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Evidence-based Digital Literacy Class for Low-income African-American Older Adults
Seo, Hyunjin Erba, Joseph Altschwager, Darcey Geana, Mugur
Seo, Hyunjin
Erba, Joseph
Altschwager, Darcey
Geana, Mugur
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Abstract
Based on our community engagement project involving 47 low-income African-American older adults from a senior community center, this study analyzes how an underserved population acquires knowledge and skills related to digital technologies. We discuss the conceptualization, implementation and evaluation of a weekly, four-month long computer class for members of the senior community center. Our mixed-method research shows the importance of taking into account both the multidimensional nature of adult learning and the social and cultural contexts in which learning occurs when working with underserved adult populations. Findings from our formative and evaluative research offer insight into changes in the computer class participants’ attitudes toward and perspectives on key digital literacy issues including security and privacy online and online information verification. Scholarly and policy implications are discussed in the context of digital competency and adult learning for marginalized populations.
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Date
2019
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Journal of Applied Communication Research
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Keywords
community engagement, underserved population, digital literacy, information literacy, mixed-methods
Citation
Seo, H., Erba, J., Altschwager, D., & Geana, M. (2019). Evidence-based digital literacy class for low-income African-American older adults. Journal of Applied Communication Research, 47(2), 130-152.