{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T11:29:32Z","timestamp":1777894172816,"version":"3.51.4"},"reference-count":25,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[1995,3,1]],"date-time":"1995-03-01T00:00:00Z","timestamp":794016000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Learn Disabil"],"published-print":{"date-parts":[[1995,3]]},"abstract":"<jats:p>Student Assistant for Learning from Text (SALT) is a software system for developing hypermedia versions of textbooks designed to help students with learning disabilities and other low-achieving students to compensate for their reading difficulties. In the present study, 10 students with learning disabilities (3 young women and 7 young men ages 15 to 17) in Grades 9 and 10 read passages from a science textbook using a basic computer version and an enhanced computer version. The basic version included the components found in the printed textbook (text, graphics, outline, and questions) and a notebook. The enhanced version added speech synthesis, an on-line glossary, links between questions and text, highlighting of main ideas, and supplementary explanations that summarized important ideas. Students received significantly higher comprehension scores using the enhanced version. Furthermore, students preferred the enhanced version and thought it helped them learn the material better.<\/jats:p>","DOI":"10.1177\/002221949502800304","type":"journal-article","created":{"date-parts":[[2008,12,24]],"date-time":"2008-12-24T02:27:07Z","timestamp":1230085627000},"page":"150-159","source":"Crossref","is-referenced-by-count":46,"title":["Student Assistant for Learning from Text (SALT)"],"prefix":"10.1177","volume":"28","author":[{"given":"Charles A.","family":"MacArthur","sequence":"first","affiliation":[{"name":"Charles A. MacArthur is an assistant professor in the Department of Educational Studies at the University of Delaware. His research interests are in literacy, strategy instruction, and technology applications with students with learning disabilities."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jacqueline B.","family":"Haynes","sequence":"additional","affiliation":[{"name":"Jacqueline B. Haynes is vice president of Intelligent Automation, Inc., where she directs research projects focused on artificial intelligence applications in education and training, especially for individuals with disabilities. Previously, she conducted research on special education technology at the University of Maryland. Dr. Haynes received her PhD in curriculum and instruction with a specialty in reading from the University of Maryland. Address: Charles A. MacArthur, Department of Educational..."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[1995,3,1]]},"reference":[{"key":"atypb1","doi-asserted-by":"publisher","DOI":"10.1177\/074193258800900109"},{"key":"atypb2","doi-asserted-by":"publisher","DOI":"10.1177\/016264349301200202"},{"key":"atypb3","doi-asserted-by":"publisher","DOI":"10.2190\/HC3L-G6YD-BAK9-EQB5"},{"key":"atypb4","volume-title":"Statistical power analysis for the behavioral sciences.","author":"Cohen, J.","year":"1977"},{"key":"atypb5","doi-asserted-by":"publisher","DOI":"10.1177\/001440298605200611"},{"key":"atypb6","volume-title":"Reading in the content areas: Research for teachers.","author":"Dupois, M. 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