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Student barriers to online learning: A factor analytic study

Lin Muilenburg, Zane L. Berge

Open publisher page 1,230 citations

Abstract

This article reports on a large‐scale (n = 1,056), exploratory factor analysis study that determined the underlying constructs that comprise student barriers to online learning. The eight factors found were (a) administrative issues, (b) social interaction, (c) academic skills, (d) technical skills, (e) learner motivation, (f) time and support for studies, (g) cost and access to the Internet, and (h) technical problems. Independent variables that significantly affected student ratings of these barrier factors included: gender, age, ethnicity, type of learning institution, self‐rating of online learning skills, effectiveness of learning online, online learning enjoyment, prejudicial treatment in traditional classes, and the number of online courses completed.

About this research paper

What this paper is about

This article reports on a large‐scale (n = 1,056), exploratory factor analysis study that determined the underlying constructs that comprise student barriers to online learning. The eight factors found were (a) administrative issues, (b) social interaction, (c) academic skills, (d) technical skills, (e) learner motivation, (f) time and support for studies, (g) cost and access to the Internet, and (h) technical problems. Independent variables that significantly affected student ratings of these barrier factors included: gender, age, ethnicity, type of learning institution, self‐rating of online learning skills, effectiveness of learning online, online learning enjoyment, prejudicial treatment in traditional classes, and the number of online courses completed.

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OpenAlex reports 1230 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This article reports on a large‐scale (n = 1,056), exploratory factor analysis study that determined the underlying constructs that comprise student barriers to online learning. The eight factors found were (a) administrative issues, (b) social interaction, (c) academic skills, (d) technical skills, (e) learner motivation, (f) time and support for studies, (g) cost and access to the Internet, and (h) technical problems. Independent variables that significantly affected student ratings of these barrier factors included: gender, age, ethnicity, type of learning institution, self‐rating of online learning skills, effectiveness of learning online, online learning enjoyment, prejudicial treatment in traditional classes, and the number of online courses completed.

Key concepts: Psychology, Exploratory factor analysis, Distance education, The Internet, Ethnic group, Online learning, Scale (ratio), Higher education

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