Evaluation of digital instructional materials developed by primary school teacher candidates with different learning styles

Abstract

This embedded design mixed-method study aimed to evaluate the teaching materials developed by primary school teacher candidates using Web 2.0 tools in line with their learning styles. The participants comprised 60 primary school teacher candidates identified via purposive sampling. The data were collected with the Maggie McVay Lynch Learning Style Inventory and the Digital Teaching Material Development Self-Efficacy Scale, and from the products of the primary school teacher candidates. Inventory data were subjected to descriptive statistics, the product data were subjected to descriptive analysis and the scale data were subjected to the paired sample t-test of inferential statistics techniques. The results indicated that the majority of the primary school teacher candidates had visual learning styles and used Kahoot and LearningApps Web 2.0 tools for measurement-evaluation and Canva and Emaze for presentation purposes. In addition, the material development process according to learning styles significantly increased the participants' self-efficacy in developing digital teaching materials. Based on these results, it was suggested to determine the learning styles of teacher candidates to develop teaching materials accordingly.