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Blended Learning Research: Components critical to student learning from a meta-analysis

Published: 18 September 2019 Publication History

Abstract

This meta-analysis study examined two broad categories related to student satisfaction: course content and instruction format. A systematic review of the literature using meta-analysis was conducted to both analyze and synthesize data across a large number of studies. The results show that in the higher-education environment, it is essential that both the method of interaction and the content be given purposeful attention during course development and presentation of course curricula. Future research should be aimed at identifying the critical subcomponents of these two categories. Additional research on course design factors in both the online and blended learning environments related to instruction should be conducted. In addition, the hybrid approach of blended learning seems to integrate the instructor more fully into positive student perceptions of overall learning outcomes. Overall, this study demonstrated that this type of meta-analysis can provide valuable insight in educational research that is worthy of additional study for higher education.
  1. Blended Learning Research: Components critical to student learning from a meta-analysis

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    cover image eLearn
    eLearn  Volume 2019, Issue 5
    Special Issue: Paradigm Shifts in Global Higher Education and eLearning
    05-01-2019
    EISSN:1535-394X
    DOI:10.1145/3329488
    Issue’s Table of Contents
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 18 September 2019
    Published in ELEARN Volume 2019, Issue 5

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