在线学习简短职业弹性量表的编制:基于在线学习分析结果的验证

Maki Arame, Junko Handa, Yoshiko Goda, M. Toda, M. Itoh, S. Kitazaki
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引用次数: 0

摘要

本研究旨在为不同性别和教育背景的在线学习用户开发一份简短的职业弹性量表。据报道,职业弹性对教育有显著影响。此外,职业弹性可以作为适应性学习的预测因子,并且越来越需要简单有效的方法来确定职业弹性。职业弹性指数基于Kodama(2015)模型,包括五个维度的34个题项。在本研究中,开发了一个由14个项目和5个因素组成的简短表格,不仅最大限度地提高了重建项目的内部一致性,而且通过逻辑回归分析和决策树分析比较了对在线学习的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a Short-Form Career Resilience Inventory for Online learning: Verification based on analysis results of online learning
This research aims to develop a short-form Career Resilience inventory for online learning targeting users of various demographic such as genders and educational backgrounds. Career Resilience is reported to have significant effects on education. Furthermore, Career Resilience could be used as a predictor of adaptive learning, and there is increasing demand for simple and efficient ways to determine Career Resilience. The index of Career Resilience, which is based on the Kodama (2015) model, includes 34 item questions in five dimensions. In this study, developing a short form consisting of 14 items and 5 factors, and not only maximized the internal consistency of the reconstructed items, but also compared the effects on online learning by logistic regression analysis and decision tree analysis.
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