Publication | Closed Access
Learning Ecologies for Technological Fluency: Gender and Experience Differences
323
Citations
37
References
2004
Year
Technology Teacher EducationTechnological Fluency-building ActivitiesEducationLearning-by-doingTechnology IntegrationInstructional DesignStem EducationAdult LearningStudent LearningTechnological FluencyHigh School SeniorsInstructional TechnologyLearning SciencesTechnical EducationEducational InnovationSecondary EducationBusinessKnowledge ManagementComputer-based EducationDigital Learning
The digital divide has shifted from access to technological prowess, emphasizing empowered uses such as learning and innovation, and these findings are discussed within a multi‑context framework for developing technological fluency. The study examined 98 high‑school seniors in an AP‑calculus cohort, categorizing them into more and less experienced groups based on prior fluency‑building breadth. Results revealed substantial variability in fluency‑building experiences, with more experienced students using a wider array of resources, males taking programming classes four times as often as females, and confidence and interest linked to experience in gender‑specific ways.
The concern with a “digital divide” has been transformed from one defined by technological access to technological prowess—employing technologies for more empowered and generative uses such as learning and innovation. Participation in technological fluency-building activities among high school students in a community heavily involved in the technology industry was investigated in a study of 98 high school seniors enrolled in AP-level calculus. Findings indicated substantial variability in history of fluency-building experiences despite similar levels of access. More and less experienced groups were defined based on their breadth of prior experience. Males and females who were classified as more experienced utilized a broader range of learning resources and were more likely to learn from out-of-school classes and distributed resources such as online tutorials and reading material. Gender differences emerged with respect to participation in certain activities such as computer programming, even when controlling for overall breadth of experience and an analysis of course-taking history helped explain why. Four times as many males as females had taken a programming class. Analysis of reasons for taking courses indicated that the majority of females who chose to take programming did so with the encouragement of family members. Both confidence and interest were related to experience, though the relationship differed for males and females. These results are discussed with respect to a multi-context framework for the development of technological fluency.
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