ERIC Number: EJ1377664
Record Type: Journal
Publication Date: 2023-May
Pages: 9
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-8756-3894
EISSN: EISSN-1559-7075
Resisting Techno-Orientalism and Mimicry Stereotypes in and through Data Science Education
TechTrends: Linking Research and Practice to Improve Learning, v67 n3 p426-434 May 2023
The perceived importance of data in society has led to a surge in interest towards data science education. This article seeks to build on existing literature concerned with the sociopolitical, cultural, and ethical dimensions of data science education by considering the salience of two interrelated concepts discussed in Asian and Asian American studies and postcolonial studies: techno-Orientalism and the Filipino mimicry stereotype. These concepts describe the positioning of Asians and Asian Americans, and Filipinos in particular, as performance machines who are adept at copying the ideas of dominant groups but incapable of innovation themselves. This article situates techno-Orientalism and the Filipino mimicry stereotype within broader conversations around postcolonial data politics and then argues for the possibility of including these concepts in data science education curricula. Finally, this article discusses Gaskins's techno-vernacular creativity as one path for resisting techno-Orientalist and mimicry discourses.
Descriptors: Data Science, Asian Culture, Ethnic Stereotypes, Postcolonialism, Asian Americans, Futures (of Society), Imitation
Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://bibliotheek.ehb.be:2123/
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A