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Download full textBarker-Plummer, Dave; Dale, Robert; Cox, Richard; Romanczuk, Alex – International Educational Data Mining Society, 2012
We have assembled a large corpus of student submissions to an automatic grading system, where the subject matter involves the translation of natural language sentences into propositional logic. Of the 2.3 million translation instances in the corpus, 286,000 (approximately 12%) are categorized as being in error. We want to understand the nature of…
Descriptors: Logical Thinking, Grading, Natural Language Processing, Translation
Peer reviewed
Direct linkCope, Bill; Kalantzis, Mary – Open Review of Educational Research, 2015
This article sets out to explore a shift in the sources of evidence-of-learning in the era of networked computing. One of the key features of recent developments has been popularly characterized as "big data". We begin by examining, in general terms, the frame of reference of contemporary debates on machine intelligence and the role of…
Descriptors: Data Analysis, Evidence, Computer Uses in Education, Artificial Intelligence
Ghosh, Siddhartha; Fatima, Sameen S. – Journal of Educational Technology, 2007
Automated essay grading or scoring systems are no more a myth, but they are a reality. As of today, the human written (not hand written) essays are corrected not only by examiners/teachers but also by machines. The TOEFL exam is one of the best examples of this application. The students' essays are evaluated both by human and web based automated…
Descriptors: Foreign Countries, Essays, Grading, Automation
