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OECD Publishing, 2019
Log files from computer-based assessment can help better understand respondents' behaviours and cognitive strategies. Analysis of timing information from Programme for the International Assessment of Adult Competencies (PIAAC) reveals large differences in the time participants take to answer assessment items, as well as large country differences…
Descriptors: Adults, Computer Assisted Testing, Test Items, Reaction Time
Archer, Elizabeth – Perspectives in Education, 2023
The COVID-19 pandemic has led to rapid change, unprecedented in higher education. One such change has been the almost complete shift to online assessment. The simultaneous employment of online assessment and proctoring has not enjoyed the rigorous academic debate and research traditionally associated with such shifts in academia. This engagement…
Descriptors: Computer Assisted Testing, Supervision, Technology Uses in Education, Social Justice
Milkova, Eva; Pekarkova, Simona; Azim, Muhammad; Jabin, Bushra – Interactive Learning Environments, 2023
School readiness is recognized as one of the key starting points for children's further success in their school work and in their subsequent career. However, many kindergarten teachers still miss and long for a comprehensive, reliable and standardized diagnostic tool which could help them recognize the level of children's school readiness. That is…
Descriptors: Educational Games, School Readiness, Aptitude Tests, Computer Assisted Testing
Kuang, Huan; Sahin, Fusun – Large-scale Assessments in Education, 2023
Background: Examinees may not make enough effort when responding to test items if the assessment has no consequence for them. These disengaged responses can be problematic in low-stakes, large-scale assessments because they can bias item parameter estimates. However, the amount of bias, and whether this bias is similar across administrations, is…
Descriptors: Test Items, Comparative Analysis, Mathematics Tests, Reaction Time
Marinho, Nathalie L.; Witmer, Sara E.; Jess, Nicole; Roschmann, Sarina – Language Assessment Quarterly, 2023
The use of accommodations is often recommended to remove barriers to academic testing among English Learners (ELs). However, it is unclear whether accommodations are particularly effective at improving ELs' test scores. A growing foundation of empirical work has explored this topic. We conducted a meta-analysis that examined several possible…
Descriptors: English Language Learners, Testing Accommodations, Barriers, Scores
Chen, Julian; Sato, Eriko – Innovation in Language Learning and Teaching, 2023
The global pandemic has forced all language teachers, regardless of their affinity to and preparation for online teaching, to convert their face-to-face courses into online versions of crisis teaching. Despite being a crisis, it has also opened opportunities for language educators and researchers to identify innovative ways of evaluating,…
Descriptors: Online Courses, Language Teachers, Electronic Learning, COVID-19
Ali Akbar Ariamanesh; Hossein Barati; Manijeh Youhanaee – International Journal of Language Testing, 2023
The present study investigates the efficacy of preparation time in four speaking tasks of TOEFL iBT. As the current pre-task planning time offered by ETS is very short, 15 to 30 seconds, we intended to explore how the test-takers' speaking quality would change if the preparation time was added to the response time, giving the respondents a…
Descriptors: English (Second Language), Second Language Learning, Language Tests, Test Preparation
Sara Mohammed Al-Bahlani; Peter Ecke – Cogent Education, 2023
This study investigated the assessment literacy of teachers of English as a Foreign Language in postsecondary education in Oman. Using self-assessment questionnaires, it examined teachers' assessment competencies and practices and digital assessment literacy. Multivariate and correlation analyses tested the effects of gender, age, pre-service and…
Descriptors: Teacher Competencies, Assessment Literacy, College Faculty, Language Teachers
McKenzie R. Behrendt; Stacy Smallfield; Jessica Semin; Kevin A. Kupzyk – Journal of Occupational Therapy Education, 2023
Healthcare educators are encouraged to provide both skill-based practical exams and interprofessional experiences to prepare students for clinical practice. With skill-based exams come increased student stress and anxiety. This article reports on the development, exploratory outcomes, and lessons learned from an ungraded objective structured…
Descriptors: Occupational Therapy, Doctoral Students, Undergraduate Students, Nursing Students
Nejdet Karadag – Journal of Educational Technology and Online Learning, 2023
The purpose of this study is to examine the impact of artificial intelligence (AI) on online assessment in the context of opportunities and threats based on the literature. To this end, 19 articles related to the AI tool ChatGPT and online assessment were analysed through rapid literature review. In the content analysis, the themes of "AI's…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Natural Language Processing, Grading
Miller, Ronald Mellado; Andrade, Maureen Snow – Research & Practice in Assessment, 2020
Technology use is increasing in higher education, particularly for test administration. In this study, Capaldi's (1994) sequential theory, which postulates that the specific order of reinforcements and nonreinforcements influences persistence in the face of difficulty or failure, was applied to online multiple choice testing situations in regard…
Descriptors: Computer Assisted Testing, Higher Education, Multiple Choice Tests, Test Format
White, Jonathon David – Physics Education, 2020
COVID-19 has upset the traditional ways of teaching and looks set to continue to have an impact in the coming years. The situation in Taiwan--partial disruption and then an early return to classes--allows for a comparison of student performance in a conventional teaching and testing environment with the non-contact teaching/testing environment…
Descriptors: Physics, Science Instruction, COVID-19, Pandemics
Taikh, Alexander; Lupker, Stephen J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
Considerable research effort has been devoted to investigating semantic priming effects, particularly, the locus of those effects. Semantically related primes might activate their target's lexical representation (through automatic spreading activation at short stimulus onset asynchronies (SOAs), or through generation of words expected to follow…
Descriptors: Semantics, Cues, Priming, Language Processing
Jewsbury, Paul A.; van Rijn, Peter W. – Journal of Educational and Behavioral Statistics, 2020
In large-scale educational assessment data consistent with a simple-structure multidimensional item response theory (MIRT) model, where every item measures only one latent variable, separate unidimensional item response theory (UIRT) models for each latent variable are often calibrated for practical reasons. While this approach can be valid for…
Descriptors: Item Response Theory, Computation, Test Items, Adaptive Testing
Wilhelm-Chapin, Mary K.; Koszalka, Tiffany A. – TechTrends: Linking Research and Practice to Improve Learning, 2020
This study focused on student-content interactions and engagement in an online graduate course. Student descriptions of their experiences and learning processes in relation to digital course resources were examined to understand how and why resources were used. Fourteen students provided detailed explanations of their use and perceived value of…
Descriptors: Graduate Students, Online Courses, Educational Resources, Electronic Publishing

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