative AI education, learning assessment (LD2005) Learn learn online (LD1000) Research Seminars ECE (FLF3006) Education Communication Technology Sciences (FLF3004) Education Communication Technology Sciences (FLF3003) Education Communication Technology Sciences (FLF3005)

Requirements for KTH Royal Institute of Technology

Master Program

Requirements

GPA Requirement
Required:3
IELTS
Listening
Required:5.5
Reading
Required:5.5
Writing
Required:5.5
Speaking
Required:5.5
Overall
Required:6.5
TOEFL
Listening
Required:0
Reading
Required:0
Writing
Required:20
Speaking
Required:0
Total
Required:90
PTE
Listening
Required:0
Reading
Required:0
Writing
Required:62
Speaking
Required:0
Overall
Required:62

Prerequisites

Bachelor's degree (180 ECTS) in Science, Engineering, or a related field. Specific course requirements vary by department (e.g., Mathematics, Programming, or Subject-specific credits).

Application Checklist

  • Certificates and diplomas of completed degree
  • Transcript of records
  • Proof of English proficiency
  • Copy of passport or ID
  • Curriculum Vitae (CV)
  • Letter of Motivation
  • Letters of Recommendation (if required by program)
  • Summary of Project (if required)

Specialization Notes

Master's programs are organized under Schools; departments listed are units within these schools (e.g., EECS, ABE, CBH, ITM, SCI).