Applying Best Practice Online Learning, Teaching, and Support to Intensive Online Environments: An Integrative Review

Demand for flexible online offerings has continued to increase as prospective students seek to upskill, re-train, and undertake further study. Education institutions are moving to intensive modes of online study delivered in 6- to 8-week study periods which offer more frequent intake periods. Prior...

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Bibliographic Details
Main Authors: Chantal Roddy, Danielle Lalaine Amiet, Jennifer Chung, Christopher Holt, Lauren Shaw, Stephen McKenzie, Filia Garivaldis, Jason M. Lodge, Matthew Edward Mundy
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-11-01
Series:Frontiers in Education
Subjects:
Online Access:http://journal.frontiersin.org/article/10.3389/feduc.2017.00059/full
Description
Summary:Demand for flexible online offerings has continued to increase as prospective students seek to upskill, re-train, and undertake further study. Education institutions are moving to intensive modes of online study delivered in 6- to 8-week study periods which offer more frequent intake periods. Prior literature has established key success factors for non-intensive (12–13 weeks) online offerings; for teachers, skill development is critical to promote a flexible, responsive approach and maintain technological capabilities; for students, an ability to navigate the technology, interact with the learning environment in meaningful ways, and self-regulate learning is important, as the absence of physical infrastructure and opportunities for face-to-face interactions in online environments places a greater emphasis on alternate forms of communication and support. The current paper explores known best practice principles for online instructors, students, and student support and considers how these might apply to intensive online environments. It is suggested that the accelerated nature of learning in intensive settings may place additional demands on students, instructors, and support mechanisms. Further research is imperative to determine predictors of success in online intensive learning environments.
ISSN:2504-284X