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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)
Aoqi Li; Johan Hulleman; Jeremy M. Wolfe – Cognitive Research: Principles and Implications, 2024
In any visual search task in the lab or in the world, observers will make errors. Those errors can be categorized as "deterministic": If you miss this target in this display once, you will definitely miss it again. Alternatively, errors can be "stochastic", occurring randomly with some probability from trial to trial.…
Descriptors: Visual Perception, Visual Stimuli, Error Patterns, Probability
Matthew R. Dougherty; David Halpern; Michael J. Kahana – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Although possible to recall in both forward and backward order, recall proceeds most naturally in the order of encoding. Prior studies ask whether and how forward and backward recall differ. We reexamine this classic question by studying recall dynamics while varying the predictability and timing of forward and backward cues. Although overall…
Descriptors: Recall (Psychology), Serial Ordering, Short Term Memory, Prediction
Huang, Francis L. – Journal of Experimental Education, 2022
Experiments in psychology or education often use logistic regression models (LRMs) when analyzing binary outcomes. However, a challenge with LRMs is that results are generally difficult to understand. We present alternatives to LRMs in the analysis of experiments and discuss the linear probability model, the log-binomial model, and the modified…
Descriptors: Regression (Statistics), Monte Carlo Methods, Probability, Error Patterns
Robinson, Alexander; Keller, L. Robin; del Campo, Cristina – Decision Sciences Journal of Innovative Education, 2022
COVID-19 pandemic policies requiring disease testing provide a rich context to build insights on true positives versus false positives. Our main contribution to the pedagogy of data analytics and statistics is to propose a method for teaching updating of probabilities using Bayes' rule reasoning to build understanding that true positives and false…
Descriptors: Data, Error Patterns, Visual Aids, Graphs
Julie Case; Anna Eva Hallin – Journal of Speech, Language, and Hearing Research, 2024
Background: Speech and language are interconnected systems, and language disorder often co-occurs with childhood apraxia of speech (CAS) and non-CAS speech sound disorders (SSDs). Potential trade-off effects between speech and language in connected speech in children without overt language disorder have been less explored. Method: Story retell…
Descriptors: Speech Impairments, Auditory Perception, Speech Communication, Accuracy
Fischer-Baum, Simon; Warker, Jill A.; Holloway, Charli – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
Learning a spoken language requires learning a phonological inventory and phonotactics, or the sequences of phonemes possible in the language. Laboratory investigations of phonotactic learning include tongue-twister studies that show that speech errors respect artificial phonotactic constraints, for example that /k/ never appears as a syllable…
Descriptors: Error Patterns, Recall (Psychology), Phonology, Speech Communication
Barahmand, Ali – For the Learning of Mathematics, 2020
Learning the concept of fractions is among the most challenging topics in school mathematics. One of the main sources of difficulties in learning fractions is related to "natural number bias" (Van Hoof, Verschaffel & Van Dooren, 2015). Applying properties of the natural numbers incorrectly in situations involving rational numbers can…
Descriptors: Mathematics Instruction, Fractions, Number Concepts, Numbers
Villamor, Maureen M. – Research and Practice in Technology Enhanced Learning, 2020
High attrition and dropout rates are common in introductory programming courses. One of the reasons students drop out is loss of motivation due to the lack of feedback and proper assessment of their progress. Hence, a process-oriented approach is needed in assessing programming progress, which entails examining and measuring students' compilation…
Descriptors: Novices, Problem Solving, Computer Science Education, Introductory Courses
Lokkila, Erno; Christopoulos, Athanasios; Laakso, Mikko-Jussi – Journal of Information Systems Education, 2023
Educators who teach programming subjects are often wondering "which programming language should I teach first?" The debate behind this question has a long history and coming up with a definite answer to this question would be farfetched. Nonetheless, several efforts can be identified in the literature wherein pros and cons of mainstream…
Descriptors: Comparative Analysis, Programming Languages, Probability, Error Patterns
Liceralde, Van Rynald T. – ProQuest LLC, 2021
When we read, errors in oculomotor programming can cause the eyes to land and fixate on different words from what the mind intended. Previous work suggests that these "mislocated fixations" form 10-30% of first-pass fixations in reading eye movement data, which presents theoretical and analytic issues for eyetracking-while-reading…
Descriptors: Eye Movements, Reading Processes, Error Patterns, Psychomotor Skills
Abu-Ghazalah, Rashid M.; Dubins, David N.; Poon, Gregory M. K. – Applied Measurement in Education, 2023
Multiple choice results are inherently probabilistic outcomes, as correct responses reflect a combination of knowledge and guessing, while incorrect responses additionally reflect blunder, a confidently committed mistake. To objectively resolve knowledge from responses in an MC test structure, we evaluated probabilistic models that explicitly…
Descriptors: Guessing (Tests), Multiple Choice Tests, Probability, Models
Kueser, Justin B.; Leonard, Laurence B. – Journal of Speech, Language, and Hearing Research, 2020
Purpose: Studies have shown that children with typical development (TD) respond to frequency and predictability when repeating nonidiomatic multiword sequences (e.g., "go wash your hands"). We extended these findings by explicitly examining the interaction between frequency and predictability in a repetition task for children with…
Descriptors: Developmental Delays, Language Impairments, Language Acquisition, Incidence
Jesse, Alexandra; Helfer, Karen S. – Journal of Speech, Language, and Hearing Research, 2019
Purpose: In situations with a competing talker, lexical properties of words in both streams affect the recognition of words in the to-be-attended target stream. In this study, we tested whether these lexical properties also influence the type of errors made by listeners across the adult life span. Method: Errors from a corpus collected by Helfer…
Descriptors: Young Adults, Adults, Older Adults, Auditory Perception
Savi, Alexander O.; Deonovic, Benjamin E.; Bolsinova, Maria; van der Maas, Han L. J.; Maris, Gunter K. J. – Journal of Educational Data Mining, 2021
In learning, errors are ubiquitous and inevitable. As these errors may signal otherwise latent cognitive processes, tutors--and students alike--can greatly benefit from the information they provide. In this paper, we introduce and evaluate the Systematic Error Tracing (SET) model that identifies the possible causes of systematically observed…
Descriptors: Learning Processes, Cognitive Processes, Error Patterns, Models