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Chen, Yi-Jui I.; Chen, Yi-Hsin; Anthony, Jason L.; Erazo, Noé A. – Journal of Psychoeducational Assessment, 2022
The Computer-based Orthographic Processing Assessment (COPA) is a newly developed assessment to measure orthographic processing skills, including rapid perception, access, differentiation, correction, and arrangement. In this study, cognitive diagnostic models were used to test if the dimensionality of the COPA conforms to theoretical expectation,…
Descriptors: Elementary School Students, Grade 2, Computer Assisted Testing, Orthographic Symbols
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Sa'di, Rami A.; Sharadgah, Talha A.; Abdulrazzaq, Ahmad; Yaseen, Maha S. – Electronic Journal of e-Learning, 2022
As the COVID-19 pandemic was spreading rapidly throughout the world, the most widespread reaction in many countries to curtail the disease was lockdown. As a result, educational institutions had to find an alternative to face-to-face learning. The most obvious solution was e-learning. Conventional tertiary institutions with little virtual learning…
Descriptors: COVID-19, Pandemics, Postsecondary Education, Electronic Learning
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Shaaban, Sumer S. Abou – International Education Studies, 2022
This paper exposed TEFL basic schoolteachers' reflections on the use of Google Classroom amid the COVID-19 pandemic. It is a qualitative descriptive field research that tackled 82 TEFL teachers who responded to a reflection instrument which includes four questions tackled: (1) demographic general information, (2) uses of google classroom, (3)…
Descriptors: Language Teachers, English (Second Language), Second Language Instruction, COVID-19
Cooper, Damian – Solution Tree, 2022
Assessment is overdue for a technology-supported reboot, and this practical guide will help you do just that. Within its pages, you'll discover a balanced approach to assessment for learning that includes conversations and performance-based observations as key components. Real-world case studies and differentiated implementation options are…
Descriptors: Evaluation Methods, Student Evaluation, Performance Based Assessment, Learner Engagement
Josh Freeman – Higher Education Policy Institute, 2025
Building on our 2024 AI Survey, we surveyed 1,041 full-time undergraduate students through Savanta about their use of generative artificial intelligence (GenAI) tools. In 2025, we find that the student use of AI has surged in the last year, with almost all students (92%) now using AI in some form, up from 66% in 2024, and some 88% having used…
Descriptors: Student Surveys, Student Attitudes, Cheating, Artificial Intelligence
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Kolski, Tammi; Weible, Jennifer L. – Community College Journal of Research and Practice, 2019
eLearning instruction has become an accepted means of delivering a quality education to higher education students, with community college online learning enrollment rates rising annually. Consistent with the desires of eLearning students for convenience and flexibility, educators utilize virtual proctored exams to safeguard against academic…
Descriptors: Community Colleges, Two Year College Students, College Students, Student Behavior
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Frick, Aurélien; Brandimonte, Maria A.; Chevalier, Nicolas – Developmental Psychology, 2019
Emerging cognitive control supports increasingly efficient goal-directed behaviors. With age, children are increasingly expected to decide autonomously and with little external aid which goals to attain. However, little is known about how children engage cognitive control in such a self-directed fashion. The present study examined self-directed…
Descriptors: Cognitive Processes, Goal Orientation, Personal Autonomy, Age Differences
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Munoz, Albert; Mackay, Jonathon – Journal of University Teaching and Learning Practice, 2019
Online testing is a popular practice for tertiary educators, largely owing to efficiency in automation, scalability, and capability to add depth and breadth to subject offerings. As with all assessments, designs need to consider whether student cheating may be inadvertently made easier and more difficult to detect. Cheating can jeopardise the…
Descriptors: Cheating, Test Construction, Computer Assisted Testing, Classification
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Kroehne, Ulf; Buerger, Sarah; Hahnel, Carolin; Goldhammer, Frank – Educational Measurement: Issues and Practice, 2019
For many years, reading comprehension in the Programme for International Student Assessment (PISA) was measured via paper-based assessment (PBA). In the 2015 cycle, computer-based assessment (CBA) was introduced, raising the question of whether central equivalence criteria required for a valid interpretation of the results are fulfilled. As an…
Descriptors: Reading Comprehension, Computer Assisted Testing, Achievement Tests, Foreign Countries
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Shavelson, Richard J.; Zlatkin-Troitschanskaia, Olga; Beck, Klaus; Schmidt, Susanne; Marino, Julian P. – International Journal of Testing, 2019
Following employers' criticisms and recent societal developments, policymakers and educators have called for students to develop a range of generic skills such as critical thinking ("twenty-first century skills"). So far, such skills have typically been assessed by student self-reports or with multiple-choice tests. An alternative…
Descriptors: Critical Thinking, Cognitive Tests, Performance Based Assessment, Student Evaluation
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Neumann, Michelle M.; Worrall, Sheena; Neumann, David L. – Journal of Research on Technology in Education, 2019
Touch-screen tablets are used in the classroom for assessment. Little is known about the psychometric properties of tablet-based assessments. This study examined the validity and reliability of an expressive and receptive assessment app designed to measure literacy skills. Children (N = 45; 3-5 years) completed the app assessments for alphabet and…
Descriptors: Handheld Devices, Emergent Literacy, Computer Assisted Testing, Test Validity
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Gu, Lixiong; Ling, Guangming; Qu, Yanxuan – ETS Research Report Series, 2019
Research has found that the "a"-stratified item selection strategy (STR) for computerized adaptive tests (CATs) may lead to insufficient use of high a items at later stages of the tests and thus to reduced measurement precision. A refined approach, unequal item selection across strata (USTR), effectively improves test precision over the…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Use, Test Items
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Aust, Frederik; Haaf, Julia M.; Stahl, Christoph – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
Evaluative conditioning (EC) is a change in liking of neutral conditioned stimuli (CS) following pairings with positive or negative stimuli (unconditioned stimulus, US). A dissociation has been reported between US expectancy and CS evaluation in extinction learning: When CSs are presented alone subsequent to CS-US pairings, participants cease to…
Descriptors: Memory, Conditioning, Decision Making, Learning Processes
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Gauthier, Andrea; Jantzen, Stuart; McGill, Gaël; Jenkinson, Jodie – CBE - Life Sciences Education, 2019
This paper discusses the results of two experiments assessing undergraduate students' beliefs about the random nature of molecular environments. Experiment 1 involved the implementation of a pilot adaptive assessment (n = 773) and focus group discussions with undergraduate students enrolled in first- through third-year biology courses; experiment…
Descriptors: Molecular Biology, Undergraduate Students, Student Attitudes, Misconceptions
McKown, Clark – Journal of Psychoeducational Assessment, 2019
The purpose of this study was to evaluate the psychometric properties and measurement invariance of a web-based, self-administered battery of assessments of social-emotional comprehension called "SELweb." Assessment modules measured children's ability to read facial expressions, infer others' perspectives, solve social problems, delay…
Descriptors: Computer Assisted Testing, Interpersonal Competence, Emotional Intelligence, Test Reliability
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