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Attali, Yigal; Arieli-Attali, Meirav – ETS Research Report Series, 2019
Learning progressions (LPs) have seen a growing interest in recent years due to their potential benefits in the development of formative assessments for classroom use. Using an LP as the backbone of an assessment can yield diagnostic classifications of students that can guide instruction and remediation. In operationalizing an LP, assessment items…
Descriptors: Classification, Mastery Learning, Learning Processes, Sequential Approach
Attali, Yigal; Powers, Donald – Educational and Psychological Measurement, 2009
A developmental writing scale for timed essay-writing performance was created on the basis of automatically computed indicators of writing fluency, word choice, and conventions of standard written English. In a large-scale data collection effort that involved a national sample of more than 12,000 students from 4th, 6th, 8th, 10th, and 12th grade,…
Descriptors: Validity, Measures (Individuals), Scoring, Essays
Attali, Yigal; Powers, Don; Hawthorn, John – ETS Research Report Series, 2008
Registered examinees for the GRE® General Test answered open-ended sentence-completion items. For half of the items, participants received immediate feedback on the correctness of their answers and up to two opportunities to revise their answers. A significant feedback-and-revision effect was found. Participants were able to correct many of their…
Descriptors: College Entrance Examinations, Graduate Study, Sentences, Psychometrics
Attali, Yigal; Burstein, Jill – Journal of Technology, Learning, and Assessment, 2006
E-rater[R] has been used by the Educational Testing Service for automated essay scoring since 1999. This paper describes a new version of e-rater (V.2) that is different from other automated essay scoring systems in several important respects. The main innovations of e-rater V.2 are a small, intuitive, and meaningful set of features used for…
Descriptors: Educational Testing, Test Scoring Machines, Scoring, Writing Evaluation
Attali, Yigal; Burstein, Jill – ETS Research Report Series, 2005
The e-rater® system has been used by ETS for automated essay scoring since 1999. This paper describes a new version of e-rater (v.2.0) that differs from the previous one (v.1.3) with regard to the feature set and model building approach. The paper describes the new version, compares the new and previous versions in terms of performance, and…
Descriptors: Essay Tests, Automation, Scoring, Comparative Analysis