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Moeller, Julia; Viljaranta, Jaana; Kracke, Bärbel; Dietrich, Julia – Frontline Learning Research, 2020
This article proposes a study design developed to disentangle the objective characteristics of a learning situation from individuals' subjective perceptions of that situation. The term objective characteristics refers to the agreement across students, whereas subjective perceptions refers to inter-individual heterogeneity. We describe a novel…
Descriptors: Student Attitudes, College Students, Lecture Method, Student Interests
Morris, Darrell; Pennell, Ashley M.; Perney, Jan; Trathen, Woodrow – Reading Psychology, 2018
This study compared reading rate to reading fluency (as measured by a rating scale). After listening to first graders read short passages, we assigned an overall fluency rating (low, average, or high) to each reading. We then used predictive discriminant analyses to determine which of five measures--accuracy, rate (objective); accuracy, phrasing,…
Descriptors: Reading Fluency, Prediction, Grade 1, Elementary School Students
Cook, Bryan G.; Buysse, Virginia; Klingner, Janette; Landrum, Timothy J.; McWilliam, R. A.; Tankersley, Melody; Test, David W. – Remedial and Special Education, 2015
As an initial step toward improving the outcomes of learners with disabilities, special educators have formulated guidelines for identifying evidence-based practices. We describe the Council of Exceptional Children's new set of standards for identifying evidence-based practices in special education and how they (a) were systematically vetted by…
Descriptors: Classification, Special Education, Educational Practices, Educational Researchers
Nicole B. Kersting; Bruce L. Sherin; James W. Stigler – Educational and Psychological Measurement, 2014
In this study, we explored the potential for machine scoring of short written responses to the Classroom-Video-Analysis (CVA) assessment, which is designed to measure teachers' usable mathematics teaching knowledge. We created naïve Bayes classifiers for CVA scales assessing three different topic areas and compared computer-generated scores to…
Descriptors: Scoring, Automation, Video Technology, Teacher Evaluation
Bolaños, Daniel; Cole, Ron A.; Ward, Wayne H.; Tindal, Gerald A.; Hasbrouck, Jan; Schwanenflugel, Paula J. – Journal of Educational Psychology, 2013
This article describes a comprehensive approach to fully automated assessment of children's oral reading fluency (ORF), one of the most informative and frequently administered measures of children's reading ability. Speech recognition and machine learning techniques are described that model the 3 components of oral reading fluency: word accuracy,…
Descriptors: Oral Reading, Reading Fluency, Automation, Accuracy
Russell, Ailsa J.; Murphy, Clodagh M.; Wilson, Ellie; Gillan, Nicola; Brown, Cordelia; Robertson, Dene M.; Craig, Michael C.; Deeley, Quinton; Zinkstok, Janneke; Johnston, Kate; McAlonan, Grainne M.; Spain, Deborah; Murphy, Declan G. M. – Autism: The International Journal of Research and Practice, 2016
Growing awareness of autism spectrum disorders has increased the demand for diagnostic services in adulthood. High rates of mental health problems have been reported in young people and adults with autism spectrum disorder. However, sampling and methodological issues mean prevalence estimates and conclusions about specificity in psychiatric…
Descriptors: Mental Health, Clinical Diagnosis, Classification, Incidence
Heyrman, Lieve; Molenaers, Guy; Desloovere, Kaat; Verheyden, Geert; De Cat, Jos; Monbaliu, Elegast; Feys, Hilde – Research in Developmental Disabilities: A Multidisciplinary Journal, 2011
In this study the psychometric properties of the Trunk Control Measurement Scale (TCMS) in children with cerebral palsy (CP) were examined. Twenty-six children with spastic CP (mean age 11 years 3 months, range 8-15 years; Gross Motor Function Classification System level I n = 11, level II n = 5, level III n = 10) were included in this study. To…
Descriptors: Construct Validity, Cerebral Palsy, Test Validity, Interrater Reliability
Shriberg, Lawrence D.; Fourakis, Marios; Hall, Sheryl D.; Karlsson, Heather B.; Lohmeier, Heather L.; McSweeny, Jane L.; Potter, Nancy L.; Scheer-Cohen, Alison R.; Strand, Edythe A.; Tilkens, Christie M.; Wilson, David L. – Clinical Linguistics & Phonetics, 2010
A companion paper describes three extensions to a classification system for paediatric speech sound disorders termed the Speech Disorders Classification System (SDCS). The SDCS uses perceptual and acoustic data reduction methods to obtain information on a speaker's speech, prosody, and voice. The present paper provides reliability estimates for…
Descriptors: Phonemes, Phonetic Transcription, Reliability, Classification
Bothe, Anne K. – Journal of Speech, Language, and Hearing Research, 2008
Purpose: The purposes of this study were (a) to determine whether highly experienced clinicians and researchers agreed with each other in judging the presence or absence of stuttering in the speech of children who stutter and (b) to determine how those binary stuttered/nonstuttered judgments related to categorizations of the same speech based on…
Descriptors: Stuttering, Identification, Young Children, Speech
Cecchetti, Alfred A. – ProQuest LLC, 2009
Objective: This dissertation developed an automatic classification procedure, as an example of a novel tool for an informationist, which extracts information from published abstracts, classifies abstracts into their "fields of study," and then determines the researcher's "field of study" and "level of activity." …
Descriptors: Medical Research, Medical Schools, Medicine, Classification
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers