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International Conference on Blended Learning

ICBL 2018: Blended Learning. Enhancing Learning Success pp 17–42Cite as

Can an Evidence-Based Blended Learning Model Serve Healthcare Patients and Adult Education Students?

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10949))

Abstract

We explore the possibilities for evidence-based blended learning models that benefits both adult healthcare patients with chronic illness and also adults completing basic education programs designed to help them achieve high school equivalency with improved readiness for college and career. Ten chronic disease areas consume disproportionate percentages of healthcare resources. Adult education programs have become essential components of strategies to reduce education gaps and prepare unemployed or under-employed adults for college and career readiness. Consequently, in many countries these two populations of learners are critical to economic stability and sustained growth in technology-oriented careers. Ongoing research provided a model that combines emerging educational technologies and courseware in ways that allow customization of instructional strategies yet accommodate training in diverse content and skills. In this paper, we present the model and suggest a set of recommendations to improve educational support of adults with chronic diseases as well as to improve educational frameworks for adults preparing for college and career readiness.

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Author information

Authors and Affiliations

  1. Faculty of Business and Information Technology, University of Ontario Institute of Technology, Oshawa, ON, Canada

    Jayshiro Tashiro, Patrick C. K. Hung & Miguel Vargas Martin

Authors
  1. Jayshiro Tashiro
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  2. Patrick C. K. Hung
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  3. Miguel Vargas Martin
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Corresponding author

Correspondence to Jayshiro Tashiro .

Editor information

Editors and Affiliations

  1. The Open University of Hong Kong, Hong Kong, China

    Simon K.S. Cheung

  2. City University of Hong Kong, Hong Kong, China

    Lam-for Kwok

  3. Kansai University, Osaka, Japan

    Kenichi Kubota

  4. The Open University of Hong Kong, Hong Kong, Hong Kong

    Lap-Kei Lee

  5. Kwansei Gakuin University, Osaka, Japan

    Jumpei Tokito

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Tashiro, J., Hung, P.C.K., Martin, M.V. (2018). Can an Evidence-Based Blended Learning Model Serve Healthcare Patients and Adult Education Students?. In: Cheung, S., Kwok, Lf., Kubota, K., Lee, LK., Tokito, J. (eds) Blended Learning. Enhancing Learning Success. ICBL 2018. Lecture Notes in Computer Science(), vol 10949. Springer, Cham. https://doi.org/10.1007/978-3-319-94505-7_2

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  • DOI: https://doi.org/10.1007/978-3-319-94505-7_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94504-0

  • Online ISBN: 978-3-319-94505-7

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