Abstract

This study investigated whether a relationship exists between learning style and the self-reported technology-related needs, beliefs, stages of adoption, software expertise, and technology competencies of teachers in a large suburban school district. The Gregorc Style Delineator was used to identify dominant learning style, and the Snapshot Survey was used to measure technology-related needs, beliefs, stages of adoption, and software expertise. Technology competencies were measured using the Technology in Education Competency Survey. Data collected from 499 participants was included in data analysis. The study was conducted at each of the 12 elementary schools of a large suburban district in the Dallas-Fort Worth Metroplex.

The findings suggest that there is a significant relationship between learning style and the technology-related needs, stages of adoption, software expertise, and competencies of teachers. The relationship between learning style and technology-related needs was significant at the p < .01 level. The relationships between learning style and technology-related stages of adoption, software expertise, and technology competencies were significant at the p < .05 level. Members of the abstract sequential [AS] learning style group reported having significantly fewer needs and significantly higher stages of adoption, software expertise, and competency than members of one or more of the other learning style groups.

More research is recommended to determine whether these findings could be utilized to improve teacher staff development in the area of technology. Possible applications may include mentoring programs and the customization of training models to more closely match learning style profiles.