243
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Emotion, stimulation, habit, and criticality: Learning from teachers’ multifaceted conceptions of digital reading

ORCID Icon
Pages 7-24 | Received 03 Mar 2023, Accepted 18 Sep 2023, Published online: 06 Oct 2023
 

Abstract

The emergence of post-truth culture and the spread of dis/misinformation has received a great deal of attention from researchers. Existing approaches to digital information literacy highlight new skills and strategies needed in digital spaces. However, challenges remain, including disconnects between school curricula and out-of-school experiences, a lack of research on teachers’ conceptions, and the role of emotional and sociocultural factors in meaning-making. Addressing these concerns, this qualitative case study examines how five teachers conceptualized and operationalized digital literacy through curriculum. The findings emphasize the importance of critical, sociocultural, emotional, and affective factors in conceptualizing and teaching digital literacy.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Brady L. Nash

Brady L. Nash is an Assistant Professor of English Language Arts in the Department of Teaching, Curriculum, and Educational Inquiry and Affiliate Faculty in the Department of English. His research focuses on critical approaches to digital literacies and new technologies in the context of humanities education and the ways in which people come to understand the world through engagements with digital media.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 176.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.