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Ivan Tomic; Paul M. Bays – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
Population coding models provide a quantitative account of visual working memory (VWM) retrieval errors with a plausible link to the response characteristics of sensory neurons. Recent work has provided an important new perspective linking population coding to variables of signal detection, including d-prime, and put forward a new hypothesis: that…
Descriptors: Error Patterns, Short Term Memory, Visual Perception, Recall (Psychology)
Babu Noushad; Pascal W. M. Van Gerven; Anique B. H. de Bruin – Advances in Health Sciences Education, 2024
Studying texts constitutes a significant part of student learning in health professions education. Key to learning from text is the ability to effectively monitor one's own cognitive performance and take appropriate regulatory steps for improvement. Inferential cues generated during a learning experience typically guide this monitoring process. It…
Descriptors: Metacognition, Prediction, Cues, Visual Aids
Michael R. Matthews – Science & Education, 2024
Beginning 60 years ago, Thomas Kuhn has had a significant impact across the academy and on culture more widely. And he had a great impact on science education research, theorising, and pedagogy. For the majority of educators, the second edition (1970) of his "Structure of Scientific Revolutions" (Kuhn, 1970a) articulated the very nature…
Descriptors: Scientific Principles, Philosophy, Science Education, Educational History
Matt Homer – Advances in Health Sciences Education, 2024
Quantitative measures of systematic differences in OSCE scoring across examiners (often termed examiner stringency) can threaten the validity of examination outcomes. Such effects are usually conceptualised and operationalised based solely on checklist/domain scores in a station, and global grades are not often used in this type of analysis. In…
Descriptors: Examiners, Scoring, Validity, Cutting Scores
Gloria G. Parras; José M. Delgado-García; Juan Carlos López-Ramos; Agnès Gruart; Rocío Leal-Campanario – npj Science of Learning, 2024
Learning is a functional state of the brain that should be understood as a continuous process, rather than being restricted to the very moment of its acquisition, storage, or retrieval. The cerebellum operates by comparing predicted states with actual states, learning from errors, and updating its internal representation to minimize errors. In…
Descriptors: Brain Hemisphere Functions, Animals, Responses, Classical Conditioning
Laura E. Matzen; Zoe N. Gastelum; Breannan C. Howell; Kristin M. Divis; Mallory C. Stites – Cognitive Research: Principles and Implications, 2024
This study addressed the cognitive impacts of providing correct and incorrect machine learning (ML) outputs in support of an object detection task. The study consisted of five experiments that manipulated the accuracy and importance of mock ML outputs. In each of the experiments, participants were given the T and L task with T-shaped targets and…
Descriptors: Artificial Intelligence, Error Patterns, Decision Making, Models
Angelika Kullberg; Camilla Björklund; Ulla Runesson Kempe – Educational Studies in Mathematics, 2024
The decomposition of numbers when solving subtraction tasks is regarded as more powerful than counting-based strategies. Still, many students fail to solve subtraction tasks despite using decomposition. To shed light upon this issue, we take a variation theoretical perspective (Marton, 2015) seeing learning as a function of discerning critical…
Descriptors: Subtraction, Number Concepts, Grade 2, Elementary School Students
Xin Qiao; Akihito Kamata; Cornelis Potgieter – Grantee Submission, 2024
Oral reading fluency (ORF) assessments are commonly used to screen at-risk readers and evaluate interventions' effectiveness as curriculum-based measurements. Similar to the standard practice in item response theory (IRT), calibrated passage parameter estimates are currently used as if they were population values in model-based ORF scoring.…
Descriptors: Oral Reading, Reading Fluency, Error Patterns, Scoring
Xinping Zhang – International Journal of Information and Communication Technology Education, 2024
As technology continues to evolve, the process of English translation has become easier. A technology called widget, which is used in modern research, provides an efficient graphical user interface for the interaction between the user and the application. This paper compares the newly proposed wireless widget system with existing models of English…
Descriptors: Internet, Computer Software, Information Technology, Information Storage
Mark White; Matt Ronfeldt – Educational Assessment, 2024
Standardized observation systems seek to reliably measure a specific conceptualization of teaching quality, managing rater error through mechanisms such as certification, calibration, validation, and double-scoring. These mechanisms both support high quality scoring and generate the empirical evidence used to support the scoring inference (i.e.,…
Descriptors: Interrater Reliability, Quality Control, Teacher Effectiveness, Error Patterns
Benjamin Adu Obeng; Gideon Mensah Banson; Ebenezer Owusu; Raphael Owusu – Cogent Education, 2024
Students' competence in solving trigonometry has been in doubt but little attention has been given in the area of research. An assessment of students' answers to trigonometry problems is crucial to dealing with their conceptual challenges. This study employed a descriptive qualitative research design, with the goal of evaluating errors made by…
Descriptors: High School Students, Error Patterns, Mathematics Instruction, Trigonometry
Sean Larsen; Steve Strand; Kristen Vroom – International Journal of Research in Undergraduate Mathematics Education, 2024
This paper reports on a two-part investigation into how students think about and use summation (sigma) notation. During an instructional design experiment, two participating students struggled with this notation, but also reasoned about it in creative ways. This motivated a follow-up study in which we administered a free-response three-item survey…
Descriptors: Undergraduate Students, Thinking Skills, Mathematics Skills, College Mathematics
Hannah Sawyer; Colin Bannard; Julian Pine – Language Learning, 2024
Verb-marking errors such as "she play football" and "daddy singing" are a hallmark feature of English-speaking children's speech. We investigated the proposal that these errors are input-driven errors of commission arising from the high relative frequency of subject + unmarked verb sequences in well-formed child-directed…
Descriptors: Error Patterns, Verbs, Predictor Variables, Incidence
Mariana Alvidrez; Nicole Louie; Mourat Tchoshanov – Journal of Mathematics Teacher Education, 2024
This interpretive cross-case study investigates complexity in the ways teachers frame mistakes and the reasons behind their framing, challenging the assumption in the literature that productive beliefs about errors generate productive error-handling practices, while unproductive beliefs result in unproductive practices. The study draws on…
Descriptors: Mathematics Instruction, Teaching Methods, Epistemology, Error Patterns
Ori Ossmy; Danyang Han; Patrick MacAlpine; Justine Hoch; Peter Stone; Karen E. Adolph – Developmental Science, 2024
What is the optimal penalty for errors in infant skill learning? Behavioral analyses indicate that errors are frequent but trivial as infants acquire foundational skills. In learning to walk, for example, falling is commonplace but appears to incur only a negligible penalty. Behavioral data, however, cannot reveal whether a low penalty for falling…
Descriptors: Physical Activities, Robotics, Error Patterns, Infants