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Title: Can discussion boards disrupt gendered and racialized discussion patterns in math classes.
Social Network Analysis is a method to analyze individuals’ social accessibility and power. We adapt it to change inequitable issues in STEM postsecondary education. Equity issues in mathematics education, such as underrepresented women and racial disparities, are prevalent. With the social capital perspective, we investigate the demographic characteristics of influential students and their social networks. Seventeen participants are undergraduate students in an inquiry-oriented linear algebra course. The number of nominations on discussion boards as “Shout-out” is data to measure influence and map the social network. By analyzing data with UCINET, we found that (1) the most influential students are non-White males and the principal components of the network are male-dominant, and (2) there is a female-dominant small cluster and female students have reciprocal networks. This study suggests further discussions of (1) how discussion boards position students with the social capital perspective and (2) intersectionality, especially for women of color.  more » « less
Award ID(s):
1915156
NSF-PAR ID:
10358895
Author(s) / Creator(s):
Editor(s):
Karunakaran, S.; Higgins, A.
Date Published:
Journal Name:
Proceedings of the Annual Conference on Research in Undergraduate Mathematics Education
ISSN:
2474-9346
Page Range / eLocation ID:
1047-1054
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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