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Jiang, Zhuhan; Huang, Jiansheng – IEEE Transactions on Learning Technologies, 2022
Advanced digital technologies and social media have greatly improved both the learning experience and the assessment convenience, while inadvertently facilitated potential plagiarism and collaborative cheating at the same time. In this article, we will focus on the strategies and their technological implementations to run exams, or in-class tests…
Descriptors: Plagiarism, Educational Technology, Computer Assisted Testing, Cheating
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Kathryn R. Glodowski; Yusuke Hayashi – Journal of Applied Behavior Analysis, 2025
The testing effect is a well-established phenomenon in cognitive psychology that refers to enhanced long-term retention of information due to active recalling through testing. Following a cross-disciplinary translation of the testing effect into behavioral principles, we systematically replicated the previous findings in a behavior-analytic…
Descriptors: Testing, Replication (Evaluation), Tests, Test Length
Gagan Shergill – Communique, 2025
Although school psychologists often comment on examinee motivation in their reports, systematic evaluation of effort is not common practice. Empirical assessment of performance effort provides critical evidence for the validity of evaluations and will likely lead to more valid assessments, recommendations, and placements. This article focuses on…
Descriptors: Testing, Student Behavior, Student Motivation, Student Evaluation
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Mara E. McFadden; Sara J. Finney – International Journal of Testing, 2025
Priming examinees with questions about intended effort prior to testing has been shown to significantly increase examinee expended effort via self-reported effort and response-time effort. However, this question-behavior effect seems to wear off later in a testing session. We examined whether administering a second "dose" of the…
Descriptors: Priming, Test Content, Student Behavior, Student Motivation
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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
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Elena C. Papanastasiou; Michalis P. Michaelides – Large-scale Assessments in Education, 2024
Test-taking behavior is a potential source of construct irrelevant variance for test scores in international large-scale assessments where test-taking effort, motivation, and behaviors in general tend to be confounded with test scores. In an attempt to disentangle this relationship and gain further insight into examinees' test-taking processes,…
Descriptors: Grade 4, Testing, Student Behavior, Test Wiseness
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Denizer Yildirim; Hale Ilgaz; Alper Bayazit; Gökhan Akçapinar – International Review of Research in Open and Distributed Learning, 2023
One of the biggest challenges for online learning is upholding academic integrity in online assessments. In particular, institutions and faculties attach importance to exam security and academic dishonesty in the online learning process. The aim of this study was to compare the test-taking behaviors and academic achievements of students in…
Descriptors: Student Behavior, Supervision, Electronic Learning, Academic Achievement
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Katarina E. Schaefer; Sara J. Finney – Research & Practice in Assessment, 2025
Some college students may be disengaged when completing assessments for institutional accountability and improvement. If disengagement is not identified and the resulting data are removed, the validity of score interpretations suffers. Using data gathered from students who completed non-consequential assessments for institutional accountability,…
Descriptors: College Students, Student Evaluation, Accountability, Student Behavior
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Elise V. van Wijk; Floris M. van Blankenstein; Jeroen Donkers; Roemer J. Janse; Jacqueline Bustraan; Liesbeth G. M. Adelmeijer; Eline A. Dubois; Friedo W. Dekker; Alexandra M. J. Langers – Advances in Health Sciences Education, 2024
Despite the increasing implementation of formative assessment in medical education, its' effect on learning behaviour remains questionable. This effect may depend on how students value formative, and summative assessments differently. Informed by Expectancy Value Theory, we compared test preparation, feedback use, and test-taking motivation of…
Descriptors: Progress Monitoring, Medical Education, Feedback (Response), Student Motivation
Xue, Kang; Huggins-Manley, Anne Corinne; Leite, Walter – Educational and Psychological Measurement, 2022
In data collected from virtual learning environments (VLEs), item response theory (IRT) models can be used to guide the ongoing measurement of student ability. However, such applications of IRT rely on unbiased item parameter estimates associated with test items in the VLE. Without formal piloting of the items, one can expect a large amount of…
Descriptors: Virtual Classrooms, Artificial Intelligence, Item Response Theory, Item Analysis
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Maciej Koscielniak; Jolanta Enko; Agata Gasiorowska – Journal of Academic Ethics, 2024
Examination dishonesty is a global problem that became particularly critical after the outbreak of the COVID-19 pandemic and the shift to remote learning. Academic research has often examined this phenomenon as only one aspect of a broader concept of academic dishonesty and as a one-dimensional construct. This article builds on existing knowledge…
Descriptors: Foreign Countries, Students, Ethics, Cheating
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Patel, Nirmal; Sharma, Aditya; Shah, Tirth; Lomas, Derek – Journal of Educational Data Mining, 2021
Process Analysis is an emerging approach to discover meaningful knowledge from temporal educational data. The study presented in this paper shows how we used Process Analysis methods on the National Assessment of Educational Progress (NAEP) test data for modeling and predicting student test-taking behavior. Our process-oriented data exploration…
Descriptors: Learning Analytics, National Competency Tests, Evaluation Methods, Prediction
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Steven L. Wise; Megan R. Kuhfeld; Marlit Annalena Lindner – Applied Measurement in Education, 2024
When student achievement is assessed, we seek to elicit a student's maximum performance -- a goal requiring the assumption that the student is fully engaged. Otherwise, to the extent that disengagement occurs, test performance is likely to suffer. Effectively managing test-taking disengagement requires an understanding of the testing conditions…
Descriptors: Testing, Attention Span, Learner Engagement, Time Factors (Learning)
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Eunsook Kim; Nathaniel von der Embse – Journal of Experimental Education, 2024
Using data from multiple informants has long been considered best practice in education. However, multiple informants often disagree on similar constructs, complicating decision-making. Polynomial regression and response-surface analysis (PRA) is often used to test the congruence effect between multiple informants on an outcome. However, PRA…
Descriptors: Congruence (Psychology), Information Sources, Best Practices, Regression (Statistics)
Shuxin Di – ProQuest LLC, 2022
Taking tests can trigger multiple emotions. To regulate emotions we might experience during test-taking situations, strategies such as reappraisal and suppression are often used. This study aimed to investigate if college students' cultural values affect their emotion regulation in test-taking situations. The sample included 298 college students.…
Descriptors: Cultural Influences, Self Management, Psychological Patterns, Testing
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