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50 Years of ERIC
50 Years of ERIC
The Education Resources Information Center (ERIC) is celebrating its 50th Birthday! First opened on May 15th, 1964 ERIC continues the long tradition of ongoing innovation and enhancement.

Learn more about the history of ERIC here. PDF icon

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Kurby, Christopher A.; Magliano, Joseph P.; Dandotkar, Srikanth; Woehrle, James; Gilliam, Sara; McNamara, Danielle S. – Journal of Educational Computing Research, 2012
This study assessed whether and how self-explanation reading training, provided by iSTART (Interactive Strategy Training for Active Reading and Thinking), improves the effectiveness of comprehension processes. iSTART teaches students how to self-explain and which strategies will most effectively aid comprehension from moment-to-moment. We used…
Descriptors: Computer Assisted Testing, Federal Aid, Control Groups, Experimental Groups
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McNamara, Danielle S.; O'Reilly, Tenaha P.; Best, Rachel M.; Ozuru, Yasuhiro – Journal of Educational Computing Research, 2006
This study examines the benefits of reading strategy training on adolescent readers' comprehension of science text. Training was provided via an automated reading strategy trainer called the Interactive Strategy Trainer for Active Reading and Thinking (iSTART), which is an interactive reading strategy trainer that utilizes animated agents to…
Descriptors: Reading Comprehension, Adolescents, Reading Strategies, Teaching Methods
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Magliano, Joseph P.; Todaro, Stacey; Millis, Keith; Wiemer-Hastings, Katja; Kim, H. Joyce; McNamara, Danielle S. – Journal of Educational Computing Research, 2005
The purpose of this study was to compare the relative effectiveness of live (SERT) and computer-based (iSTART) reading strategy training. Prior to and after training, participants read scientific texts and self-explained after each sentence. They also answered comprehension questions. Students showed improvement in the quality of their…
Descriptors: Reading Strategies, Reading Comprehension, Comparative Analysis, Teaching Methods
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Shapiro, Amy M.; McNamara, Danielle S. – Journal of Educational Computing Research, 2000
Discusses latent semantic analysis (LSA), a statistical model for representing word usage in written language, and describes two experiments that were conducted with undergraduates to determine what aspect of knowledge, conceptual or factual, is being reflected in an LSA output from student essays. (Contains 21 references.)u (Author/LRW)
Descriptors: Higher Education, Semantics, Statistical Analysis, Undergraduate Students