自我感知电子学习环境尺度:护理学生样本中的发展和心理特征
Letizia Dal Santo1, Marco Peña-Jimenez, Federica Canzan
1About the Authors Letizia Dal Santo, PhD, is an adjunct professor, Department of Diagnostics and Public Health, University of Verona, Verona, Italy. Marco Peña-Jimenez, PhD, is associate professor of work and organizational psychology, Parisian Laboratory of Social Psychology (LAPPS, EA 4386), Work, Ergonomics, Guidance and Organizations Research Group (TE2O), Department of Psychology, Paris Nanterre University, Nanterre, France. Federica Canzan, PhD, and Luisa Saiani, PhD, are faculty (associate and full professor, respectively), Department of Diagnostics and Public Health, University of Verona. Adalgisa Battistelli, PhD, was full professor of work and organizational psychology, Laboratory of Psychology EA4139, University of Bordeaux, Bordeaux, France. The authors would like to thank Professorr Adalgisa Battistelli, who passed away before this manuscript was finished, for her important contributions to the realization of this work. We thank and honor her memory and the legacy she left us. For more information, contact Dr. Peña-Jimenez at marco.pena-jimenez@parisnanterre.fr.
自我感知电子学习环境尺度 (SEES) 有效地衡量护理教育中在线学习环境的关键方面. 这种经过验证的尺度为改善电子学习体验和机会提供了可靠的见解.
科学领域:
- 教育技术的教育技术
- 护理教育研究 护理教育研究
- 心理测量 心理测量 心理测量
背景情况:
- 采用电子学习需要对学习环境进行彻底的调查.
- 调查社区框架为电子学习评估工具的开发提供了信息.
- 现有的电子学习研究需要验证的工具来衡量学生的感知.
研究的目的:
- 建立自我感知电子学习环境尺度 (SEES) 的理论基础和测量验证.
- 开发一种可靠和有效的工具来评估学生对电子学习环境的看法.
- 评估电子学习环境的核心组成部分:自主战略规划,社会互动和教师反.
主要方法:
- 两项研究与护理学生进行 (N=547).
- 使用了探索性因子分析 (n=302) 和确认性因子分析 (n=245).
- 对SEES的心理特征进行了严格的评估.
主要成果:
- 因子分析证实了SEES强大的三要素结构.
- 该尺度表现出适当的可靠性和有效性.
- 经验证据支持SEES的心理测量完整性.
结论:
- SEES是评估高等教育中电子学习环境的合适工具,特别是在护理课程中.
- 这些发现对电子学习研究和护理教育实践具有理论,方法和实践意义.
- 该SEES促进了更深入地了解在线护理教育环境中学生的经验.
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