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Christina Hubertina Helena Maria Heemskerk; Claudia M. Roebers – Journal of Cognition and Development, 2024
Young children tend to rely on reactive cognitive control (e.g. strongly slow down after an error), even when task accuracy would benefit from proactive cognitive control (taking a slower task approach up front). We investigated if giving young primary school children opportunities to repeatedly experience tasks where success rates depend on…
Descriptors: Cognitive Ability, Reaction Time, Accuracy, Feedback (Response)
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Hitoshi Nishizawa – Language Testing, 2024
Corpus-based studies have offered the domain definition inference for test developers. Yet, corpus-based studies on temporal fluency measures (e.g., speech rate) have been limited, especially in the context of academic lecture settings. This made it difficult for test developers to sample representative fluency features to create authentic…
Descriptors: High Stakes Tests, Language Tests, Second Language Learning, Computer Assisted Testing
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John Jerrim – Research Papers in Education, 2024
Administrative data are increasingly being used to study inequalities in education. Yet a well-known difficulty with such resources is the limited information they hold. A commonly used proxy for children coming from a low-income background is their eligibility for free school meals, yet this is likely to be of little use in measuring academic…
Descriptors: Foreign Countries, Low Income Students, Lunch Programs, Parent Background
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Jamie L. Schissel – TESOL Journal, 2024
Testing practices and the construct of English both serve separately and interactionally to promote activities of modernity and coloniality. Tests categorize and rank learning and knowledge in discrete, static ways. The construct of the English language through standardization and other processes upholds linguistic purism ideologies. Such concerns…
Descriptors: Decolonization, English (Second Language), Second Language Learning, Second Language Instruction
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Natalie Bleijlevens; Tanya Behne – Developmental Psychology, 2024
Upon hearing a novel label, listeners tend to assume that it refers to a novel, rather than a familiar object. While this disambiguation or mutual exclusivity (ME) effect has been robustly shown across development, it is unclear what it involves. Do listeners use their pragmatic and lexical knowledge to exclude the familiar object and thus select…
Descriptors: Ambiguity (Semantics), Toddlers, Adults, Cognitive Mapping
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Kübra Karakaya Özyer – Journal of Social Studies Education Research, 2024
The study aims to assess online assessment practices in a public university, addressing questions about self-efficacy levels, tools used, challenges faced, and proposed solutions. The chosen methodology employs a cross-sectional survey design, collecting both quantitative and qualitative data from 50 instructors in Türkiye through a convenience…
Descriptors: Foreign Countries, Student Evaluation, Computer Assisted Testing, College Students
Cassandra Guarino; Anna Bargagliotti; Tom Smith; Hana Kang; Yiwang Li – Annenberg Institute for School Reform at Brown University, 2024
This study addresses the important yet underexplored question of whether the Common Core State Standards in Mathematics, which emphasize critical thinking and problem-solving, as well as the computer-based assessments aligned with the Common Core, have facilitated or hindered learning for students with disabilities. By analyzing administrative…
Descriptors: Common Core State Standards, Mathematics Achievement, Mathematics Instruction, Elementary School Students
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Zhengyuan Liu – Education and Information Technologies, 2024
This study investigates the differential impacts of various online language assessment models--specifically, the Nonlinear Dynamic Individual-Centered Language Assessment (NDICLA), diagnostic assessment, and formative assessment--on the cognitive load and learning outcomes of English as a Foreign Language (EFL) learners within computer-assisted…
Descriptors: Computer Assisted Testing, Student Evaluation, Models, Second Language Learning
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Gerd Kortemeyer; Julian Nöhl; Daria Onishchuk – Physical Review Physics Education Research, 2024
[This paper is part of the Focused Collection in Artificial Intelligence Tools in Physics Teaching and Physics Education Research.] Using a high-stakes thermodynamics exam as the sample (252 students, four multipart problems), we investigate the viability of four workflows for AI-assisted grading of handwritten student solutions. We find that the…
Descriptors: Grading, Physics, Science Instruction, Artificial Intelligence
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Jonathan Schmidgall; Yan Huo; Jaime Cid; Youhua Wei – ETS Research Report Series, 2024
The principle of fairness in testing traditionally involves an assertion about the absence of bias, or that measurement should be impartial (i.e., not provide an unfair advantage or disadvantage), across groups of test takers. In more general-purposes language testing, a test taker's background knowledge is not typically considered relevant to the…
Descriptors: Testing, Language Tests, Test Bias, English for Special Purposes
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Ted M. Clark; Rebecca Ricciardo; Daniel A. Turner – Journal of Chemical Education, 2024
Active learning has often been reported to improve student outcomes in STEM courses. However, there are barriers to its implementation, and it is challenging to include this approach in large classrooms with fixed seating. This investigation explores the development of a novel approach in which the class contact time was reallocated for a general…
Descriptors: Undergraduate Students, Chemistry, Science Instruction, Class Size
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Blaženka Divjak; Petra Žugec; Katarina Pažur Anicic – International Journal of Mathematical Education in Science and Technology, 2024
Assessment is among the inevitable components of a curriculum and directs students' learning. E-assessment, as prepared and administered with the use of ICT, provides opportunities to make the process easier in some aspects, but also brings certain challenges. This paper presents an e-assessment framework from a student perspective. Our study…
Descriptors: Student Evaluation, Computer Assisted Testing, Evaluation Methods, Student Attitudes
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Clodagh Carroll – European Journal of Science and Mathematics Education, 2024
With the initial COVID-19 lockdown of March 2020 in Ireland, many modules in university programmes that were designed to be delivered face-to-face were suddenly switched to remote delivery. The difficulty for both lecturers and students in replicating face-to-face interaction and the frequent lack of lecturers' visibility of students' work in such…
Descriptors: Foreign Countries, College Freshmen, Mathematics Education, Mathematics Instruction
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Yaru Meng; Hua Fu; Chuang Wang – Language Learning & Technology, 2024
There is growing literature on computerized dynamic assessment (C-DA) wherein individual items are accompanied by mediating prompts, but its effectiveness at fine-grained levels across time has not been explored sufficiently. This study constructed a computerized listening dynamic assessment (CLDA) system, where mediation was informed by an…
Descriptors: Computer Assisted Testing, Test Validity, Audio Equipment, Audiometric Tests
Dünya, Beyza Aksu – ProQuest LLC, 2017
This study was conducted to analyze potential item parameter drift (IPD) impact on person ability estimates and classification accuracy when drift affects an examinee sub-group. Using a series of simulations, three factors were manipulated: (a) percentage of IPD items in the CAT exam, (b) percentage of examinees affected by IPD, and (c) item pool…
Descriptors: Item Banks, Adaptive Testing, Computer Assisted Testing, Correlation
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