Dr. Richard Davis

Assistant Professor

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Biography

Richard Lee Davis is an Assistant Professor at KTH Royal Institute of Technology, working in the Division of Digital Learning within the Department of Learning in Engineering Sciences. He holds a Ph.D. in Learning Sciences and Technology Design, as well as an MSc in Computer Science, specializing in Artificial Intelligence and Human-Computer Interaction from Stanford University. His research is positioned at the intersection of education and technology, emphasizing the design and evaluation of innovative educational tools. During his time at Stanford, he completed a postdoctoral fellowship in computer science at the Swiss Federal Institute of Technology Lausanne (EPFL), where he served as the co-executive director of the ETH Zurich-EPFL Joint Doctoral Program in Learning Sciences. His work is guided by constructionist theories, focusing on creating personally meaningful artifacts and expanding the possibilities for 'learning by making' in various domains. He incorporates cutting-edge technologies such as artificial intelligence (AI), digital fabrication, haptic feedback, and immersive virtual and augmented reality tools into his educational practices. His contributions have been recognized through prestigious awards including the Stanford Interdisciplinary Graduate Fellowship and various paper awards at major conferences, alongside grants for supporting innovative AI tools aimed at enhancing creativity and problem-solving in education.

Research Interests

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).