Development of a Short-Form Career Resilience Inventory for Online learning: Verification based on analysis results of online learning

Abstract

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.