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Martínez-Hernández, Ana-Isabel; Bellés-Fortuño, Begoña – International Journal of English Studies, 2021
The inclusion of students with disabilities in the education system results in content or assessment accommodations to suit the students' special needs and to ensure they have acquired the objectives listed in the curriculum. In this paper, we aim at proposing different ways to accommodate a university English language test to a partially blind…
Descriptors: Students with Disabilities, Visual Impairments, Academic Accommodations (Disabilities), Student Needs
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Povey, Hilary; Angier, Corinne – FORUM: for promoting 3-19 comprehensive education, 2021
In England we are currently in the grip of a damaging hegemonic discourse in the field of education. Unquestionable goods include "standards," "aspiration," "effectiveness," "measurable performance" and -- the subject of this contribution - "progress." We discuss how "progress" is…
Descriptors: Foreign Countries, Educational Trends, Educational Practices, Government Role
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Wetzler, Elizabeth L.; Pyke, Aryn A.; Werner, Adam – SAGE Open, 2021
Subsequent recall is improved if students try to recall target material during study (self-testing) versus simply re-reading it. This effect is consistent with the notion of "desirable difficulties." If the learning experience involves difficulties that induce extra effort, then retention may be improved. Not all difficulties are…
Descriptors: Layout (Publications), Difficulty Level, Recall (Psychology), Reading Fluency
Das, Bidyut; Majumder, Mukta; Phadikar, Santanu; Sekh, Arif Ahmed – Research and Practice in Technology Enhanced Learning, 2021
Learning through the internet becomes popular that facilitates learners to learn anything, anytime, anywhere from the web resources. Assessment is most important in any learning system. An assessment system can find the self-learning gaps of learners and improve the progress of learning. The manual question generation takes much time and labor.…
Descriptors: Automation, Test Items, Test Construction, Computer Assisted Testing
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Matayoshi, Jeffrey; Karumbaiah, Shamya – International Educational Data Mining Society, 2021
Research studies in Educational Data Mining (EDM) often involve several variables related to student learning activities. As such, it may be necessary to run multiple statistical tests simultaneously, thereby leading to the problem of multiple comparisons. The Benjamini-Hochberg (BH) procedure is commonly used in EDM research to address this…
Descriptors: Statistical Analysis, Validity, Classification, Hypothesis Testing
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Olla, Rita; Houmanfar, Ramona A.; Esquierdo-Leal, Jovonnie L.; Crosswell, Laura H. – Journal of Behavioral Education, 2023
Modern societies need higher education systems that are strongly grounded on scientific knowledge and evidence-based teaching tools. This laboratory-based study extended Chase and Houmanfar (2009), examining the effects of basic and elaborate feedback on participants' performance measured with two sets of tests administered after a college-level…
Descriptors: Feedback (Response), Student Evaluation, Performance Based Assessment, College Students
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Yager, Zali; Alfrey, Laura; Young, Lisa – Journal of Teaching in Physical Education, 2023
Purpose: Fitness testing is common within physical education, but there has been considerable debate about the pedagogical purpose and potential psychological implications of this practice. The aim of this study was to conduct a pilot experimental study to determine the impact of traditional fitness testing approaches on the body image,…
Descriptors: Physical Education, Physical Fitness, Testing, Self Esteem
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Rutkowski, David; Rutkowski, Leslie; Valdivia, Dubravka Svetina; Canbolat, Yusuf; Underhill, Stephanie – Applied Measurement in Education, 2023
Several states in the US have removed time limits on their state assessments. In Indiana, where this study takes place, the state assessment is both untimed during the testing window and allows unlimited breaks during the testing session. Using grade 3 and 8 math and English state assessment data, in this paper we focus on time used for testing…
Descriptors: Testing, Time, Intervals, Academic Achievement
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von Davier, Matthias; Bezirhan, Ummugul – Educational and Psychological Measurement, 2023
Viable methods for the identification of item misfit or Differential Item Functioning (DIF) are central to scale construction and sound measurement. Many approaches rely on the derivation of a limiting distribution under the assumption that a certain model fits the data perfectly. Typical DIF assumptions such as the monotonicity and population…
Descriptors: Robustness (Statistics), Test Items, Item Analysis, Goodness of Fit
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Casabianca, Jodi M.; Donoghue, John R.; Shin, Hyo Jeong; Chao, Szu-Fu; Choi, Ikkyu – Journal of Educational Measurement, 2023
Using item-response theory to model rater effects provides an alternative solution for rater monitoring and diagnosis, compared to using standard performance metrics. In order to fit such models, the ratings data must be sufficiently connected in order to estimate rater effects. Due to popular rating designs used in large-scale testing scenarios,…
Descriptors: Item Response Theory, Alternative Assessment, Evaluators, Research Problems
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Asrial, Asrial; Syahrial, Syahrial; Kurniawan, Dwi Agus; Aldila, Febri Tia; Iqbal, Muhammad – Journal of Technology and Science Education, 2023
This study aims to see the effect of student perceptions on web-based character assessment on the results of student character assessment. The population in this study was a junior high school in Batanghari Regency with a sample of 322 students using the purposive sampling technique. Quantitative methods are used in this study with descriptive and…
Descriptors: Junior High School Students, Foreign Countries, Values Education, Web Browsers
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Hertog, Steffen – Sociological Methods & Research, 2023
In mixed methods approaches, statistical models are used to identify "nested" cases for intensive, small-n investigation for a range of purposes, including notably the examination of causal mechanisms. This article shows that under a commonsense interpretation of causal effects, large-n models allow no reliable conclusions about effect…
Descriptors: Case Studies, Generalization, Prediction, Mixed Methods Research
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Ormerod, Christopher; Lottridge, Susan; Harris, Amy E.; Patel, Milan; van Wamelen, Paul; Kodeswaran, Balaji; Woolf, Sharon; Young, Mackenzie – International Journal of Artificial Intelligence in Education, 2023
We introduce a short answer scoring engine made up of an ensemble of deep neural networks and a Latent Semantic Analysis-based model to score short constructed responses for a large suite of questions from a national assessment program. We evaluate the performance of the engine and show that the engine achieves above-human-level performance on a…
Descriptors: Computer Assisted Testing, Scoring, Artificial Intelligence, Semantics
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Henninger, Mirka; Debelak, Rudolf; Strobl, Carolin – Educational and Psychological Measurement, 2023
To detect differential item functioning (DIF), Rasch trees search for optimal split-points in covariates and identify subgroups of respondents in a data-driven way. To determine whether and in which covariate a split should be performed, Rasch trees use statistical significance tests. Consequently, Rasch trees are more likely to label small DIF…
Descriptors: Item Response Theory, Test Items, Effect Size, Statistical Significance
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Alexandron, Giora; Wiltrout, Mary Ellen; Berg, Aviram; Gershon, Sa'ar Karp; Ruipérez-Valiente, José A. – Journal of Computer Assisted Learning, 2023
Background: Massive Open Online Courses (MOOCs) have touted the idea of democratizing education, but soon enough, this utopian idea collided with the reality of finding sustainable business models. In addition, the promise of harnessing interactive and social web technologies to promote meaningful learning was only partially successful. And…
Descriptors: MOOCs, Evaluation, Models, Learner Engagement
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