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ERIC Number: EJ1040524
Record Type: Journal
Publication Date: 2014-Apr
Pages: 36
Abstractor: As Provided
Reference Count: 78
ISSN: ISSN-1042-1726
A Meta-Analysis of Blended Learning and Technology Use in Higher Education: From the General to the Applied
Bernard, Robert M.; Borokhovski, Eugene; Schmid, Richard F.; Tamim, Rana M.; Abrami, Philip C.
Journal of Computing in Higher Education, v26 n1 p87-122 Apr 2014
This paper serves several purposes. First and foremost, it is devoted to developing a better understanding of the effectiveness of blended learning (BL) in higher education. This is achieved through a meta-analysis of a sub-collection of comparative studies of BL and classroom instruction (CI) from a larger systematic review of technology integration (Schmid et al. in "Comput Educ" 72:271-291, 2014). In addition, the methodology of meta-analysis is described and illustrated by examples from the current study. The paper begins with a summary of the experimental research on distance education (DE) and online learning (OL), encapsulated in meta-analyses that have been conducted since 1990. Then it introduces the Bernard et al. ("Rev Educ Res" 74(3):379-439, 2009) meta-analysis, which attempted to alter the DE research culture of always comparing DE/OL with CI by examining three forms of "interaction treatments" (i.e., student-student, student-teacher, student-content) within DE, using the theoretical framework of Moore ("Am J Distance Educ" 3(2):1-6, 1989) and Anderson ("Rev Res Open Distance Learn" 4(2):9-14, 2003). The rest of the paper revolves around the general steps and procedures (Cooper in "Research Synthesis and Meta-Analysis: A Step-by-Step Approach," 4th edn, SAGE, Los Angeles, CA, 2010) involved in conducting a meta-analysis. This section is included to provide researchers with an overview of precisely how meta-analyses can be used to respond to more nuanced questions that speak to underlying theory and inform practice--in other words, not just answers to the "big questions." In this instance, we know that technology has an overall positive impact on learning (g[superscript +] = +0.35, p < 0.01, Tamim et al. in "Rev Educ Res" 81(3):4-28, 2011), but the sub-questions addressed here concern BL interacting with technology in higher education. The results indicate that, in terms of achievement outcomes, BL conditions exceed CI conditions by about one-third of a standard deviation (g[superscript +] = 0.334, k = 117, p < 0.001) and that the kind of computer support used (i.e., cognitive support vs. content/presentational support) and the presence of one or more interaction treatments (e.g., student-student/-teacher/-content interaction) serve to enhance student achievement. We examine the empirical studies that yielded these outcomes, work through the methodology that enables evidence-based decision-making, and explore how this line of research can improve pedagogy and student achievement.
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A