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Smith, Glenn Gordon; Haworth, Robert; Žitnik, Slavko – Journal of Educational Computing Research, 2020
We investigated how Natural Language Processing (NLP) algorithms could automatically grade answers to open-ended inference questions in web-based eBooks. This is a component of research on making reading more motivating to children and to increasing their comprehension. We obtained and graded a set of answers to open-ended questions embedded in a…
Descriptors: Natural Language Processing, Computer Assisted Testing, Grading, Electronic Publishing
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Seifried, 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
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Lemaire, 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