Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 5 |
Descriptor
Automation | 5 |
Computer Assisted Testing | 5 |
Scoring | 5 |
English (Second Language) | 4 |
Language Tests | 4 |
Second Language Learning | 4 |
Essays | 3 |
Feedback (Response) | 2 |
Foreign Countries | 2 |
Measurement Techniques | 2 |
Models | 2 |
More ▼ |
Author
Blanchard, Daniel | 1 |
Casabianca, Jodi M. | 1 |
Cheng, Liying | 1 |
Daniels, Paul | 1 |
Evanini, Keelan | 1 |
Heilman, Michael | 1 |
Higgins, Derrick | 1 |
Jones, Daniel Marc | 1 |
Keller, Stefan | 1 |
Krüger, Maleika | 1 |
Köller, Olaf | 1 |
More ▼ |
Publication Type
Journal Articles | 4 |
Reports - Research | 3 |
Information Analyses | 1 |
Reports - Evaluative | 1 |
Education Level
Secondary Education | 2 |
Elementary Secondary Education | 1 |
High Schools | 1 |
Higher Education | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Postsecondary Education | 1 |
Audience
Location
Canada | 1 |
Germany | 1 |
Switzerland | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Test of English as a Foreign… | 5 |
Graduate Record Examinations | 1 |
What Works Clearinghouse Rating
Jones, Daniel Marc; Cheng, Liying; Tweedie, M. Gregory – Canadian Journal of Learning and Technology, 2022
This article reviews recent literature (2011-present) on the automated scoring (AS) of writing and speaking. Its purpose is to first survey the current research on automated scoring of language, then highlight how automated scoring impacts the present and future of assessment, teaching, and learning. The article begins by outlining the general…
Descriptors: Automation, Computer Assisted Testing, Scoring, Writing (Composition)
Daniels, Paul – TESL-EJ, 2022
This paper compares the speaking scores generated by two online systems that are designed to automatically grade student speech and provide personalized speaking feedback in an EFL context. The first system, "Speech Assessment for Moodle" ("SAM"), is an open-source solution developed by the author that makes use of Google's…
Descriptors: Speech Communication, Auditory Perception, Computer Uses in Education, Computer Assisted Testing
Rupp, André A.; Casabianca, Jodi M.; Krüger, Maleika; Keller, Stefan; Köller, Olaf – ETS Research Report Series, 2019
In this research report, we describe the design and empirical findings for a large-scale study of essay writing ability with approximately 2,500 high school students in Germany and Switzerland on the basis of 2 tasks with 2 associated prompts, each from a standardized writing assessment whose scoring involved both human and automated components.…
Descriptors: Automation, Foreign Countries, English (Second Language), Language Tests
Evanini, Keelan; Heilman, Michael; Wang, Xinhao; Blanchard, Daniel – ETS Research Report Series, 2015
This report describes the initial automated scoring results that were obtained using the constructed responses from the Writing and Speaking sections of the pilot forms of the "TOEFL Junior"® Comprehensive test administered in late 2011. For all of the items except one (the edit item in the Writing section), existing automated scoring…
Descriptors: Computer Assisted Testing, Automation, Language Tests, Second Language Learning
Quinlan, Thomas; Higgins, Derrick; Wolff, Susanne – Educational Testing Service, 2009
This report evaluates the construct coverage of the e-rater[R[ scoring engine. The matter of construct coverage depends on whether one defines writing skill, in terms of process or product. Originally, the e-rater engine consisted of a large set of components with a proven ability to predict human holistic scores. By organizing these capabilities…
Descriptors: Guides, Writing Skills, Factor Analysis, Writing Tests