Attitudinal and experiential predictors of technological expertise

This study sought to clarify which computer and Internet skills and experiences differentiate technological expertise and to identify predictors of this expertise. Two hundred and fifty-eight incoming university students were surveyed on Internet and computer experiences, skills, and attitudes. Six specific Internet and computer uses that differentiate technological expertise were identified based on frequency of use. Males and those who own computers had greater technological expertise. Factor analyses identified two skill factors (Internet skills, Computer/Math skills), three experience factors (Internet, Computer, Recreational Use of Internet), five attitude factors (Importance of Internet and computer knowledge, Computer aversive, Internet and computer comfort/competency, Internet and computer overuse, Technology aversive). These factors as well as gender, computer ownership, and weekly computer and Internet use were entered as independent variables in a general linear model (GLM) which was then used to determine which factors affected technological expertise. The overall GLM was significant (R2 = .414, F = 5.85, p < .001). Internet and computer skills and computer abuse were the strongest predictors of technological expertise. Weekly Internet use, Internet and computer comfort/competency also were predictors, and gender was almost significant (p = .056) as a predictor. Neither computer ownership nor other Internet and computer attitudes were significant predictors.