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Darrell Lovell; Daniel J. Mallinson – Innovative Higher Education, 2024
Test-optional admissions policies have been steadily, though slowly, expanding throughout higher education institutions for decades. The COVID-19 pandemic, however, sparked a rapid expansion of institutions adopting test-optional policy. Using a diffusion of innovations framework, this study assesses the institutional characteristics that shaped…
Descriptors: Testing, Higher Education, Alternative Assessment, COVID-19
Maria Aristeidou; Simon Cross; Klaus-Dieter Rossade; Carlton Wood; Terri Rees; Patrizia Paci – Journal of Computer Assisted Learning, 2024
Background: Research into online exams in higher education has grown significantly, especially as they became common practice during the COVID-19 pandemic. However, previous studies focused on understanding individual factors that relate to students' dispositions towards online exams in 'traditional' universities. Moreover, there is little…
Descriptors: Higher Education, Computer Assisted Testing, COVID-19, Pandemics
Rebecca Kudrna; Suzanne Tiemann; Michael Swoboda; Timothy Hanrahan – InSight: A Journal of Scholarly Teaching, 2024
University First Year Seminar (FYS) programs are diverse in their content and pedagogy. Yet all seek to assist first-year students in the difficult college transition. The purpose of this pilot study was to evaluate if grouping similar academic majors into the existing First Year Seminar (FYS) courses would improve social connectedness, use of…
Descriptors: College Faculty, First Year Seminars, School Orientation, College Freshmen
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)
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
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
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
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
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
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
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
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
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
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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