Navigating the Impostor Phenomenon in Computer Science Education: Insights from Two Major Southeastern Institutions in the United States

This research paper explores the prevalence of the Impostor Phenomenon (IP) among undergraduate college students in computer science (CS) courses, addressing its variations concerning different student demographics such as gender, ethnicity, and institutional background. We surveyed 502 students from two Southeastern U.S. institutions-one in Georgia and one in Florida-using the Clance Impostor Phenomenon Scale (CIPS). We found that 63% of our participants reported experiencing IP, with higher rates among female students (68%) compared to males (62 %) and those of other gender identities (46 %). Our findings also suggest that IP experiences are significantly influenced by the interplay of students' gender and their institutional context. At the first institution (Georgia Institute of Technology), IP was found in 58% of female students and 65% of male students, compared to 29% among students with other gender identities. At the second institution (University of Florida), these figures were 80% for females, 57% for males, and 67% for students with other gender identities. Our study underscores the importance of developing targeted support strategies within the CS education community to address the high prevalence of IP, particularly considering its varying impact across different demographics and institutional contexts.

Authors

Institutions

Publication Details

Published
2024-10-13
DOI
https://doi.org/10.1109/fie61694.2024.10893023
Citations
1
Primary Topic
Perfectionism, Procrastination, Anxiety Studies
Type
article
Field-Weighted Citation Impact
0.64
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Navigating the Impostor Phenomenon in Computer Science Education: Insights from Two Major Southeastern Institutions in the United States

Olufisayo Omojokun, Pedro Guillermo Feijóo-García, Alexandre Gomes de Siqueira, Tomas Delcláux Rodríguez-Rey
1 citations
Perfectionism, Procrastination, Anxiety Studies
0.64
article

Navigating the Impostor Phenomenon in Computer Science Education: Insights from Two Major Southeastern Institutions in the United States

Olufisayo Omojokun, Pedro Guillermo Feijóo-García, Alexandre Gomes de Siqueira, Tomas Delcláux Rodríguez-Rey
article en
1 citations

Abstract

This research paper explores the prevalence of the Impostor Phenomenon (IP) among undergraduate college students in computer science (CS) courses, addressing its variations concerning different student demographics such as gender, ethnicity, and institutional background. We surveyed 502 students from two Southeastern U.S. institutions-one in Georgia and one in Florida-using the Clance Impostor Phenomenon Scale (CIPS). We found that 63% of our participants reported experiencing IP, with higher rates among female students (68%) compared to males (62 %) and those of other gender identities (46 %). Our findings also suggest that IP experiences are significantly influenced by the interplay of students' gender and their institutional context. At the first institution (Georgia Institute of Technology), IP was found in 58% of female students and 65% of male students, compared to 29% among students with other gender identities. At the second institution (University of Florida), these figures were 80% for females, 57% for males, and 67% for students with other gender identities. Our study underscores the importance of developing targeted support strategies within the CS education community to address the high prevalence of IP, particularly considering its varying impact across different demographics and institutional contexts.

Georgia Institute of Technology (US), University of Florida (US)
Quality Education
Openalex Percentile: Top 24%
Perfectionism, Procrastination, Anxiety Studies
0.64
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.