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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)
Wilson, Joshua; Wen, Huijing – Elementary School Journal, 2022
This study investigated fourth and fifth graders' metacognitive knowledge about writing and its relationship to writing performance to help identify areas that might be leveraged when designing effective writing instruction. Students' metacognitive knowledge was probed using a 30-minute informative writing prompt requiring students to teach their…
Descriptors: Elementary School Students, Metacognition, Writing Attitudes, Writing (Composition)
Wilson, Joshua; Chen, Dandan; Sandbank, Micheal P.; Hebert, Michael – Journal of Educational Psychology, 2019
The present study examined issues pertaining to the reliability of writing assessment in the elementary grades, and among samples of struggling and nonstruggling writers. The present study also extended nascent research on the reliability and the practical applications of automated essay scoring (AES) systems in Response to Intervention frameworks…
Descriptors: Computer Assisted Testing, Automation, Scores, Writing Tests
Aitken, Adam; Thompson, Darrall G. – International Journal of Technology and Design Education, 2018
First year undergraduate design students have found difficulties in realising the standards expected for academic writing at university level. An assessment initiative was used to engage students with criteria and standards for a core interdisciplinary design subject notable for its demanding assessment of academic writing. The same graduate…
Descriptors: Undergraduate Students, Design, Assignments, Computer Software
Deane, Paul – Assessing Writing, 2013
This paper examines the construct measured by automated essay scoring (AES) systems. AES systems measure features of the text structure, linguistic structure, and conventional print form of essays; as such, the systems primarily measure text production skills. In the current state-of-the-art, AES provide little direct evidence about such matters…
Descriptors: Scoring, Essays, Text Structure, Writing (Composition)
Foxworth, Lauren L.; Hashey, Andrew; Sukhram, Diana P. – Reading & Writing Quarterly, 2019
In an age when students are increasingly expected to demonstrate technology-based writing proficiency, fluency challenges with word processing programs can pose a barrier to successful writing when students are asked to compose using these tools. The current study was designed to determine whether differences existed in typing fluency and digital…
Descriptors: Writing Skills, Students with Disabilities, Learning Disabilities, Word Processing
Condon, William – Assessing Writing, 2013
Automated Essay Scoring (AES) has garnered a great deal of attention from the rhetoric and composition/writing studies community since the Educational Testing Service began using e-rater[R] and the "Criterion"[R] Online Writing Evaluation Service as products in scoring writing tests, and most of the responses have been negative. While the…
Descriptors: Measurement, Psychometrics, Evaluation Methods, Educational Testing
Charman, Melody – British Journal of Educational Technology, 2014
This small-scale pilot study aimed to establish how the mode of response in an examination affects candidates' performances on items that require an extended answer. The sample comprised 46 17-year-old students from two classes (one in a state secondary school and one in a state sixth-form college), who sat a mock A-level English Literature…
Descriptors: Computer Assisted Testing, Exit Examinations, English Literature, Secondary School Students
Ma, Hong; Slater, Tammy – CALICO Journal, 2016
This study utilized a theory proposed by Mohan, Slater, Luo, and Jaipal (2002) regarding the Developmental Path of Cause to investigate AWE score use in classroom contexts. This "path" has the potential to support validity arguments because it suggests how causal linguistic features can be organized in hierarchical order. Utilization of…
Descriptors: Scores, Automation, Writing Evaluation, Computer Assisted Testing
Lipnevich, Anastasiya A.; Smith, Jeffrey K. – ETS Research Report Series, 2008
This experiment involved college students (N = 464) working on an authentic learning task (writing an essay) under 3 conditions: no feedback, detailed feedback (perceived by participants to be provided by the course instructor), and detailed feedback (perceived by participants to be computer generated). Additionally, conditions were crossed with 2…
Descriptors: Feedback (Response), Information Sources, College Students, Essays
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
James, Cindy L. – Assessing Writing, 2006
How do scores from writing samples generated by computerized essay scorers compare to those generated by ''untrained'' human scorers and what combination of scores, if any, is more accurate at placing students in composition courses? This study endeavored to answer this two-part question by evaluating the correspondence between writing sample…
Descriptors: Writing (Composition), Predictive Validity, Scoring, Validity
Page, Ellis B.; Poggio, John P.; Keith, Timothy Z. – 1997
Most human gradings of essays are holistic, or "overall." Therefore, Project Essay Grade (PEG), an attempt to develop computerized grading of essays, has concentrated most of its research on overall grading. It has successfully simulated human judges. However, since computer grading is less expensive than human grading, PEG has also…
Descriptors: Computer Assisted Testing, Elementary Secondary Education, Essays, Evaluators

Lemaire, Benoit; Dessus, Philippe – Journal of Educational Computing Research, 2001
Describes Apex (Assistant for Preparing Exams), a tool for evaluating student essays based on their content. By comparing an essay and the text of a given course on a semantic basis, the system can measure how well the essay matches the text. Various assessments are presented to the student regarding the topic, outline, and coherence of the essay.…
Descriptors: Computer Assisted Testing, Computer Oriented Programs, Computer Uses in Education, Educational Technology
Russell, Michael; Plati, Tom – 2000
The studies reported here focus on the effects of mode of administration of the Massachusetts Comprehensive Assessment System (MCAS) in grades 4, 8, and 10. These studies, which draw on earlier studies, also examine the mode of administration effect at different levels of keyboarding speed and for students who received special education (SPED)…
Descriptors: Computer Assisted Testing, Elementary Secondary Education, Essay Tests, Keyboarding (Data Entry)
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