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Carlson, Sarah E.; Seipel, Ben; Biancarosa, Gina; Davison, Mark L.; Clinton, Virginia – Grantee Submission, 2019
This demonstration introduces and presents an innovative online cognitive diagnostic assessment, developed to identify the types of cognitive processes that readers use during comprehension; specifically, processes that distinguish between subtypes of struggling comprehenders. Cognitive diagnostic assessments are designed to provide valuable…
Descriptors: Reading Comprehension, Standardized Tests, Diagnostic Tests, Computer Assisted Testing
Brinkhuis, Matthieu J. S.; Savi, Alexander O.; Hofman, Abe D.; Coomans, Frederik; van der Maas, Han L. J.; Maris, Gunter – Journal of Learning Analytics, 2018
With the advent of computers in education, and the ample availability of online learning and practice environments, enormous amounts of data on learning become available. The purpose of this paper is to present a decade of experience with analyzing and improving an online practice environment for math, which has thus far recorded over a billion…
Descriptors: Data Analysis, Mathematics Instruction, Accuracy, Reaction Time
Gerard, Libby F.; Linn, Marcia – AERA Online Paper Repository, 2016
We investigate how technologies that automatically score student written essays and assign individualized guidance can support student writing and revision in science. We used the automated scoring tools to assign guidance for student written essays in an online science unit, and studied how students revised their essays based on the guidance and…
Descriptors: Science Instruction, Technical Writing, Revision (Written Composition), Grade 7
Lee, Hee-Sun; Pallant, Amy; Pryputniewicz, Sarah; Lord, Trudi; Mulholland, Matthew; Liu, Ou Lydia – Science Education, 2019
This paper describes HASbot, an automated text scoring and real-time feedback system designed to support student revision of scientific arguments. Students submit open-ended text responses to explain how their data support claims and how the limitations of their data affect the uncertainty of their explanations. HASbot automatically scores these…
Descriptors: Middle School Students, High School Students, Student Evaluation, Science Education
Nese, Joseph F. T.; Kamata, Akihito; Alonzo, Julie – Grantee Submission, 2015
Assessing reading fluency is critical because it functions as an indicator of comprehension and overall reading achievement. Although theory and research demonstrate the importance of ORF proficiency, traditional ORF assessment practices are lacking as sensitive measures of progress for educators to make instructional decisions. The purpose of…
Descriptors: Oral Reading, Reading Fluency, Accuracy, Reading Rate
Ryoo, Kihyun; Linn, Marcia C. – Journal of Research in Science Teaching, 2016
Advances in automated scoring technologies have the potential to support student learning during inquiry instruction by providing timely and adaptive guidance on individual students' responses. To identify which forms of automated guidance can be beneficial for inquiry learning, we compared reflective guidance to directive guidance for…
Descriptors: Active Learning, Inquiry, Computer Assisted Testing, Scoring
Long, Avizia Y.; Shin, Sun-Young; Geeslin, Kimberly; Willis, Erik W. – Language Learning & Technology, 2018
In response to the need for examples of test validation from which everyday language programs can benefit, this paper reports on a study that used Bachman's (2005) assessment use argument (AUA) framework to examine evidence to support claims made about the intended interpretations and uses of scores based on a new web-based Spanish language…
Descriptors: Second Language Instruction, Second Language Learning, Spanish, Computer Assisted Testing
Roberts , Amy M.; LoCasale-Crouch, Jennifer; Hamre, Bridget K.; Buckrop, Jordan M. – Online Learning, 2017
Although scalable programs, such as online courses, have the potential to reach broad audiences, they may pose challenges to evaluating learners' knowledge and skills. Automated scoring offers a possible solution. In the current paper, we describe the process of creating and testing an automated means of scoring a validated measure of teachers'…
Descriptors: Video Technology, Scoring, Automation, Computer Assisted Testing
Chen, Jing; Zhang, Mo; Bejar, Isaac I. – ETS Research Report Series, 2017
Automated essay scoring (AES) generally computes essay scores as a function of macrofeatures derived from a set of microfeatures extracted from the text using natural language processing (NLP). In the "e-rater"® automated scoring engine, developed at "Educational Testing Service" (ETS) for the automated scoring of essays, each…
Descriptors: Computer Assisted Testing, Scoring, Automation, Essay Tests
Behizadeh, Nadia; Lynch, Tom Liam – Berkeley Review of Education, 2017
For the last century, the quality of large-scale assessment in the United States has been undermined by narrow educational theory and hindered by limitations in technology. As a result, poor assessment practices have encouraged low-level instructional practices that disparately affect students from the most disadvantaged communities and schools.…
Descriptors: Equal Education, Measurement, Educational Theories, Evaluation Methods
Nebraska Department of Education, 2019
This technical report documents the processes and procedures implemented to support the Spring 2019 Nebraska Student-Centered Assessment System (NSCAS) General Summative English Language Arts (ELA), Mathematics, and Science assessments by NWEA® under the supervision of the Nebraska Department of Education (NDE). The technical report shows how the…
Descriptors: English, Language Arts, Summative Evaluation, Mathematics Tests
Coniam, David; Yan, Zi – British Journal of Educational Technology, 2016
Onscreen marking (OSM) has been used for the majority of Hong Kong public examinations since 2012. The current study compares marker reactions to OSM, ie, perceived ease of use and acceptance of OSM, against the backdrop of virtually all subject areas being marked on screen. The data were collected from three major sources: (1) survey data…
Descriptors: Foreign Countries, Computer Assisted Testing, Usability, Adoption (Ideas)
Nese, Joseph F. T.; Kahn, Josh; Kamata, Akihito – Grantee Submission, 2017
Despite prevalent use and practical application, the current and standard assessment of oral reading fluency (ORF) presents considerable limitations which reduces its validity in estimating growth and monitoring student progress, including: (a) high cost of implementation; (b) tenuous passage equivalence; and (c) bias, large standard error, and…
Descriptors: Automation, Speech, Recognition (Psychology), Scores
Keller-Margulis, Milena A.; Mercer, Sterett H.; Payan, Anita; McGee, Wendy – School Psychology Quarterly, 2015
The purpose of this study was to examine annual growth patterns and gender differences in written expression curriculum-based measurement (WE-CBM) when used in the context of universal screening. Students in second through fifth grade (n = 672) from 2 elementary schools that used WE-CBM as a universal screener participated in the study. Student…
Descriptors: Gender Differences, Curriculum Based Assessment, Elementary School Students, Writing Skills
Bennett, Randy Elliot – Review of Research in Education, 2015
On the surface, this chapter concerns the evolution of educational assessment from a paper-based technology to an electronic one. On a deeper level, that evolution is more substantive. In the first section of this chapter, those stages are briefly described and used to place the new generation of assessments being created by the two comprehensive…
Descriptors: Educational Assessment, Electronic Learning, State Standards, Academic Standards

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