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Making Visible and Modeling the Underrepresented: Teachers' Reflections on Their Role Modeling in Higher Education
KTH, Skolan för industriell teknik och management (ITM), Lärande, Lärande i Stem.ORCID-id: 0000-0001-6874-2885
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2022 (Engelska)Ingår i: ITiCSE '22: Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education, Association for Computing Machinery , 2022, Vol. 2, s. 566-567Konferensbidrag, Publicerat paper (Refereegranskat)
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.

Ort, förlag, år, upplaga, sidor
Association for Computing Machinery , 2022. Vol. 2, s. 566-567
Serie
Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE, ISSN 1942-647X ; 2
Nyckelord [en]
emotions, higher education, professional competencies, role model, teacher
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
URN: urn:nbn:se:kth:diva-317533DOI: 10.1145/3502717.3532170Scopus ID: 2-s2.0-85134539582OAI: oai:DiVA.org:kth-317533DiVA, id: diva2:1695357
Konferens
27th ACM Conference on Innovation and Technology in Computer Science Education, ITiCSE 2022, 8 July 2022 through 13 July 2022, Dublin, Ireland
Anmärkning

QC 20220913

Part of proceedings: ISBN 978-145039200-6

Tillgänglig från: 2022-09-13 Skapad: 2022-09-13 Senast uppdaterad: 2022-09-13Bibliografiskt granskad

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Peters, Anne-Kathrin

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Totalt: 64 träffar
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