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Showing 1 to 15 of 16 results Save | Export
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Kubit, Benjamin M.; Janata, Petr – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Involuntary musical imagery (INMI; more commonly known as "earworms" or having a song "stuck in your head") is a common musical phenomenon and one of the most salient examples of spontaneous cognition. Despite the ubiquitous nature of INMI in the general population, functional roles of INMI remain to be fully established and…
Descriptors: Music, Memory, Probability, Novelty (Stimulus Dimension)
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Compton, Donald L.; Gilbert, Jennifer K.; Kearns, Devin M.; Olson, Richard K. – Annals of Dyslexia, 2020
The orthographic choice (OC) task--requiring individuals to choose the correct spelling between a word and a pseudohomophone foil (e.g., "goat" vs. "gote")--has been used as an outcome measure of orthographic learning and as a predictor of individual differences in word reading development. Some consider the OC task a measure…
Descriptors: Orthographic Symbols, Spelling, Reading Skills, Word Recognition
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Wagner, Richard K.; Moxley, Jerad; Schatschneider, Chris; Zirps, Fotena A. – Scientific Studies of Reading, 2023
Purpose: Bayesian-based models for diagnosis are common in medicine but have not been incorporated into identification models for dyslexia. The purpose of the present study was to evaluate Bayesian identification models that included a broader set of predictors and that capitalized on recent developments in modeling the prevalence of dyslexia.…
Descriptors: Bayesian Statistics, Identification, Dyslexia, Models
Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – Annenberg Institute for School Reform at Brown University, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Higher Education, Predictive Measurement, Models
Gipson, John A. – ProQuest LLC, 2018
Despite the overwhelming evidence that higher education data are nested at various levels, single-level techniques such as regression and analysis of variance are commonly used to investigate student outcomes. This is problematic as a mismatch in methodology and research questions can lead to biased parameter estimates. The purpose of this study…
Descriptors: Predictor Variables, Graduation, Grade Point Average, Majors (Students)
Pakdaman Naeini, Mahdi – ProQuest LLC, 2016
Learning probabilistic classification and prediction models that generate accurate probabilities is essential in many prediction and decision-making tasks in machine learning and data mining. One way to achieve this goal is to post-process the output of classification models to obtain more accurate probabilities. These post-processing methods are…
Descriptors: Probability, Prediction, Predictor Variables, Models
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Walsh, Bridget; Christ, Sharon; Weber, Christine – Journal of Speech, Language, and Hearing Research, 2021
Purpose: The purpose of this study is to investigate how epidemiological and clinical factors collectively predict whether a preschooler who is stuttering will persist or recover and to provide guidance on how clinicians can use these factors to evaluate a child's risk for stuttering persistence. Method: We collected epidemiological and clinical…
Descriptors: Stuttering, At Risk Persons, Preschool Children, Persistence
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de Zubicaray, Greig I.; Arciuli, Joanne; Kearney, Elaine; Guenther, Frank; McMahon, Katie L. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Grounded or embodied cognition research has employed body-object interaction (BOI; e.g., Pexman et al., 2019) ratings to investigate sensorimotor effects during language processing. We investigated relationships between BOI ratings and nonarbitrary statistical mappings between words' phonological forms and their syntactic category in English;…
Descriptors: Language Processing, Psychomotor Skills, English, Predictor Variables
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Chu, Wei; Pavlik, Philip I., Jr. – International Educational Data Mining Society, 2023
In adaptive learning systems, various models are employed to obtain the optimal learning schedule and review for a specific learner. Models of learning are used to estimate the learner's current recall probability by incorporating features or predictors proposed by psychological theory or empirically relevant to learners' performance. Logistic…
Descriptors: Reaction Time, Accuracy, Models, Predictor Variables
Shneyderman, Aleksandr – Research Services, Miami-Dade County Public Schools, 2019
Curriculum Associates' i-Ready is an adaptive diagnostic and individualized instructional tool that has been used in M-DCPS in the last few years. In addition, Curriculum Associates provides the District with results of their predictive model, which uses the students' outcomes on the Fall and Winter i-Ready diagnostic testing as well as the…
Descriptors: Standardized Tests, Mathematics Achievement, Language Arts, Reading Achievement
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Stanford, Courtney; Cole, Renee; Froyd, Jeff; Henderson, Charles; Friedrichsen, Debra; Khatri, Raina – Journal of Science Education and Technology, 2017
Increasing adoption and adaptation of promising instructional strategies and materials has been identified as a critical component needed to improve science, technology, engineering, and mathematics (STEM) education. This paper examines typical propagation practices and resulting outcomes of proposals written by developers of educational…
Descriptors: STEM Education, Educational Development, Educational Strategies, Program Proposals
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Rinne, Luke F.; Ye, Ai; Jordan, Nancy C. – Developmental Psychology, 2017
The present study investigated the development of fraction comparison strategies through a longitudinal analysis of children's responses to a fraction comparison task in 4th through 6th grades (N = 394). Participants were asked to choose the larger value for 24 fraction pairs blocked by fraction type. Latent class analysis of performance over item…
Descriptors: Elementary School Mathematics, Elementary School Students, Intermediate Grades, Fractions
Shneyderman, Aleksandr – Research Services, Miami-Dade County Public Schools, 2017
Curriculum Associates' i-Ready is an adaptive diagnostic and individualized instructional tool that has been used in M-DCPS in the last few years. In addition, in 2016-2017, Curriculum Associates provided the District with results of their predictive model, which used the outcomes of the Fall and Winter i-Ready diagnostic testing to estimate the…
Descriptors: Standardized Tests, Mathematics Achievement, Language Arts, Reading Achievement
Ostrow, Korinn; Donnelly, Chistopher; Heffernan, Neil – International Educational Data Mining Society, 2015
As adaptive tutoring systems grow increasingly popular for the completion of classwork and homework, it is crucial to assess the manner in which students are scored within these platforms. The majority of systems, including ASSISTments, return the binary correctness of a student's first attempt at solving each problem. Yet for many teachers,…
Descriptors: Intelligent Tutoring Systems, Scoring, Testing, Credits
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Brainerd, C. J.; Reyna, V. F.; Gomes, C. F. A.; Kenney, A. E.; Gross, C. J.; Taub, E. S.; Spreng, R. N. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2014
Advances in dual-retrieval models of recall make it possible to use clinical data to test theoretical hypotheses about mild cognitive impairment (MCI) and Alzheimer's dementia (AD), the most common forms of neurocognitive impairment. Hypotheses about the nature of the episodic memory declines in these diseases, about decline versus sparing of…
Descriptors: Neurological Impairments, Recall (Psychology), Memory, Alzheimers Disease
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