TY - GEN
T1 - Asian American Education Literature Before and After Covid-19
AU - Sun, Jonathon
AU - Nguyen, Chi
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - Asian Americans have been stereotyped as “model minorities” and occupy a precarious racial position in U.S. racial hierarchy. At times in U.S. history, Asian Americans are touted as success stories of U.S. meritocracy; however, Asian American valorization often depends on broader social contexts. With the onset of the COVID-19 pandemic and its origins in China also came a wave of anti-Asian sentiment in the U.S. This shift in Asian American positionality became a focal point to scholars across fields and broadly shifted the discourse on Asian American issues. This study uses Epistemic Network Analysis (ENA) to build two models which thematically show differences across the literature before and after the onset of the COVID-19 pandemic. The first model focuses on Asian American issues, such as the perpetual foreigner and the model minority, and shows after the beginning of the COVID-19 pandemic; research focused much more on discrimination. The second model shows the relationship between Asian Americans and broader racial groups such as Black, Latinx, and White U.S. citizens, and found that before COVID-19, there was more discussion about the relationship between Black and Asian Americans; however, after the onset of COVID-19, there was a shift to White and Asian Americans.
AB - Asian Americans have been stereotyped as “model minorities” and occupy a precarious racial position in U.S. racial hierarchy. At times in U.S. history, Asian Americans are touted as success stories of U.S. meritocracy; however, Asian American valorization often depends on broader social contexts. With the onset of the COVID-19 pandemic and its origins in China also came a wave of anti-Asian sentiment in the U.S. This shift in Asian American positionality became a focal point to scholars across fields and broadly shifted the discourse on Asian American issues. This study uses Epistemic Network Analysis (ENA) to build two models which thematically show differences across the literature before and after the onset of the COVID-19 pandemic. The first model focuses on Asian American issues, such as the perpetual foreigner and the model minority, and shows after the beginning of the COVID-19 pandemic; research focused much more on discrimination. The second model shows the relationship between Asian Americans and broader racial groups such as Black, Latinx, and White U.S. citizens, and found that before COVID-19, there was more discussion about the relationship between Black and Asian Americans; however, after the onset of COVID-19, there was a shift to White and Asian Americans.
KW - Asian American
KW - Education
KW - Epistemic Network Analysis
KW - Literature Review
UR - http://www.scopus.com/inward/record.url?scp=85175949682&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85175949682&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-47014-1_14
DO - 10.1007/978-3-031-47014-1_14
M3 - Conference contribution
AN - SCOPUS:85175949682
SN - 9783031470134
T3 - Communications in Computer and Information Science
SP - 202
EP - 214
BT - Advances in Quantitative Ethnography - 5th International Conference, ICQE 2023, Proceedings
A2 - Arastoopour Irgens, Golnaz
A2 - Knight, Simon
PB - Springer Science and Business Media Deutschland GmbH
T2 - 5th International Conference on Quantitative Ethnography, ICQE 2023
Y2 - 8 October 2023 through 12 October 2023
ER -