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Goffman, Lisa; Factor, Laiah; Barna, Mitchell; Cai, Fuwen; Feld, Ilana – Journal of Speech, Language, and Hearing Research, 2023
Purpose: Sign language, like spoken language, incorporates phonological and articulatory (or motor) processing components. Thus, the learning of novel signs, like novel spoken word forms, may be problematic for children with developmental language disorder (DLD). In the present work, we hypothesize that phonological and articulatory deficits in…
Descriptors: Phonological Awareness, Articulation Impairments, Developmental Delays, Language Impairments
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van Sassen, Charlotte G. M.; van den Berg, Pieter J.; Mamede, Silvia; Knol, Lilian; Eikens-Jansen, Manon P.; van den Broek, Walter W.; Bindels, Patrick J. E.; Zwaan, Laura – Advances in Health Sciences Education, 2023
Diagnostic reasoning is an important topic in General Practitioners' (GPs) vocational training. Interestingly, research has paid little attention to the content of the cases used in clinical reasoning education. Malpractice claims of diagnostic errors represent cases that impact patients and that reflect potential knowledge gaps and contextual…
Descriptors: Vocational Education, Educational Malpractice, Grievance Procedures, Medical Education
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Er, Zübeyde – International Journal of Research in Education and Science, 2023
One of the reasons why students fail in mathematics courses is that the problems used in the lessons are abstract. In this context, it is important to embody the problems used in the lessons. Fermi problems are open-ended problems, a type of problem that reflects real-life situations that are solved by making a series of predictions. In the…
Descriptors: Problem Solving, Mathematics Instruction, Relevance (Education), Preservice Teacher Education
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Basman, Munevver – International Journal of Assessment Tools in Education, 2023
To ensure the validity of the tests is to check that all items have similar results across different groups of individuals. However, differential item functioning (DIF) occurs when the results of individuals with equal ability levels from different groups differ from each other on the same test item. Based on Item Response Theory and Classic Test…
Descriptors: Test Bias, Test Items, Test Validity, Item Response Theory
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Costello, Eamon; Johnston, Keith; Wade, Vincent – Interactive Learning Environments, 2023
This research investigated how the bug tracker database of the Virtual Learning Environment (VLE) Moodle is developed as an application of crowd work. The bug tracker is used by software developers, who write and maintain Moodle's code, but also by a wider public world of ordinary Moodle users who can report bugs. Despite many studies of the…
Descriptors: Electronic Learning, Educational Technology, Computer Software, Cooperation
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Cline, Kelly S.; Huckaby, David A.; Zullo, Holly – PRIMUS, 2023
Using clickers in the statistics classroom can help students identify and understand common errors and misconceptions through a combination of surprise and discussion. Students are presented with multiple-choice questions that they discuss with each other and then vote on; a class-wide discussion follows. Questions for which many students vote for…
Descriptors: Mathematics Instruction, Error Patterns, Misconceptions, Statistics Education
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Cowan, Nelson; Elliott, Emily M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
We used the timing of serial recall in several situations to reveal important aspects of recall groupings that participants construct and the reasons those groupings occur. We examined the timing of responses in the recall of digit strings within two published experiments. Cowan, Saults, Elliott, and Moreno (2002) examined memory for nine-item…
Descriptors: Serial Ordering, Recall (Psychology), Reaction Time, Short Term Memory
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Analisa Fitria; Subanji; Susiswo; Hery Susanto – Mathematics Teaching Research Journal, 2023
This study diagnoses and explores year eight students' misconceptions and mistakes in algebra. An in-depth exploration of students' misconceptions were carried out by conducting interviews based on the students' work as outlined in a cognitive map. Based on the cognitive maps, it can be seen that the students emphasize procedural knowledge rather…
Descriptors: Cognitive Mapping, Misconceptions, Algebra, Mathematical Concepts
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Aneta Gacovska Barandovska; Boce Mitrevski; Lambe Barandovski – International Journal of Mathematical Education in Science and Technology, 2023
Problem-solving is an essential part of teaching, learning, and assessment of physics and mathematics. The continuing educational reforms have a deep impact on everyday teaching as well as working with talented students. In the Macedonian educational system, the curricula do not explicitly point out the connection between mathematics and physics,…
Descriptors: Problem Solving, Geometry, Mathematics Instruction, Optics
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Angela Elisabeth Stott – Journal of Chemical Education, 2023
Presenters' pedagogical choices are strongly affected by whether they view knowledge as coherent or fragmented. This mixed-methods survey study seeks to contribute to epistemological discussions and associated pedagogical suggestions in the context of mole ratio related mistakes evident in stoichiometry calculations performed by in-service…
Descriptors: Stoichiometry, Faculty Development, Error Patterns, Developing Nations
Colleen O'Donnell Oppenzato – ProQuest LLC, 2024
Many U.S. students possess only a weak knowledge of fraction arithmetic. I hypothesize that textbooks are a critical reason for students' poor performance on fraction arithmetic. This is not because of what textbooks contain but rather because of what they lack. Distributions of fraction arithmetic problems in textbooks are imbalanced, with…
Descriptors: Fractions, Arithmetic, Mathematics Instruction, Comparative Analysis
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Guozhu Ding; Xiangyi Shi; Shan Li – Education and Information Technologies, 2024
In this study, we developed a classification system of programming errors based on the historical data of 680,540 programming records collected on the Online Judge platform. The classification system described six types of programming errors (i.e., syntax, logical, type, writing, misunderstanding, and runtime errors) and their connections with…
Descriptors: Programming, Computer Science Education, Classification, Graphs
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Geoffrey Currie; Josie Currie; Sam Anderson; Johnathan Hewis – Health Education Journal, 2024
Introduction: In Australia, 54.3% of medical students are women yet they remain under-represented in stereotypical perspectives of medicine. While potentially transformative, generative artificial intelligence (genAI) has the potential for errors, misrepresentations and bias. GenAI text-to-image production could reinforce gender biases making it…
Descriptors: Gender Bias, Artificial Intelligence, Computer Software, Medical Education
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Norbert Noster; Sebastian Gerber; Hans-Stefan Siller – Digital Experiences in Mathematics Education, 2024
The use of large language models like ChatGPT is widely discussed for educational purposes. Using this technology requires teachers to have appropriate competences that incorporate knowledge of how to make use of this technology. In this study, we investigate pre-service teachers' knowledge through the lens of the KTMT model ("Knowledge for…
Descriptors: Preservice Teachers, Mathematics Skills, Problem Solving, Technology Uses in Education
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Anastasia Chouvalova; Anisha S. Navlekar; Devin J. Mills; Mikayla Adams; Sami Daye; Fatima De Anda; Lisa B. Limeri – International Journal of STEM Education, 2024
Background: Students employ a variety of study strategies to learn and master content in their courses. Strategies vary widely in their effectiveness for promoting deep, long-term learning, yet most students use ineffective strategies frequently. Efforts to educate students about effective study strategies have revealed that knowledge about…
Descriptors: Undergraduate Students, Error Patterns, Student Attitudes, Learning Strategies
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