This article reports results from a study of the use of technology to support students with learning disabilities in the use of effective study strategies. Thirty secondary students were given laptop computers and taught a variety of computer-based study strategies designed to facilitate information recording, organization, and manipulation. Results suggest that students adopted this innovation at three levels: (a) Power Users (skilled, independent users, integrating the computer into their schoolwork); (b) Prompted Users (skilled computer users, but requiring prompting); and (c) Reluctant Users (having limited knowledge and working only under supervision). Intelligence and reading test scores were associated with adoption levels in a statistically significant way.
This paper describes the use of "computer-supported studying" as an approach to helping students with disabilities develop and apply skills needed for successful transition from secondary to postsecondary education. The paper provides vignettes of three students with learning disabilities who participated in one of three federally funded projects designed to research the impact of computer-supported studying on student retention and academic achievement. Each vignette describes the way in which technology was used to minimize the negative impact of the student's disabilities and build upon the student's learning strengths. Results revealed that students who successfully adopted a computer-supported approach to studying also successfully adapted to the instructional demands of postsecondary education. Results are interpreted in terms of the literature on cognitive strategy instruction as well as the literature on social constructivism.
Graduate accounting students wrote expert systems to give advice about a specific set of tax-accounting problems. Using case study methodology, student construction of expert systems in the classroom was examined in relation to its impact on content-area learning and problem-solving behavior. Results validate that this instructional experience facilitates later judgment and problem-solving within the content area. In addition, the results suggest factors important to classroom construction of expert systems.
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