Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 3 |
| Since 2006 (last 20 years) | 5 |
Descriptor
| Automation | 6 |
| Comparative Analysis | 6 |
| English (Second Language) | 3 |
| Scoring | 3 |
| Essay Tests | 2 |
| Evaluation | 2 |
| Models | 2 |
| Second Language Learning | 2 |
| Validity | 2 |
| Writing Tests | 2 |
| Algebra | 1 |
| More ▼ | |
Source
| ETS Research Report Series | 6 |
Author
| Attali, Yigal | 1 |
| Brownstein, Beth | 1 |
| Bruno, James V. | 1 |
| Burstein, Jill | 1 |
| Cahill, Aoife | 1 |
| Donoghue, John R. | 1 |
| Frankel, Lois | 1 |
| Gyawali, Binod | 1 |
| Hansen, Eric | 1 |
| Lee, Chong Min | 1 |
| Loukina, Anastassia | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 6 |
| Reports - Research | 6 |
| Speeches/Meeting Papers | 1 |
| Tests/Questionnaires | 1 |
Education Level
| Secondary Education | 2 |
| Elementary Education | 1 |
| Grade 10 | 1 |
| Grade 11 | 1 |
| Grade 12 | 1 |
| Grade 6 | 1 |
| Grade 7 | 1 |
| Grade 8 | 1 |
| Grade 9 | 1 |
| High Schools | 1 |
| Higher Education | 1 |
| More ▼ | |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| Graduate Management Admission… | 1 |
| Praxis Series | 1 |
| Test of English as a Foreign… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Download full textLoukina, Anastassia; Zechner, Klaus; Yoon, Su-Youn; Zhang, Mo; Tao, Jidong; Wang, Xinhao; Lee, Chong Min; Mulholland, Matthew – ETS Research Report Series, 2017
This report presents an overview of the "SpeechRater"? automated scoring engine model building and evaluation process for several item types with a focus on a low-English-proficiency test-taker population. We discuss each stage of speech scoring, including automatic speech recognition, filtering models for nonscorable responses, and…
Descriptors: Automation, Scoring, Speech Tests, Test Items
Donoghue, John R. – ETS Research Report Series, 2015
At the heart of van der Linden's approach to automated test assembly (ATA) is a linear programming/integer programming (LP/IP) problem. A variety of IP solvers are available, ranging in cost from free to hundreds of thousands of dollars. In this paper, I compare several approaches to solving the underlying IP problem. These approaches range from…
Descriptors: Automation, Test Construction, Comparative Analysis, Programming
Bruno, James V.; Cahill, Aoife; Gyawali, Binod – ETS Research Report Series, 2016
We present an annotation scheme for classifying differences in the outputs of syntactic constituency parsers when a gold standard is unavailable or undesired, as in the case of texts written by nonnative speakers of English. We discuss its automated implementation and the results of a case study that uses the scheme to choose a parser best suited…
Descriptors: Documentation, Classification, Differences, Syntax
Frankel, Lois; Brownstein, Beth; Soiffer, Neil; Hansen, Eric – ETS Research Report Series, 2016
The work described in this report is the first phase of a project to provide easy-to-use tools for authoring and rendering secondary-school algebra-level math expressions in synthesized speech that is useful for students with blindness or low vision. This report describes the initial development, software implementation, and evaluation of the…
Descriptors: Algebra, Automation, Secondary School Mathematics, Artificial Speech
Ramineni, Chaitanya; Trapani, Catherine S.; Williamson, David M. – ETS Research Report Series, 2015
Automated scoring models were trained and evaluated for the essay task in the "Praxis I"® writing test. Prompt-specific and generic "e-rater"® scoring models were built, and evaluation statistics, such as quadratic weighted kappa, Pearson correlation, and standardized differences in mean scores, were examined to evaluate the…
Descriptors: Writing Tests, Licensing Examinations (Professions), Teacher Competency Testing, Scoring
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
