Nationality and Gender Biases in Multicultural Online Learning Environments: The Effects of Anonymity

要旨

Online learning environments eliminate geographical barriers and enable new forms of collaboration between students at large scale. Self-presentation within such environments affects how students interact with learning content and with each other. We explore how anonymity/identifiability in user profile design impacts student interactions in a large multicultural classroom across two geographical locations. After triangulating 150,000 online interactions with questionnaires and focus groups, we provide three major findings. First, being identifiable had a significant impact on how students accessed and rated content created by their peers. Second, when identifiable, cultural differences became more prominent, leading some students to avoid content created by classmates of certain nationalities. Finally, when students interacted with their real identities, there were significant and negative gender effects which were absent when students were anonymous. These findings contribute to our understanding of social dynamics within multicultural learning environments, and raise practical implications for tool design.

キーワード
anonymity
gender bias
nationality bias
computer-mediated communication
identity
peer ratings
online education
online learning environments
PeerWise
OLEs
VLEs
著者
Gabriela Morales-Martinez
The University of Sheffield, Sheffield, United Kingdom
Paul Latreille
The University of Sheffield, Sheffield, United Kingdom
Paul Denny
The University of Auckland, Auckland, New Zealand
DOI

10.1145/3313831.3376283

論文URL

https://doi.org/10.1145/3313831.3376283

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: Gender biases & stereotypes

Paper session
310 Lili U Theater
4 件の発表
2020-04-29 20:00:00
2020-04-29 21:15:00
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