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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
Ng, Emily – International Journal of Adult Education and Technology, 2020
The resources and time constraints of assessing large classes are always weighed up against the validity, reliability, and learning outcomes of the assessment tasks. With the digital revolution in the 21st Century, educators can benefit from computer technology to carry out a large-scale assessment in higher education more efficiently. In this…
Descriptors: Nursing Students, Computer Assisted Testing, Student Evaluation, Multiple Choice Tests
Moon, Jung Aa; Sinharay, Sandip; Keehner, Madeleine; Katz, Irvin R. – International Journal of Testing, 2020
The current study examined the relationship between test-taker cognition and psychometric item properties in multiple-selection multiple-choice and grid items. In a study with content-equivalent mathematics items in alternative item formats, adult participants' tendency to respond to an item was affected by the presence of a grid and variations of…
Descriptors: Computer Assisted Testing, Multiple Choice Tests, Test Wiseness, Psychometrics
Yerushalmy, Michal; Olsher, Shai – ZDM: The International Journal on Mathematics Education, 2020
We argue that examples can do more than serve the purpose of illustrating the truth of an existential statement or disconfirming the truth of a universal statement. Our argument is relevant to the use of technology in classroom assessment. A central challenge of computer-assisted assessment is to develop ways of collecting rich and complex data…
Descriptors: Computer Assisted Testing, Student Evaluation, Problem Solving, Thinking Skills
Xiong-Skiba, P.; Buckner, S.; Little, C.; Kovalskiy, A. – Physics Teacher, 2020
This paper reports our work on replacing lab report grading by post-online lab quizzes using Desire2Learn (D2L, an online course management software), specifically, how we circumvent some of the limitations imposed by D2L and the outcomes.
Descriptors: Grading, Physics, Science Tests, Computer Assisted Testing

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