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Panayiotis Panayides; Elena C. Papanastasiou; Katerina Georgiou; Maria Karekla – European Journal of Education, 2024
This study is an investigation of the validity of the Online Test Anxiety Inventory (O?-TAI) for adult students. The scale contained the 20 items of the Test Anxiety Inventory (Spielberger, 1980), together with five computer anxiety items, all rephrased so as to pertain to online test anxiety. The scale was administered to a large sample of Greek…
Descriptors: Test Validity, Computer Assisted Testing, Test Anxiety, Measures (Individuals)
Alexis Polanco Jr.; Tsai Lu Liu – Journal of Educational Technology Systems, 2024
The process by which user experiences (UX) for children are created is uncertain, especially for deaf and hard of hearing (DHH) children. This paper seeks to (I) describe the origins of UX and child-computer interaction and to describe what is being taught to designers today; (II) use the example of digital assessment to extract insights from…
Descriptors: Design, Deafness, Hearing Impairments, Computer Assisted Testing
Richard Fendler; David Beard; Jonathan Godbey – Electronic Journal of e-Learning, 2024
The rapid growth of online education, especially since the pandemic, is presenting educators with numerous challenges. Chief among these is concern about academic dishonesty, especially on unproctored online exams. Students cheating on exams is not a new phenomenon. The topic has been discussed and debated within institutions of higher learning,…
Descriptors: Cheating, Computer Assisted Testing, Supervision, Student Behavior
Abdessamad Chanaa; Nour-eddine El Faddouli – Journal of Education and Learning (EduLearn), 2024
Adaptive online learning can be realized through the evaluation of the learning process. Monitoring and supervising learners' cognitive levels and adjusting learning strategies can increasingly improve the quality of online learning. This analysis is made possible by real-time measurement of learners' cognitive levels during the online learning…
Descriptors: Electronic Learning, Evaluation Methods, Artificial Intelligence, Taxonomy
Eunjeong Park – Language Teaching Research Quarterly, 2024
It is fundamental for language teachers to assess their students' performance. Therefore, they should be familiar with various forms of assessments because teaching and assessing languages are closely related and have a great deal to do with one another. This study examined EFL preservice teachers' perceptions of assessment literacy at a…
Descriptors: Preservice Teachers, Student Attitudes, Assessment Literacy, Preservice Teacher Education
Markus T. Jansen; Ralf Schulze – Educational and Psychological Measurement, 2024
Thurstonian forced-choice modeling is considered to be a powerful new tool to estimate item and person parameters while simultaneously testing the model fit. This assessment approach is associated with the aim of reducing faking and other response tendencies that plague traditional self-report trait assessments. As a result of major recent…
Descriptors: Factor Analysis, Models, Item Analysis, Evaluation Methods
Barrett, Michelle D.; Jiang, Bingnan; Feagler, Bridget E. – International Journal of Artificial Intelligence in Education, 2022
The appeal of a shorter testing time makes a computer adaptive testing approach highly desirable for use in multiple assessment and learning contexts. However, for those who have been tasked with designing, configuring, and deploying adaptive tests for operational use at scale, preparing an adaptive test is anything but simple. The process often…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Construction, Design Requirements
Veale, Clinton G. L. – Journal of Chemical Education, 2022
The shift to online education has dealt several important pedagogical lessons in a very short time frame, none more so than approaches to assessments. This experience, coupled to improved access to education, will likely see online assessments remain as a major component of modern mainstream education. The powerful technologies that facilitate the…
Descriptors: Visual Aids, Search Engines, Computer Assisted Testing, Chemistry
Falk, Carl F.; Feuerstahler, Leah M. – Educational and Psychological Measurement, 2022
Large-scale assessments often use a computer adaptive test (CAT) for selection of items and for scoring respondents. Such tests often assume a parametric form for the relationship between item responses and the underlying construct. Although semi- and nonparametric response functions could be used, there is scant research on their performance in a…
Descriptors: Item Response Theory, Adaptive Testing, Computer Assisted Testing, Nonparametric Statistics
Schoch, Kerstin; Ostermann, Thomas – Creativity Research Journal, 2022
Although art has been subject to psychological research for some time, the artwork itself received little attention in quantitative research. The rating instrument for two-dimensional pictorial works ("RizbA") fills this gap by providing a tool for formal picture analysis. This study validates the questionnaire on 294 images created by…
Descriptors: Psychometrics, Art, Measures (Individuals), Visual Arts
McCaffrey, Daniel F.; Casabianca, Jodi M.; Ricker-Pedley, Kathryn L.; Lawless, René R.; Wendler, Cathy – ETS Research Report Series, 2022
This document describes a set of best practices for developing, implementing, and maintaining the critical process of scoring constructed-response tasks. These practices address both the use of human raters and automated scoring systems as part of the scoring process and cover the scoring of written, spoken, performance, or multimodal responses.…
Descriptors: Best Practices, Scoring, Test Format, Computer Assisted Testing
Khalil, Mohammad; Prinsloo, Paul; Slade, Sharon – Journal of Computer Assisted Learning, 2022
Background: The COVID-19 pandemic disrupted higher education in many ways, such as the move to Emergency Remote Online Teaching and Learning (EROTL), often including a move to online assessments and examinations. With evidence of increased academic dishonesty in unproctored online assessment, institutions sought ways to ensure academic and…
Descriptors: Integrity, Observation, Computer Assisted Testing, COVID-19
Barthakur, Abhinava; Kovanovic, Vitomir; Joksimovic, Srecko; Zhang, Zhonghua; Richey, Michael; Pardo, Abelardo – British Journal of Educational Technology, 2022
Technological affordances have shown promising potential in advancing the delivery of corporate learning programmes designed for professional leadership development. However, there is a considerable challenge in evaluating learners' skill acquisition, with most of the past research relying on pre- and post-tests or other forms of self-reports to…
Descriptors: Leadership, Workplace Learning, Computer Assisted Testing, Evaluation Methods
Demir, Seda – Journal of Educational Technology and Online Learning, 2022
The purpose of this research was to evaluate the effect of item pool and selection algorithms on computerized classification testing (CCT) performance in terms of some classification evaluation metrics. For this purpose, 1000 examinees' response patterns using the R package were generated and eight item pools with 150, 300, 450, and 600 items…
Descriptors: Test Items, Item Banks, Mathematics, Computer Assisted Testing
Iwuoha-Njoku, Ogechi – ProQuest LLC, 2022
This study employed a quantitative research design to examine teacher assessment literacy and its relationship to external and internal factors. The researcher sought to describe the level of assessment literacy that teachers demonstrate when using score report data from computer-adaptive interim assessment and to analyze whether teachers'…
Descriptors: Assessment Literacy, Computer Assisted Testing, Adaptive Testing, Faculty Development

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