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Philipp Musfeld; Alessandra S. Souza; Klaus Oberauer – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
One of the best-known demonstrations of long-term learning through repetition is the Hebb effect: Immediate recall of a memory list repeated amidst nonrepeated lists improves steadily with repetitions. However, previous studies often failed to observe this effect for visuospatial arrays. Souza and Oberauer (2022) showed that the strongest…
Descriptors: Short Term Memory, Long Term Memory, Testing, Expectation
Guher Gorgun; Okan Bulut – Education and Information Technologies, 2024
In light of the widespread adoption of technology-enhanced learning and assessment platforms, there is a growing demand for innovative, high-quality, and diverse assessment questions. Automatic Question Generation (AQG) has emerged as a valuable solution, enabling educators and assessment developers to efficiently produce a large volume of test…
Descriptors: Computer Assisted Testing, Test Construction, Test Items, Automation
Mandeep K. Dhami; Ian K. Belton; Peter De Werd; Velichka Hadzhieva; Lars Wicke – Cognitive Research: Principles and Implications, 2024
We empirically examined the effectiveness of how the Analysis of Competing Hypotheses (ACH) technique structures task information to help reduce confirmation bias (Study 1) and the portrayal of intelligence analysts as suffering from such bias (Study 2). Study 1 (N = 161) showed that individuals presented with hypotheses in rows and evidence items…
Descriptors: Task Analysis, Decision Making, Credibility, Cognitive Processes
Jian Zhao; Elaine Chapman; Peyman G. P. Sabet – Education Research and Perspectives, 2024
The launch of ChatGPT and the rapid proliferation of generative AI (GenAI) have brought transformative changes to education, particularly in the field of assessment. This has prompted a fundamental rethinking of traditional assessment practices, presenting both opportunities and challenges in evaluating student learning. While numerous studies…
Descriptors: Literature Reviews, Artificial Intelligence, Evaluation Methods, Student Evaluation
Xiao Liu; Zhiyong Zhang; Lijuan Wang – Grantee Submission, 2024
In psychology, researchers are often interested in testing hypotheses about mediation, such as testing the presence of a mediation effect of a treatment (e.g., intervention assignment) on an outcome via a mediator. An increasingly popular approach to testing hypotheses is the Bayesian testing approach with Bayes factors (BFs). Despite the growing…
Descriptors: Sample Size, Bayesian Statistics, Programming Languages, Simulation
Thomas, Michael L.; Brown, Gregory G.; Patt, Virginie M.; Duffy, John R. – Educational and Psychological Measurement, 2021
The adaptation of experimental cognitive tasks into measures that can be used to quantify neurocognitive outcomes in translational studies and clinical trials has become a key component of the strategy to address psychiatric and neurological disorders. Unfortunately, while most experimental cognitive tests have strong theoretical bases, they can…
Descriptors: Adaptive Testing, Computer Assisted Testing, Cognitive Tests, Psychopathology
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
Geraci, Lisa; Kurpad, Nayantara; Tirso, Robert; Gray, Kathryn N.; Wang, Yan – Metacognition and Learning, 2023
Students often make incorrect predictions about their exam performance, with the lowest-performing students showing the greatest inaccuracies in their predictions. The reasons why low-performing students make inaccurate predictions are not fully understood. In two studies, we tested the hypothesis that low-performing students erroneously predict…
Descriptors: Prediction, Tests, Scores, Low Achievement
Finch, W. Holmes – Educational and Psychological Measurement, 2023
Psychometricians have devoted much research and attention to categorical item responses, leading to the development and widespread use of item response theory for the estimation of model parameters and identification of items that do not perform in the same way for examinees from different population subgroups (e.g., differential item functioning…
Descriptors: Test Bias, Item Response Theory, Computation, Methods
Taylor, Lynda – Language Testing, 2023
As applied linguists and language testers, we are in the business of "doing language". For many of us, language learning is a lifelong passion, and we invest similar enthusiasm in our language assessment research and testing practices. Language is also the vehicle through which we communicate that enthusiasm to others, sharing our…
Descriptors: Language Tests, Applied Linguistics, Language Usage, Discourse Analysis
Doherty, Jennifer H.; Cerchiara, Jack A.; Wenderoth, Mary Pat – Advances in Physiology Education, 2023
The basis for mastering neurophysiology is understanding ion movement across cell membranes. The Electrochemical Gradients Assessment Device (EGAD) is a 17-item test assessing students' understanding of fundamental concepts of neurophysiology, e.g., electrochemical gradients and resistance, synaptic transmission, and stimulus strength. We…
Descriptors: Undergraduate Students, Thinking Skills, Testing, Selection
Wilson, Scott C. – ProQuest LLC, 2023
The purpose of this study was to better understand educators' perceptions of testing accommodations decision-making practices at New York area independent schools. Through the analysis and coding of questionnaires, interviews, and documents, this study explored perceptions and descriptions of testing accommodations decision-making procedures as…
Descriptors: Testing Accommodations, Decision Making, Educational Policy, Educational Practices
Paul T. von Hippel – Annenberg Institute for School Reform at Brown University, 2023
Longitudinal studies can produce biased estimates of learning if children miss tests. In an application to summer learning, we illustrate how missing test scores can create an illusion of large summer learning gaps when true gaps are close to zero. We demonstrate two methods that reduce bias by exploiting the correlations between missing and…
Descriptors: Testing Problems, Scores, Educational Research, Longitudinal Studies
Ted M. Clark; Daniel A. Turner; Darian C. Rostam – Journal of Chemical Education, 2022
Administering exams in large enrollment courses is challenging and systems in place for accomplishing this task were upended in the spring of 2020 when a sudden transformation to online instruction and testing occurred due to the COVID-19 pandemic. In the following year, when courses remained online, approaches to improve exam security included…
Descriptors: Chemistry, Science Instruction, Supervision, Computer Assisted Testing
Sireci, Stephen G.; Suarez-Alvarez, Javier – Educational Measurement: Issues and Practice, 2022
The COVID-19 pandemic negatively affected the quality of data from educational testing programs. These data were previously used for many important purposes ranging from placing students in instructional programs to school accountability. In this article, we draw from the research design literature to point out the limitations inherent in…
Descriptors: Decision Making, Data Use, COVID-19, Pandemics