Dr. Jan Størup

Assistant Professor

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Biography

Jan Ole Størup is a PhD student specializing in Educational Psychology at Aarhus University. He holds a Master of Arts in Educational Psychology from the Danish School of Education. His research focuses on collaborative information practices among lower secondary school pupils, emphasizing the nuances of how young people engage with digital technologies in meaningful ways within their everyday lives. Størup is particularly interested in the social implications of school and educational practices, examining how these environments shape the subjectivities of pupils, and how various educational technologies and assessment forms can co-produce pupil identities, sometimes marginalizing young people's potential. Throughout his academic career, he has participated in projects investigating the intersection of digital media and early childhood education, furthering his commitment to understanding the role of technology in learning contexts. His recent activities include organizing conferences and contributing to discussions on the educational consequences of the changing landscape of digital search engines and their effects on social participation and learning among children.

Research Interests

Experience

PhD Student

2019-09-01 — 2026-09-01

Aarhus University • Aarhus C, Denmark

Engaged in research related to educational practices, focusing on digital technologies and collaborative learning among pupils.

Awards

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Poster Award

Requirements for Aarhus University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Overall
Required:6.5
TOEFL
Total
Required:83
Prerequisites
Bachelor's degree in a relevant field Specific credit requirements in programming, algorithms, and computer systems
Application Checklist
  • Official Bachelor's degree certificate
  • Official transcripts of records
  • Course descriptions
  • Curriculum Vitae (CV)
  • Documentation of English language proficiency
Specialization Notes

Department of Computer Science offers tracks in Software Efficiency, Cryptography, and Data Science.