Dr. Bjorn De Koning

Associate Professor

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Biography

Bjorn de Koning is an Associate Professor in the Department of Educational Psychology at Erasmus University Rotterdam. He leads the 'Educational Sciences' team and serves as the academic lead for Community Practice Personalized Online Learning within the Community Learning Innovation initiative. His expertise focuses primarily on technology-enhanced learning, emphasizing instructional design and the support of learning processes to improve educational outcomes. His research concentrates on the effective use of digital technologies, particularly AI and multimedia, to enhance learning experiences, as well as the optimization of educational materials for various learning environments. He investigates self-regulated learning behaviors and strategies for fostering cognitive skills that support higher-order thinking. De Koning’s multidisciplinary research merges insights from cognitive science, educational psychology, neuroscience, and gesture perception, contributing to both fundamental studies in controlled settings and practical interventions in real-world educational contexts. He has been recognized nationally and internationally for his work, including receiving the Erik de Corte Award in 2015 from the European Association for Research on Learning and Instruction. He also serves as an Associate Editor for the journal Computers in Human Behavior.

Research Interests

Experience

Associate Professor

2015-01-01 — Present

Erasmus University Rotterdam • Rotterdam, Netherlands

Teaching and conducting research in the field of educational psychology, focusing on technology-enhanced learning.

Awards

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Erik de Corte Award

2015-01-01

Requirements for Erasmus University Rotterdam

Master Program
Requirements
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:6.5
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:91
Prerequisites
Bachelor degree in Econometrics, Mathematics, Statistics or Industrial Engineering Advanced Mathematics (Calculus, Linear Algebra) Applied Statistics Econometrics and Time-series analysis
Application Checklist
  • Bachelor diploma or graduation statement
  • Official academic transcript
  • Curriculum Vitae
  • Proof of English proficiency
  • Course descriptions for Mathematics prerequisites
Specialization Notes

Department of Econometrics / MSc Econometrics and Management Science.