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Charles G. Minard – Teaching Statistics: An International Journal for Teachers, 2025
Controlling Type 1 error and encouraging reproducible research are important in clinical and translational research. These concepts are frequently discussed in lectures with mathematical language, analytic examples, and probability distributions that demonstrate the issues. However, first-time learners in biostatistics courses focusing on…
Descriptors: Statistics Education, Error Patterns, Probability, Demonstrations (Educational)
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Mousa Javidialsaadi; Scott T. Albert; Badr Moufarrej S. Al Mutairi; Jinsung Wang – npj Science of Learning, 2025
When humans encounter the same perturbation twice, they typically adapt faster the second time, a phenomenon called savings. Studies have examined savings following adaptation to a gradually introduced perturbation, with mixed results. These inconsistencies might be caused by differences in how behavior returns to its baseline state during the…
Descriptors: Psychomotor Skills, Motor Reactions, Error Patterns, Feedback (Response)
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Rebecca Treiman; Brett Kessler; Jacqueline Hulslander; Richard K. Olson; Erik Willcutt; Sally Wadsworth – Reading and Writing: An Interdisciplinary Journal, 2025
Spelling is a measure of the precision of lexical representations, which is important for word reading, comprehension, and writing. Performance on spelling tests is typically assessed in terms of correctness. We asked whether nonbinary measures of spelling errors provide additional information about lexical quality. Letter distance was the number…
Descriptors: Spelling, Error Patterns, Predictor Variables, Alphabets
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Tanja C. Roembke; Bob McMurray – Cognitive Science, 2025
Computational and animal models suggest that the unlearning or pruning of incorrect meanings matters for word learning. However, it is currently unclear how such pruning occurs during word learning and to what extent it depends on supervised and unsupervised learning. In two experiments (N[subscript 1] = 40; N[subscript 2] = 42), adult…
Descriptors: Vocabulary Development, Computation, Models, Accuracy
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Melina A. Kunar; Olugbemi Moronfolu; Rupam Jagota – Cognitive Research: Principles and Implications, 2025
Previous research has found that people miss a large proportion of targets that appear rarely. This Low Prevalence (LP) Effect has implications for applied tasks such as mammography. The current study investigated whether the LP effect can be reduced by feedback and internal incentives, which affect motivation. Experiment 1 found that miss errors…
Descriptors: Feedback (Response), Incentives, Accuracy, Motivation
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Jess Sullivan; Joseph Alvarez; Sophie Cramer-Benjamin; Sadie Holcomb; Melissa Nolan; Alex Morabito; David Barner – Journal of Numerical Cognition, 2025
When children first learn to count, what do they understand about the structure of the count system? The present study investigated English-speaking children's ability to generalize the rules that structure their count list to novel contexts. A total of N = 86 children (3;0-6;11) completed a battery of tasks aimed at measuring their understanding…
Descriptors: Computation, Young Children, Novelty (Stimulus Dimension), English
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Muntasir Hoq; Ananya Rao; Reisha Jaishankar; Krish Piryani; Nithya Janapati; Jessica Vandenberg; Bradford Mott; Narges Norouzi; James Lester; Bita Akram – International Educational Data Mining Society, 2025
In Computer Science (CS) education, understanding factors contributing to students' programming difficulties is crucial for effective learning support. By identifying specific issues students face, educators can provide targeted assistance to help them overcome obstacles and improve learning outcomes. While identifying sources of struggle, such as…
Descriptors: Computer Science Education, Programming, Misconceptions, Error Patterns
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Marc Deosdad-Díez; Josep Marco-Pallarés – npj Science of Learning, 2025
Rhythm production requires the integration of perceptual predictions and performance monitoring mechanisms to adjust actions, yet the role of auditory prediction remains underexplored. To address this, electroencephalography was recorded from 70 non-musicians as they synchronized with and reproduced rhythms containing notes of varying…
Descriptors: Prediction, Language Rhythm, Music, Auditory Perception
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Yasin Memis – Journal of Pedagogical Research, 2025
The integration of artificial intelligence (AI) into mathematical problem-solving has shown significant potential to enhance student learning and performance. However, while AI tools offer numerous benefits, they are prone to occasional conceptual and arithmetic errors that can mislead users and obscure understanding. This research examines such…
Descriptors: Artificial Intelligence, Mathematics Instruction, Problem Solving, Error Patterns
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Mansour Saleh Alabdulaziz – Educational Process: International Journal, 2025
Background/purpose: This study aimed to identify common mistakes made in master's theses on mathematics education by Saudi mathematics students at lAU in Saudi Arabia, as determined through a content analysis, and to compare these with the views of faculty members. Materials/methods: A descriptive approach (analytical and survey) was employed. The…
Descriptors: Foreign Countries, Masters Theses, Error Patterns, Mathematics Education
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Martin Abt; Katharina Loibl; Timo Leuders; Wim Van Dooren; Frank Reinhold – Educational Studies in Mathematics, 2025
In the boxplot, the box always represents -- regardless of its area -- the middle half of the data and thus a measure of variability (interquartile range). However, when students first learn about boxplots, they are usual already familiar with other forms of statistical representations (e.g., bar or circle graphs) in which a larger area represents…
Descriptors: College Students, Data Analysis, Graphs, Error Patterns
Babawande Emmanuel Olawale; Saidat Adeniji; Zizipho Mabhoza – Mathematics Education Research Group of Australasia, 2025
This paper analyses learners' common errors in simplifying algebraic problems. 102 Grade 10 learners from three rural schools in South Africa participated in the study. Following a quantitative approach, content analysis of learners' responses to algebraic tests revealed that while learners commit several errors in algebraic problems, encoding and…
Descriptors: Algebra, Grade 10, High School Students, Secondary School Mathematics
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Anna Rechtácková; Radek Pelánek; Tomáš Effenberger – ACM Transactions on Computing Education, 2025
Code quality is a critical aspect of programming, as high-quality code is easier to maintain, and code maintenance constitutes the majority of software costs. Consequently, code quality should be emphasized in programming education. While previous research has identified numerous code quality defects commonly made by students, the current state…
Descriptors: Programming, Computer Science Education, Error Patterns, Automation
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Chenyu Hou; Shelbi L. Kuhlmann; Jeffrey A. Greene; Matthew L. Bernacki; Kelly A. Hogan – Metacognition and Learning, 2025
The shift towards active pedagogies in higher education that emphasize students' engagement in their own learning in and outside of the classroom has increased the ubiquity of online learning and assessment platforms for engaging students in such learning. Online learning requires self-regulated learning, which is a cyclical and temporal process…
Descriptors: Learning Processes, Help Seeking, Assignments, Electronic Learning
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Kelly J. Williams; Christina Novelli – Intervention in School and Clinic, 2025
There is a strong connection between word reading and spelling development. Students' spelling can provide insights into their word-level reading skills and inform intensive reading interventions delivered within a data-based individualization framework. The purpose of this article is to describe the linguistic knowledge bases that connect word…
Descriptors: Intervention, Spelling, Reading, Special Education
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