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Making Visible and Modeling the Underrepresented: Teachers' Reflections on Their Role Modeling in Higher Education
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Education Research. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division Vi3. (UpCERG)ORCID iD: 0000-0002-9172-9969
University of Helsinki, Helsinki, UNK, Finland.
KTH Royal Institute of Technology, Stockholm, UNK, Sweden.
University of Glasgow, Glasgow, UNK, United Kingdom.
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2022 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This work contributes to a better understanding of computing teachers' perceptions of themselves as role models. Role models are described as important to address under-representation, yet there is little in-depth research on how role modeling works and what university teachers in computing can model to broaden participation in the discipline. We will analyze teachers' reflections on how they may, or want to, be perceived by their students, particularly in terms of professional competencies, emotions and attitudes towards well-being. We will use and further develop an already existing framework on role modeling in computing, and we will relate our findings to existing research on computing and science identities. Modeling aspects outside the computing norm can help provide students with a wider notion of what it means to be a computer scientist. Besides developing the theoretical understanding of computing teachers as role models , our work can support various ways of developing computing teachers' competences and departments' teaching culture. The results are one way to contribute to student diversity and equitable access, and more broadly increase the relevance of computing education for sustainability.

Place, publisher, year, edition, pages
2022.
National Category
Engineering and Technology Human Aspects of ICT Educational Sciences Other Computer and Information Science
Research subject
Computing Education Research
Identifiers
URN: urn:nbn:se:uu:diva-480317DOI: 10.1145/3502717.3532170ISBN: 9781450392006 (print)OAI: oai:DiVA.org:uu-480317DiVA, id: diva2:1682363
Conference
ITiCSE '22: Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education
Available from: 2022-07-09 Created: 2022-07-09 Last updated: 2023-01-09Bibliographically approved

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Grande, VirginiaCajander, ÅsaDaniels, Mats

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CiteExportLink to record
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