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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
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
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
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
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
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
Feng, Mingyu, Ed.; Käser, Tanja, Ed.; Talukdar, Partha, Ed. – International Educational Data Mining Society, 2023
The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…
Descriptors: Information Retrieval, Data Analysis, Computer Assisted Testing, Cheating
Lewandowski, Lawrence; Gathje, Rebecca A.; Lovett, Benjamin J.; Gordon, Michael – Journal of Psychoeducational Assessment, 2013
College students with attention deficit hyperactivity disorder (ADHD) often request and receive extended time to complete high-stakes exams and classroom tests. This study examined the performances and behaviors of college students on computerized simulations of high-stakes exams. Thirty-five college students with ADHD were compared to 185 typical…
Descriptors: Attention Deficit Disorders, Comparative Analysis, Testing, Vocabulary

Molina, Maria Teresa Lopez-Mezquita – Indian Journal of Applied Linguistics, 2009
Lexical competence is considered to be an essential step in the development and consolidation of a student's linguistic ability, and thus the reliable assessment of such competence turns out to be a fundamental aspect in this process. The design and construction of vocabulary tests has become an area of special interest, as it may provide teachers…
Descriptors: Student Evaluation, Second Language Learning, Computer Assisted Testing, Foreign Countries
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
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

Gajar, Anna H. – Journal of Learning Disabilities, 1989
A computer analysis of the compositions written by university students with (N=30) and without (N-60) learning disabilities (LD) found LD students were not as fluent in word production and in the number of different words used but did produce longer sentences and T-units than nondisabled peers. (DB)
Descriptors: College Students, Computer Assisted Testing, Higher Education, Learning Disabilities

Vispoel, Walter P.; Hendrickson, Amy B.; Bleiler, Timothy – Journal of Educational Measurement, 2000
Evaluated the effectiveness of vocabulary computerized adaptive tests (CATs) with restricted review in a live testing setting involving 242 college students in which special efforts were made to increase test efficiency and reduce the possibility of obtaining positively biased proficiency estimates. Results suggest the efficacy of allowing limited…
Descriptors: Adaptive Testing, Attitudes, College Students, Computer Assisted Testing
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