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Riedel, Eric; Dexter, Sara L.; Scharber, Cassandra; Doering, Aaron – Journal of Educational Computing Research, 2006
Research on computer-based writing evaluation has only recently focused on the potential for providing formative feedback rather than summative assessment. This study tests the impact of an automated essay scorer (AES) that provides formative feedback on essay drafts written as part of a series of online teacher education case studies. Seventy…
Descriptors: Preservice Teacher Education, Writing Evaluation, Case Studies, Formative Evaluation
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Miller, Tristan – Journal of Educational Computing Research, 2003
Latent semantic analysis (LSA) is an automated, statistical technique for comparing the semantic similarity of words or documents. In this article, I examine the application of LSA to automated essay scoring. I compare LSA methods to earlier statistical methods for assessing essay quality, and critically review contemporary essay-scoring systems…
Descriptors: Semantics, Test Scoring Machines, Essays, Semantic Differential
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Fox, Eric J.; Sullivan, Howard J. – Journal of Educational Computing Research, 2007
The purpose of this study was to compare traditional classification training for a set of abstract concepts with multiple-relations training consisting of inference practice and the use of a content diagram. To examine this, 200 undergraduate and graduate psychology students completed a Web-based tutorial covering the abstract concepts of a…
Descriptors: Classification, Psychology, Internet, Higher Education