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Measuring Learner Satisfaction in Self-Paced E-Learning Environments: Validation of the Electronic Learner Satisfaction Scale (eLSS)

机译:在自定进度的电子学习环境中测量学习者满意度:电子学习者满意度量表(eLSS)的验证

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The purpose of this research is to document the design, development, and validation of the Electronic Learner Satisfaction Scale (eLSS). The eLSS is designed to be a parsimonious, flexible, objective, valid, and reliable tool for reporting learner satisfaction scores with self-paced e-learning environments for either research or practice. The tool uses a 9-item semantic differential scale format to collect data from learners. The sample of participants included N = 635 college students that participated in one of our research studies involving e-learning interventions. The data analyses included descriptive analysis, internal consistency reliability analysis, exploratory factor analyses (EFA), and correlation analysis. The findings demonstrated the eLSS is best described as a unidimensional factor structure explaining approximately 64% of the variability in these data with strong factor loadings and simple structure from the pattern matrix. The eLSS scores were found to significantly and positively correlate with learning performance measures as further evidence of construct validity. The eLSS is found to be a valid (face, content, and construct), and internally consistent measure for college students. The findings are discussed in light of the limitations of this study. Additionally, suggestions for the appropriate uses of the eLSS are provided.
机译:这项研究的目的是记录电子学习者满意度量表(eLSS)的设计,开发和验证。 eLSS旨在成为一种简约,灵活,客观,有效和可靠的工具,用于通过自定进度的电子学习环境报告学习者的满意程度,以进行研究或实践。该工具使用9个项目的语义差异量表格式从学习者那里收集数据。参与者样本包括N = 635名大学生,他们参加了我们的一项涉及电子学习干预的研究。数据分析包括描述性分析,内部一致性可靠性分析,探索性因素分析(EFA)和相关性分析。研究结果表明,eLSS可以最好地描述为一维因子结构,可以解释这些数据中约64%的变异性,其中具有强大的因子负载和来自模式矩阵的简单结构。发现eLSS分数与学习成绩指标显着正相关,作为构建有效性的进一步证据。 eLSS被认为是有效的(面部,内容和结构),并且是针对大学生的内部一致的度量。鉴于这项研究的局限性讨论了这些发现。此外,还提供了有关eLSS适当使用的建议。

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