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Siu-Cheung Kong; Wei Shen – Interactive Learning Environments, 2024
Logistic regression models have traditionally been used to identify the factors contributing to students' conceptual understanding. With the advancement of the machine learning-based research approach, there are reports that some machine learning algorithms outperform logistic regression models in terms of prediction. In this study, we collected…
Descriptors: Student Characteristics, Predictor Variables, Comprehension, Computation
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Basilakos, Alexandra; Yourganov, Grigori; den Ouden, Dirk-Bart; Fogerty, Daniel; Rorden, Chris; Feenaughty, Lynda; Fridriksson, Julius – Journal of Speech, Language, and Hearing Research, 2017
Purpose: Apraxia of speech (AOS) is a consequence of stroke that frequently co-occurs with aphasia. Its study is limited by difficulties with its perceptual evaluation and dissociation from co-occurring impairments. This study examined the classification accuracy of several acoustic measures for the differential diagnosis of AOS in a sample of…
Descriptors: Multivariate Analysis, Speech Impairments, Clinical Diagnosis, Aphasia
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Letwinsky, Karim Medico; Berry, Michael David – Journal of International Education and Leadership, 2017
This quantitative, quasi-experimental study investigated the effect of the Mathletics.com technology on basic multiplication fact fluency in fourth grade students in the Middle East. The treatment group received three weeks of scheduled time using Mathletics.com, while the control group practiced multiplication facts using only traditional…
Descriptors: Quasiexperimental Design, Grade 4, Multiplication, Experimental Groups
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Sturner, Raymond; Howard, Barbara; Bergmann, Paul; Morrel, Tanya; Landa, Rebecca; Walton, Kejuana; Marks, Danielle – Journal of Autism and Developmental Disorders, 2017
Accuracy of autism screening using M-CHAT plus the follow-up interview (M-CHAT/F) for children screened positive at 18-months was compared to screening at 24-months. Formal ASD testing was criterion for a community sample of M-CHAT positive children (n = 98), positive predictive value (PPV) was 0.40 for the M-CHAT and 0.58 for the M-CHAT/F.…
Descriptors: Autism, Screening Tests, Accuracy, Predictor Variables
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Verhoeven, Ludo; Keuning, Jos – Scientific Studies of Reading, 2018
The present study aimed to explore the nature of developmental dyslexia in a language considered to have a transparent orthography, namely, Dutch. We assessed the accuracy and efficiency of decoding words and pseudowords with four lengths as well as three types of phonological ability in 2,760 typical children and 397 peers with dyslexia across…
Descriptors: Foreign Countries, Dyslexia, Orthographic Symbols, Indo European Languages
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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
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Murray, Elizabeth; McCabe, Patricia; Heard, Robert; Ballard, Kirrie J. – Journal of Speech, Language, and Hearing Research, 2015
Purpose: The gold standard for diagnosing childhood apraxia of speech (CAS) is expert judgment of perceptual features. The aim of this study was to identify a set of objective measures that differentiate CAS from other speech disorders. Method: Seventy-two children (4-12 years of age) diagnosed with suspected CAS by community speech-language…
Descriptors: Speech Impairments, Children, Preadolescents, Clinical Diagnosis
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Southard, Dan L. – Research Quarterly for Exercise and Sport, 2014
Purpose: The purposes of this study were to: (a) examine the effect of experience and goal constraints (speed, accuracy) on kicking patterns; (b) determine if effective striking mass was independent of ankle velocity at impact; and (c) determine the accuracy of kicks relative to independent factors. Method: Twenty participants were recruited to…
Descriptors: Team Sports, Kinetics, Accuracy, Goal Orientation
Crossley, Scott; McNamara, Danielle S.; Baker, Ryan; Wang, Yuan; Paquette, Luc; Barnes, Tiffany; Bergner, Yoav – International Educational Data Mining Society, 2015
Completion rates for massive open online classes (MOOCs) are notoriously low, but learner intent is an important factor. By studying students who drop out despite their intent to complete the MOOC, it may be possible to develop interventions to improve retention and learning outcomes. Previous research into predicting MOOC completion has focused…
Descriptors: Online Courses, Large Group Instruction, Information Retrieval, Data Analysis
Ngan, Chun-Kit – ProQuest LLC, 2013
Making decisions over multivariate time series is an important topic which has gained significant interest in the past decade. A time series is a sequence of data points which are measured and ordered over uniform time intervals. A multivariate time series is a set of multiple, related time series in a particular domain in which domain experts…
Descriptors: Multivariate Analysis, Time, Intervals, Decision Making
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Pfenninger, Simone E. – Studies in Second Language Learning and Teaching, 2014
This study was designed to investigate the effects of age of onset and type of instruction on ultimate EFL attainment at the end of the period of normal schooling in Switzerland, measured in terms of written fluency, complexity, morphosyntactic accuracy, vocabulary size, and listening skills. Data were gathered from four groups of 18-year-old…
Descriptors: Age Differences, Predictor Variables, Secondary School Students, English (Second Language)
Edman, Ellie Whitner – ProQuest LLC, 2012
The advent of No Child Left Behind led to increased teacher accountability for student performance and placed strict sanctions in place for failure to meet a certain level of performance each year. With instructional time at a premium, it is imperative that educators have brief academic assessments that accurately predict performance on…
Descriptors: Writing (Composition), Accuracy, Writing Tests, Writing Evaluation
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Lipnevich, Anastasiya A.; Smith, Jeffrey K. – ETS Research Report Series, 2008
This experiment involved college students (N = 464) working on an authentic learning task (writing an essay) under 3 conditions: no feedback, detailed feedback (perceived by participants to be provided by the course instructor), and detailed feedback (perceived by participants to be computer generated). Additionally, conditions were crossed with 2…
Descriptors: Feedback (Response), Information Sources, College Students, Essays
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries