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Tyler M. Moore; Katherine C. Lopez; J. Cobb Scott; Jack C. Lennon; Akira Di Sandro; Eirini Zoupou; Alesandra Gorgone; Monica E. Calkins; Daniel H. Wolf; Joseph W. Kable; Kosha Ruparel; Raquel E. Gur; Ruben C. Gur – Journal of Psychoeducational Assessment, 2025
The Penn Computerized Neurocognitive Battery (CNB) is a collection of tests validated using neuroimaging, genetics, and other criteria. An updated version of the CNB was constructed in which all tests were converted to either computerized adaptive (CAT) or abbreviated forms. In a mixed community/clinical sample (N = 307; mean age = 25.9 years;…
Descriptors: Computer Assisted Testing, Cognitive Ability, Genetics, Adaptive Testing
Yuan, Lu; Huang, Yingshi; Li, Shuhang; Chen, Ping – Journal of Educational Measurement, 2023
Online calibration is a key technology for item calibration in computerized adaptive testing (CAT) and has been widely used in various forms of CAT, including unidimensional CAT, multidimensional CAT (MCAT), CAT with polytomously scored items, and cognitive diagnostic CAT. However, as multidimensional and polytomous assessment data become more…
Descriptors: Computer Assisted Testing, Adaptive Testing, Computation, Test Items
Kárász, Judit T.; Széll, Krisztián; Takács, Szabolcs – Quality Assurance in Education: An International Perspective, 2023
Purpose: Based on the general formula, which depends on the length and difficulty of the test, the number of respondents and the number of ability levels, this study aims to provide a closed formula for the adaptive tests with medium difficulty (probability of solution is p = 1/2) to determine the accuracy of the parameters for each item and in…
Descriptors: Test Length, Probability, Comparative Analysis, Difficulty Level
Selcuk Acar; Peter Organisciak; Denis Dumas – Journal of Creative Behavior, 2025
In this three-study investigation, we applied various approaches to score drawings created in response to both Form A and Form B of the Torrance Tests of Creative Thinking-Figural (broadly TTCT-F) as well as the Multi-Trial Creative Ideation task (MTCI). We focused on TTCT-F in Study 1, and utilizing a random forest classifier, we achieved 79% and…
Descriptors: Scoring, Computer Assisted Testing, Models, Correlation
Amerson, Gladys G. – ProQuest LLC, 2023
The purpose of this quantitative study was to examine the relationship between the use of online proctoring software and technostress, age, and years' experience utilizing educational technology among nurse educators' using online proctoring software for the first time during the COVID-19 pandemic. A total of 131 surveys were returned via…
Descriptors: College Faculty, Nursing Education, Educational Technology, Stress Variables
Hoa Duong Quang; Hieu Ha Van; Khang Do Ba; Quy Nguyen Huu; Thang Phan Vo Minh; Loc Pham Quoc – Journal of Educators Online, 2025
During COVID-19 lockdowns, Vietnamese universities, like elsewhere, were compelled by social distancing rules to transition from on-site to online education, including examinations. However, many of these universities were not prepared for such sudden and drastic changes. This situation raises questions about if and how the students' cheating…
Descriptors: Foreign Countries, Computer Assisted Testing, Cheating, Student Behavior
Beatty, Abby E.; Esco, Abby; Curtiss, Ashley B. C.; Ballen, Cissy J. – Chemistry Education Research and Practice, 2022
To test the hypothesis that students who complete remote online tests experience an 'online grade penalty', we compared performance outcomes of second-year students who elected to complete exams online to those who completed face-to-face, paper-based tests in an organic chemistry course. We pursued the following research questions: (RQ1) Are there…
Descriptors: Computer Assisted Testing, College Students, Organic Chemistry, Science Tests
Xie, Qing – ProQuest LLC, 2019
The advantages of administering an adaptive test battery, a collection of multiple adaptive subtests that are specifically tailored to examinees' abilities, include shortening the subtest length and maintaining the accuracy of individual subtest scores. The test battery can incorporate a range of subjects, though this study focused primarily on…
Descriptors: Adaptive Testing, Computer Assisted Testing, Correlation, Ability
Wesley Beccaro; Miguel Arjona Ramirez; William Liaw; Heitor Rodrigues Guimaraes – IEEE Transactions on Education, 2024
Contribution: During the lockdown period of the COVID-19 pandemic, online oral exams have become a necessary reality. Considering the possibility of carrying out and recording the oral exam sessions, analyses were conducted to assess how the speaking time ratio and emotional states are affected during the exams. Background: Although many studies…
Descriptors: Oral Language, Emotional Response, Psychological Patterns, Speech Communication
Öztürk, Nagihan Boztunç – Universal Journal of Educational Research, 2019
In this study, how the length and characteristics of routing module in different panel designs affect measurement precision is examined. In the scope of the study, six different routing module length, nine different routing module characteristics, and two different panel design are handled. At the end of the study, the effects of conditions on…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Length, Test Format
Xin Wei – Educational Researcher, 2024
This study investigates the relationship between text-to-speech (TTS) usage and item-by-item performance in the 2017 eighth-grade National Assessment of Educational Progress (NAEP) math assessment, focusing on students with disabilities (SWDs), English language learners (ELLs), and their general education (GE) peers. Results indicate that all…
Descriptors: Assistive Technology, Students with Disabilities, English Language Learners, Regular and Special Education Relationship
Bolat, Yusuf Islam; Tas, Nurullah – Education and Information Technologies, 2023
The purpose of this meta-analysis was to examine the effects of Gamified-Assessment Tools (GAT) used in formal educational settings on student academic achievement. We used PRISMA systematic procedures to screen the articles across Web of Science, ERIC, Scopus, Pubmed, and PsycArticles databases. We identified 23 independent results from 17…
Descriptors: Gamification, Student Evaluation, Academic Achievement, Computer Assisted Testing
Themistocleous, Charalambos; Neophytou, Kyriaki; Rapp, Brenda; Tsapkini, Kyrana – Journal of Speech, Language, and Hearing Research, 2020
Purpose: The evaluation of spelling performance in aphasia reveals deficits in written language and can facilitate the design of targeted writing treatments. Nevertheless, manual scoring of spelling performance is time-consuming, laborious, and error prone. We propose a novel method based on the use of distance metrics to automatically score…
Descriptors: Computer Assisted Testing, Scoring, Spelling, Scores
Harun Cigdem; Mustafa Ozturk; Yusuf Karabacak; Nuri Atik; Serkan Gürkan; Mevlana Halit Aldemir – Education and Information Technologies, 2024
Effectively engaging learners in an online learning environment is a crucial component of instructional design that contributes to improving performance. Gamification, a contemporary instructional strategy, seeks to integrate game elements such as leaderboards into non-game contexts with the aim of increasing learner engagement and performance.…
Descriptors: Online Courses, Engineering Education, State Universities, Learner Engagement
Wilson, Alexander C.; Bishop, Dorothy V. M. – Journal of Child Language, 2022
It remains unclear whether pragmatic language skills and core language skills (grammar and vocabulary) are distinct language domains. The present work aimed to tease apart these domains using a novel online assessment battery administered to almost 400 children aged 7 to 13 years. Confirmatory factor analysis indicated that pragmatic and core…
Descriptors: Pragmatics, Computer Assisted Testing, Factor Analysis, Grammar