The Impostor Phenomenon in the Global Computing Graduate Student Population

Conference Paper (2025)
Author(s)

Caroline Pechenik (University of Toronto)

Angela Zavaleta Bernuy (McMaster University)

Selina Marianna Shah (Amrita Vishwa Vidyapeetham)

Shirley De Wit (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Emmanuel Awuni Kolog (University of Ghana)

Oscar Karnalim (Marantha Christian University)

Mohammed Farghally (Virginia Tech)

Carlos Aníbal Suárez (Escuela Superior Politécnica del Litoral Ecuador)

Jack Parkinson (University of Glasgow)

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Research Group
Web Information Systems
DOI related publication
https://doi.org/10.1145/3736181.3754327 Final published version
More Info
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Publication Year
2025
Language
English
Research Group
Web Information Systems
Pages (from-to)
322-331
Publisher
ACM
ISBN (electronic)
9798400719295
Event
3rd ACM Global Computing Education Conference, CompEd 2025 (2025-10-23 - 2025-10-25), Gaborone, Botswana
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71
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Abstract

Several studies have confirmed that undergraduates in computing programs frequently experience the Impostor Phenomenon (IP). However, this work has largely focused on North America and Europe, and no work has evaluated graduate students in computing. This study evaluates the rate of IP experiences in graduate programs globally to determine whether rates of IP experiences are consistent and whether there are institutions or locations with lower rates of IP that might inform the development of support systems to reduce its prevalence. We perform a multi-institutional, multi-national survey-based study of 11 institutions, with at least one on every populated continent. The survey asks graduate students to complete the Clance IP scale (CIPS), which is the standard evaluation instrument for IP, as well as to answer a number of demographic questions that establish their experience level, gender, and ethnicity. We evaluate the overall level of IP experiences at each institution as well as across regions, and we explore the interaction between CIPS scores, region, and demographic factors.