Dr. Lone Svinth

Associate Professor

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Biography

Lone Svinth is an Associate Professor at the Danish School of Education at Aarhus University, specializing in Educational Psychology. With an academic focus on pedagogical psychology, she actively contributes to research projects aimed at enhancing pedagogical care in early childhood education institutions. Svinth's recent work includes the implementation of guidelines to improve meal times and evaluate educational frameworks in these institutions. Over the years, she has engaged in numerous research activities, including lectures, conferences, and workshops, significantly impacting educational practices in Denmark. Her involvement in various projects reflects her commitment to developing nurturing learning environments and enhancing children’s participation opportunities, particularly for those in vulnerable positions. She has published articles addressing critical issues in early childhood education, including minimum standards and the quality of care offerings. Svinth continues to influence pedagogical practices through her research, aiming to promote effective educational strategies that prioritize the well-being and engagement of all children.

Research Interests

Experience

Associate Professor

— Present

Danish School of Education, Aarhus University • København, Denmark

Associate Professor focusing on educational psychology and pedagogical practices.

Awards

#

Rubin Prize

2014-08-26

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.