Journal of Computing in Higher Education (JCHE) contributes to our understanding of the design, development, and implementation of instructional processes and technologies in higher education. JCHE publishes original research, literature reviews, implementation and evaluation studies, and theoretical, conceptual, and policy papers that provide perspectives on instructional technology’s role in improving access, affordability, and outcomes of postsecondary education. Priority is given to well-documented original papers that demonstrate a strong grounding in learning theory and/or rigorous educational research design.

  • Explores the role of instructional processes and technologies in higher education
  • Covers postsecondary policies, issues, problems, and research associated with instructional technology and digital learning
  • Examines new teaching methods and trends aimed at increasing student success and college completion
  • Discusses all aspects of integrating technology with teaching and learning
  • Presents intervention research focusing on tools, processes, and/or methods aimed at increasing access, affordability, and outcomes of higher education

Journal information

Editor-in-Chief
  • Stephanie L. Moore
Publishing model
Hybrid (Transformative Journal). Learn about publishing Open Access with us

Journal metrics

2.627 (2020)
Impact factor
3.581 (2020)
Five year impact factor
92 days
Submission to first decision
432 days
Submission to acceptance
110,964 (2020)
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This journal has 15 open access articles

Journal updates

  • COVID-19 and impact on peer review

    As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times.  Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.

  • Special Issue Call for Papers: From Learning Analytics to Institutional Learning Ecosystems

    What kind of model should institutions of higher education (IHEs) use as they look to utilize information drawn from the learning activities conducted with digital platforms for systemic improvement?  Among the impacts of the COVID-19 pandemic is the realization that instructional support technology can be used on a massive scale when needed.  Platform-based teaching provides options for IHEs to respond to a range of needs, to be resilient in the face of other disasters and disruptions that may occur in the future.  Platforms can also allow an IHE to extend its reach to new communities.  The phrase institutional learning ecosystems borrows concepts from organizational learning to advance a broad view of how an organization connects to its stakeholders.  The ecosystem framing is a contemporary approach used with communities and complex organizations—terms that couple apply to IHEs—that highlights emergent, adaptive, and responsive approaches (Wang, 2021).  

  • Call for Papers for Special Issue: Redefining the Learning Process Through Educational and Technological Innovations

    Over the past decade, enabled by educational and technological innovations, the teaching and learning process has been undergoing a lot of changes, not only on instructional design and delivery but also on student advising and assessment. Many promising approaches have evolved to integrate the traditional learning with innovative means in order to create a new learning environment to maximize learning flexibility, enhance learning effectiveness and enrich learning experience. Blended learning, open online learning and intelligent tutoring are exemplars of these integrations.

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About this journal

Electronic ISSN
1867-1233
Print ISSN
1042-1726
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  5. Current Contents / Social & Behavioral Sciences
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  21. ProQuest Advanced Technologies & Aerospace Database
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  37. UGC-CARE List (India)
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