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Ben Seipel; Patrick C. Kennedy; Sarah E. Carlson; Virginia Clinton-Lisell; Mark L. Davison – Journal of Learning Disabilities, 2023
As access to higher education increases, it is important to monitor students with special needs to facilitate the provision of appropriate resources and support. Although metrics such as the "reading readiness" ACT (formerly American College Testing) of provide insight into how many students may need such resources, they do not specify…
Descriptors: Multiple Choice Tests, Computer Assisted Testing, Reading Tests, Reading Comprehension
Ben Seipel; Patrick C. Kennedy; Sarah E. Carlson; Virginia Clinton-Lisell; Mark L. Davison – Grantee Submission, 2022
As access to higher education increases, it is important to monitor students with special needs to facilitate the provision of appropriate resources and support. Although metrics such as ACT's (formerly American College Testing) "reading readiness" provide insight into how many students may need such resources, they do not specify…
Descriptors: Multiple Choice Tests, Computer Assisted Testing, Reading Tests, Reading Comprehension
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Mimi Ismail; Ahmed Al - Badri; Said Al - Senaidi – Journal of Education and e-Learning Research, 2025
This study aimed to reveal the differences in individuals' abilities, their standard errors, and the psychometric properties of the test according to the two methods of applying the test (electronic and paper). The descriptive approach was used to achieve the study's objectives. The study sample consisted of 74 male and female students at the…
Descriptors: Achievement Tests, Computer Assisted Testing, Psychometrics, Item Response Theory
Virginia Clinton-Lisell; Terrill Taylor; Sarah E. Carlson; Mark L. Davison; Ben Seipel – Grantee Submission, 2022
Standardized reading assessments are often used as an admissions criterion for college admittance, however, the relationship and predictive validity of reading assessments to academic achievement remains in question. Through a quantitative review of the literature, we conducted a meta-analysis to examine how well performance on college reading…
Descriptors: Reading Achievement, Reading Comprehension, Reading Tests, Academic Achievement
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Virginia Clinton-Lisell; Terrill Taylor; Sarah E. Carlson; Mark L. Davison; Ben Seipel – Journal of College Reading and Learning, 2022
Reading comprehension assessments are used for postsecondary course placement and advising, and they are components of college entrance exams. Therefore, a quantitative understanding of the relationship between reading comprehension assessments and postsecondary academic achievement is needed. To address this need, we conducted a meta-analysis to…
Descriptors: Reading Achievement, Reading Comprehension, Reading Tests, Academic Achievement
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Dalton, Sarah Grace; Stark, Brielle C.; Fromm, Davida; Apple, Kristen; MacWhinney, Brian; Rensch, Amanda; Rowedder, Madyson – Journal of Speech, Language, and Hearing Research, 2022
Purpose: The aim of this study was to advance the use of structured, monologic discourse analysis by validating an automated scoring procedure for core lexicon (CoreLex) using transcripts. Method: Forty-nine transcripts from persons with aphasia and 48 transcripts from persons with no brain injury were retrieved from the AphasiaBank database. Five…
Descriptors: Validity, Discourse Analysis, Databases, Scoring
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Sahin, Murat Dogan; Gelbal, Selahattin – International Journal of Assessment Tools in Education, 2020
The purpose of this study was to conduct a real-time multidimensional computerized adaptive test (MCAT) using data from a previous paper-pencil test (PPT) regarding the grammar and vocabulary dimensions of an end-of-term proficiency exam conducted on students in a preparatory class at a university. An item pool was established through four…
Descriptors: Adaptive Testing, Computer Assisted Testing, Language Tests, Language Proficiency
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Yassin, Baderaddin; Abugohar, Mohammed Abdulgalil – Teaching English with Technology, 2022
The lack of opportunities to practice the English language outside the English as a Foreign Language (EFL) classroom can prevent English language learners (ELLs) from promoting their language proficiency to high standards. This lack makes the progress from one level of English to the next one a hard mission for Arab students. Subsequently,…
Descriptors: Gamification, Computer Assisted Instruction, Handheld Devices, Second Language Learning
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Yang, Yanfeng; Qian, David D. – Language Testing in Asia, 2017
Background: Predicated on Vygotsky's zone of proximal development (ZPD), dynamic assessment (DA) integrates teaching with assessment in a single activity by providing mediation to help learners perform beyond their independent functioning and simultaneously promote learner development. It advantages over traditional psychometric tests in that DA…
Descriptors: Reading Comprehension, Alternative Assessment, Student Evaluation, Evaluation Methods
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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
Rudner, Lawrence M. – Graduate Management Admission Council, 2012
Computer-based testing can be a powerful means to make all aspects of test administration not only faster and more efficient, but also more accurate and more secure. While the Graduate Management Admission Test (GMAT) exam is a computer adaptive test, there are other approaches. This installment presents a primer of computer-based testing terms.
Descriptors: Computer Assisted Testing, Testing, Vocabulary, Definitions
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Dashtestani, Reza – Teaching English with Technology, 2015
Interest in Web-based and computer-assisted language testing is growing in the field of English for academic purposes (EAP). In this study, four groups of undergraduate EAP students (n = 120), each group consisted of 30 students, were randomly selected from four different disciplines, i.e. biology, political sciences, psychology, and law. The four…
Descriptors: Computer Assisted Testing, Educational Technology, Technology Uses in Education, Vocabulary
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Brooks, Lindsay; Swain, Merrill – Language Assessment Quarterly, 2014
In this study we compare test takers' performance on the Speaking section of the TOEFL iBT™and their performances during their real-life academic studies. Thirty international graduate students from mixed language backgrounds in two different disciplines (Sciences and Social Sciences) responded to two independent and four integrated speaking tasks…
Descriptors: Comparative Analysis, English (Second Language), Second Language Learning, Language Tests
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Attali, Yigal; Sinharay, Sandip – ETS Research Report Series, 2015
The "e-rater"® automated essay scoring system is used operationally in the scoring of the argument and issue tasks that form the Analytical Writing measure of the "GRE"® General Test. For each of these tasks, this study explored the value added of reporting 4 trait scores for each of these 2 tasks over the total e-rater score.…
Descriptors: Scores, Computer Assisted Testing, Computer Software, Grammar
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Aizawa, Kazumi; Iso, Tatsuo – Research-publishing.net, 2013
The present study aims to demonstrate how the estimation of vocabulary size might be affected by two neglected factors in vocabulary size tests. The first factor is randomization of question sequence, as opposed to the traditional high-to-low frequency sequencing. The second factor is learners' confidence in choosing the correct meaning for a…
Descriptors: Vocabulary, Computer Assisted Testing, Scores, Multiple Choice Tests
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