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Development of a Short-Form Learning Style Inventory for Automated Driving Safety Education

This research aimed to develop a short-form learning style inventory for automated driving safety education targeting traffic users of various ages, genders, and demographic and educational backgrounds. Learning styles have been shown to have significant effects on safety education. Furthermore, learning styles are commonly applied for adaptive learning in technology-enhanced learning fields, and there is rising demand for simple, efficient ways to determine learning styles. The Index of Learning Style (ILS), which is based on the Felder-Silverman model, includes 44 dichotomous questions in four dimensions. The present research proposes a short form of the ILS with 12 questions, including three questions for each dimension, after cross-validation with another sample from the same target.