Exploring the Factors Associated with Undergraduate Students’ Online Learning Anxiety: Development of the Online Learner Anxiety Scale

IF 2.3
Albert D. Ritzhaupt, M. Rehman, Matthew L. Wilson, Krista Ruggles
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引用次数: 1

Abstract

The purpose of this research was to explore the factors associated with online learning anxiety by carefully designing, developing, and providing preliminary validity and reliability evidence of a scale to measure undergraduate students’ online learning anxiety. We created a conceptual framework to organize the literature surrounding online learning anxiety and used this framework to develop an initial item pool of 30 items. The researchers recruited N = 297 undergraduate student participants from four public universities in the southeastern United States from whom we collected and analyzed data for descriptive statistics, internal consistency reliability, exploratory factor analysis, and correlational analysis. Following systematic analytic procedures, we arrived at a three-factor model explaining approximately 65% of the variability in these data and retained 24 items in the final model with minimal cross-loadings in the pattern matrix. We labeled the identified factors as (1) online learner feelings of negativity and inadequacy, (2) online learner apprehension towards personal communication, and (3) online learner discomfort with instructor capacity and communication. The final instrument was named the Online Learner Anxiety Scale (OLAS). Scores on the OLAS were correlated with five other measures hypothesized to relate to online learning anxiety thereby providing stronger construct validity evidence. The OLAS was found to produce reliable scores that can be validly inferred as measures of online learning anxiety among undergraduate students in institutions of higher education. These findings are discussed and framed in light of current literature on online learning and possible future research directions. 
大学生网络学习焦虑的相关因素探讨:网络学习者焦虑量表的编制
本研究旨在通过精心设计、编制大学生网络学习焦虑量表,探讨网络学习焦虑的相关因素,并提供初步效度和信度证据。我们创建了一个概念性框架来组织有关在线学习焦虑的文献,并使用该框架开发了一个包含30个项目的初始项目库。研究人员从美国东南部的四所公立大学招募了N = 297名本科生,对他们的数据进行了描述性统计、内部一致性信度、探索性因素分析和相关性分析。经过系统的分析程序,我们得出了一个三因素模型,解释了这些数据中约65%的可变性,并在最终模型中保留了24个项目,模式矩阵中的交叉负荷最小。我们将确定的因素标记为(1)在线学习者的消极和不足感,(2)在线学习者对个人沟通的恐惧,以及(3)在线学习者对教师能力和沟通的不适。最后一个工具被命名为在线学习者焦虑量表(OLAS)。OLAS的得分与其他五项假设与在线学习焦虑相关的测量相关,从而提供更强的结构效度证据。我们发现OLAS可以产生可靠的分数,可以有效地推断作为高等教育机构本科学生在线学习焦虑的测量。本文将根据当前在线学习的文献和未来可能的研究方向对这些发现进行讨论和框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
7.50
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