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CLOSED: Call for Papers: Special Issue on Remote Learning and Work

IEEE Internet Computing seeks submissions for this upcoming special issue.

Important Dates

  • Paper Submissions Due: 18 July 2023
  • First-Round Review Due: 12 September 2023
  • Revision Due: 17 October 2023
  • Final Decision Notification: 17 October 2023
  • Camera-ready Submission Due: 21 November 2023

Publication: January/February 2024


Accelerating digital transformation already underway, the COVID-19 pandemic suddenly forced remote learning and remote work worldwide. While the first few months were too rushed to bring known best practices into widespread use, continuing years gave educators, students, employers, and workers an unprecedented opportunity to refine their methods and find value in remote operation. Research shows that carefully designed remote opportunities hold promise for increasing productivity, well-being, social equity, economic mobility, and slowing urbanization. On the other hand, widespread experience has also revealed problems such as inequities in access, learning loss, and reduced mental health due to social isolation. These unfortunate downsides have shaped public opinion in ways that are likely to affect future remote options and choices, as well as investments and innovation for years to come. This Special Issue aims to collect important insights about remote learning and work from recent years to encourage next steps that maximize its value to society.

Topics of interest include, but are not limited to, the following:

  • Remote learning for K-12, postsecondary, and professional learners in response to the COVID-19 pandemic and subsequently, including studies based on interviews, surveys, ethnography, or behavioral data
  • Remote work practices in various industries, and how they affected workers and employees
  • Sustained changes in teaching practice to incorporate effective remote learning and other insights from remote operation
  • Factors that influence perceptions and attitudes towards remote learning and work, and how they influence choices
  • Consequences of remote learning and work for individuals, institutions, businesses, employment sectors, and nations


Submission Guidelines

For author information and guidelines on submission criteria, please visit the IC Author Information page. Please submit papers through the ScholarOne system, and be sure to select the special-issue name. Manuscripts should not be published or currently submitted for publication elsewhere. Please submit only full papers intended for review, not abstracts, to the ScholarOne portal.


Questions?

Email the guest editor at ic1-2024@computer.org.

Guest Editors:

  • René Kizilcec, Cornell University
  • John Mitchell, Stanford University

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