Dr. Stefan Stenbom

Associate Professor

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Biography

Stefan Stenbom is an Associate Professor in the Learning Engineering Sciences Division at KTH Royal Institute of Technology, specializing in Digital Learning within the Department of Learning in Engineering Sciences. His research primarily focuses on analyzing online blended learning environments, with a particular emphasis on the Community Inquiry theoretical framework. He conducts research in various educational settings, including K-12, higher education, and life-long learning. Additionally, Stefan holds a chair portfolio dedicated to the digitalization of education, where he leads and guides strategic initiatives at KTH. He is actively involved in teaching courses related to digital learning and supervises doctoral students, contributing to the academic development of future researchers and educators.

Research Interests

Courses

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