M
Mega Subramaniam
Researcher at University of Maryland, College Park
Publications - 62
Citations - 822
Mega Subramaniam is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Information literacy & Disadvantaged. The author has an hindex of 15, co-authored 57 publications receiving 667 citations. Previous affiliations of Mega Subramaniam include University of Maryland College of Information Studies & University of Baltimore.
Papers
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Journal Article
Diversity and LIS Education: Inclusion and the Age of Information
TL;DR: This paper examined understandings of diversity within the field, analyzed the implications of diversity in education, recruiting, and scholarship, and explored models for inclusive diversity education, arguing that the field needs to embrace a broader, more inclusive understanding of diversity to remain culturally relevant.
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Reimagining the role of school libraries in STEM education: Creating hybrid spaces for exploration
TL;DR: In this article, a sociocultural approach to explore how school library programs can play a critical role in STEM education and articulate the need for research that examines the contributions of school libraries as potential hybrid spaces for STEM learning.
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MakeAbility: Creating Accessible Makerspace Events in a Public Library
TL;DR: Suggestions for creating accessible makerspace events in libraries are provided, including concrete recommendations on the design of the stations.
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Preparing Future Librarians to Effectively Serve Their Communities
TL;DR: The field of library and information science (LIS) continues to struggle with the issue of diversity and inclusion as discussed by the authors, and it is disheartening that the composition of our profession does not reflect the diverse patrons and communities that we serve.
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As simple as that?: tween credibility assessment in a complex online world
Mega Subramaniam,Natalie Greene Taylor,Beth St. Jean,Rebecca Follman,Christie Kodama,Dana Casciotti +5 more
TL;DR: The features of Google search results pages and web sites that signal credibility (or lack thereof) to this population and the reasons behind their perceptions are identified.