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Showing 1 to 15 of 23 results Save | Export
Santi Lestari – Research Matters, 2024
Despite the increasing ubiquity of computer-based tests, many general qualifications examinations remain in a paper-based mode. Insufficient and unequal digital provision across schools is often identified as a major barrier to a full adoption of computer-based exams for general qualifications. One way to overcome this barrier is a gradual…
Descriptors: Keyboarding (Data Entry), Handwriting, Test Format, Comparative Analysis
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Chan, Kinnie Kin Yee; Bond, Trevor; Yan, Zi – Language Testing, 2023
We investigated the relationship between the scores assigned by an Automated Essay Scoring (AES) system, the Intelligent Essay Assessor (IEA), and grades allocated by trained, professional human raters to English essay writing by instigating two procedures novel to written-language assessment: the logistic transformation of AES raw scores into…
Descriptors: Computer Assisted Testing, Essays, Scoring, Scores
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Wind, Stefanie A.; Wolfe, Edward W.; Engelhard, George, Jr.; Foltz, Peter; Rosenstein, Mark – International Journal of Testing, 2018
Automated essay scoring engines (AESEs) are becoming increasingly popular as an efficient method for performance assessments in writing, including many language assessments that are used worldwide. Before they can be used operationally, AESEs must be "trained" using machine-learning techniques that incorporate human ratings. However, the…
Descriptors: Computer Assisted Testing, Essay Tests, Writing Evaluation, Scoring
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Correnti, Richard; Matsumura, Lindsay Clare; Wang, Elaine; Litman, Diane; Rahimi, Zahra; Kisa, Zahid – Reading Research Quarterly, 2020
Despite the importance of analytic text-based writing, relatively little is known about how to teach to this important skill. A persistent barrier to conducting research that would provide insight on best practices for teaching this form of writing is a lack of outcome measures that assess students' analytic text-based writing development and that…
Descriptors: Writing Evaluation, Writing Tests, Computer Assisted Testing, Scoring
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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
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Nazerian, Samaneh; Abbasian, Gholam-Reza; Mohseni, Ahmad – Cogent Education, 2021
Despite growing interest in the studies on Zone of Proximal Development (ZPD), its operation in the forms of individualized and group-wide has been controversial. To cast some empirical light on the issue, this study was designed to study the applicability of the two scenarios of ZPD-based instructions to the writing accuracy of two levels of…
Descriptors: Sociocultural Patterns, Second Language Learning, Second Language Instruction, English (Second Language)
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Zimmerman, Whitney Alicia; Kang, Hyun Bin; Kim, Kyung; Gao, Mengzhao; Johnson, Glenn; Clariana, Roy; Zhang, Fan – Journal of Statistics Education, 2018
Over two semesters short essay prompts were developed for use with the Graphical Interface for Knowledge Structure (GIKS), an automated essay scoring system. Participants were students in an undergraduate-level online introductory statistics course. The GIKS compares students' writing samples with an expert's to produce keyword occurrence and…
Descriptors: Undergraduate Students, Introductory Courses, Statistics, Computer Assisted Testing
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Perin, Dolores; Lauterbach, Mark – International Journal of Artificial Intelligence in Education, 2018
The problem of poor writing skills at the postsecondary level is a large and troubling one. This study investigated the writing skills of low-skilled adults attending college developmental education courses by determining whether variables from an automated scoring system were predictive of human scores on writing quality rubrics. The human-scored…
Descriptors: College Students, Writing Evaluation, Writing Skills, Developmental Studies Programs
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Ramineni, Chaitanya; Williamson, David – ETS Research Report Series, 2018
Notable mean score differences for the "e-rater"® automated scoring engine and for humans for essays from certain demographic groups were observed for the "GRE"® General Test in use before the major revision of 2012, called rGRE. The use of e-rater as a check-score model with discrepancy thresholds prevented an adverse impact…
Descriptors: Scores, Computer Assisted Testing, Test Scoring Machines, Automation
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Mao, Liyang; Liu, Ou Lydia; Roohr, Katrina; Belur, Vinetha; Mulholland, Matthew; Lee, Hee-Sun; Pallant, Amy – Educational Assessment, 2018
Scientific argumentation is one of the core practices for teachers to implement in science classrooms. We developed a computer-based formative assessment to support students' construction and revision of scientific arguments. The assessment is built upon automated scoring of students' arguments and provides feedback to students and teachers.…
Descriptors: Computer Assisted Testing, Science Tests, Scoring, Automation
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Laurie, Robert; Bridglall, Beatrice L.; Arseneault, Patrick – SAGE Open, 2015
The effect of using a computer or paper and pencil on student writing scores on a provincial standardized writing assessment was studied. A sample of 302 francophone students wrote a short essay using a computer equipped with Microsoft Word with all of its correction functions enabled. One week later, the same students wrote a second short essay…
Descriptors: Writing Evaluation, Writing Tests, Computer Assisted Testing, Writing Achievement
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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
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Deane, Paul – ETS Research Report Series, 2014
This paper explores automated methods for measuring features of student writing and determining their relationship to writing quality and other features of literacy, such as reading rest scores. In particular, it uses the "e-rater"™ automatic essay scoring system to measure "product" features (measurable traits of the final…
Descriptors: Writing Processes, Writing Evaluation, Student Evaluation, Writing Skills
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Blanchard, Daniel; Tetreault, Joel; Higgins, Derrick; Cahill, Aoife; Chodorow, Martin – ETS Research Report Series, 2013
This report presents work on the development of a new corpus of non-native English writing. It will be useful for the task of native language identification, as well as grammatical error detection and correction, and automatic essay scoring. In this report, the corpus is described in detail.
Descriptors: Language Tests, Second Language Learning, English (Second Language), Writing Tests
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Barker, Trevor – Electronic Journal of e-Learning, 2011
The recent National Students Survey showed that feedback to students was an ongoing problem in Higher Education. This paper reports on the extension of our past research into the provision of automated feedback for objective testing. In the research presented here, the system has been further developed for marking practical and essay questions and…
Descriptors: Feedback (Response), Evaluation, Adaptive Testing, Objective Tests
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