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Direct linkSeifried, Eva; Lenhard, Wolfgang; Spinath, Birgit – Journal of Educational Computing Research, 2017
Writing essays and receiving feedback can be useful for fostering students' learning and motivation. When faced with large class sizes, it is desirable to identify students who might particularly benefit from feedback. In this article, we tested the potential of Latent Semantic Analysis (LSA) for identifying poor essays. A total of 14 teaching…
Descriptors: Computer Assisted Testing, Computer Software, Essays, Writing Evaluation
Kelly, P. Adam – Journal of Educational Computing Research, 2005
Powers, Burstein, Chodorow, Fowles, and Kukich (2002) suggested that automated essay scoring (AES) may benefit from the use of "general" scoring models designed to score essays irrespective of the prompt for which an essay was written. They reasoned that such models may enhance score credibility by signifying that an AES system measures the same…
Descriptors: Essays, Models, Writing Evaluation, Validity
Peer reviewedLemaire, Benoit; Dessus, Philippe – Journal of Educational Computing Research, 2001
Describes Apex (Assistant for Preparing Exams), a tool for evaluating student essays based on their content. By comparing an essay and the text of a given course on a semantic basis, the system can measure how well the essay matches the text. Various assessments are presented to the student regarding the topic, outline, and coherence of the essay.…
Descriptors: Computer Assisted Testing, Computer Oriented Programs, Computer Uses in Education, Educational Technology
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
