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Download full textChen, Jing; Zhang, Mo; Bejar, Isaac I. – ETS Research Report Series, 2017
Automated essay scoring (AES) generally computes essay scores as a function of macrofeatures derived from a set of microfeatures extracted from the text using natural language processing (NLP). In the "e-rater"® automated scoring engine, developed at "Educational Testing Service" (ETS) for the automated scoring of essays, each…
Descriptors: Computer Assisted Testing, Scoring, Automation, Essay Tests
Direct linkBejar, Isaac I. – Assessment in Education: Principles, Policy & Practice, 2011
Automated scoring of constructed responses is already operational in several testing programmes. However, as the methodology matures and the demand for the utilisation of constructed responses increases, the volume of automated scoring is likely to increase at a fast pace. Quality assurance and control of the scoring process will likely be more…
Descriptors: Evidence, Quality Control, Scoring, Quality Assurance
Zechner, Klaus; Bejar, Isaac I.; Hemat, Ramin – ETS Research Report Series, 2007
The increasing availability and performance of computer-based testing has prompted more research on the automatic assessment of language and speaking proficiency. In this investigation, we evaluated the feasibility of using an off-the-shelf speech-recognition system for scoring speaking prompts from the LanguEdge field test of 2002. We first…
Descriptors: Role, Computer Assisted Testing, Language Proficiency, Oral Language
