Dr. Ida Winther

Associate Professor

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Biography

Ida Wentzel Winther is an Associate Professor at the Danish School of Education, Aarhus University, specializing in Educational Anthropology. She holds a Cand.mag and a PhD, focusing on ethnographic and pedagogical anthropology. Her research interests include the social dynamics of childhood and youth, participant observation, and the implications of anthropological theory on educational practices. Over the years, she has directed multiple research projects, including the investigation of family life during the pandemic and the social significance of disabilities in elderly life. She is actively involved in academic collaborations and has contributed significantly to conferences and workshops. Her portfolio includes organizing events and actively participating in panels and lectures. Ida’s work has been recognized with several awards, including nominations for academic prizes. She is committed to advancing the understanding of experiential learning and community dynamics within educational contexts.

Research Interests

Experience

Associate Professor

— Present

Danish School of Education, Aarhus University • Copenhagen, Denmark

Teaching and conducting research in the fields of Educational Anthropology and Pedagogical practices.

Awards

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Erasmus Travel Grant

2014-03-15
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Nominated for Universitetsforlagets Tidsskriftpris

2014-06-01
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Nominated for Aarhus University Pedagogical Prize

2017-09-01

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.