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Kelley, Randa G.; Brown, Monica R.; Knapp, Debra – International Journal of Special Education, 2017
Co-teaching is the fastest growing inclusion model in the United States. Yet, the effectiveness of this model from the student perspective is largely under researched. Over a six-week period of systematic implementation of co-teaching models, this study quantitatively compared student and teacher perceptions of the effectiveness of the five most…
Descriptors: Team Teaching, Student Attitudes, Teacher Attitudes, Instructional Effectiveness
Warker, Jill A.; Dell, Gary S. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
Novel phonotactic constraints can be acquired by hearing or speaking syllables that follow a novel constraint. When learned from hearing syllables, these newly learned constraints generalize to syllables that were not experienced during training. However, generalization of phonotactic learning to novel syllables has never been persuasively…
Descriptors: Experimental Psychology, Syllables, Generalization, Speech Communication
Ramineni, Chaitanya; Trapani, Catherine S.; Williamson, David M. – ETS Research Report Series, 2015
Automated scoring models were trained and evaluated for the essay task in the "Praxis I"® writing test. Prompt-specific and generic "e-rater"® scoring models were built, and evaluation statistics, such as quadratic weighted kappa, Pearson correlation, and standardized differences in mean scores, were examined to evaluate the…
Descriptors: Writing Tests, Licensing Examinations (Professions), Teacher Competency Testing, Scoring
Collin, Ross; Reich, Gabriel A. – Journal of Curriculum Studies, 2015
This article presents discourse analyses of two lesson plans designed for secondary school history classes. Although the plans focus on the same topic, they rely on different models of content area literacy: disciplinary literacy, or reading and writing like experts in a given domain, and critical literacy, or reading and writing to address…
Descriptors: History Instruction, Lesson Plans, Secondary Education, Literacy
Jenkins, Gavin W.; Samuelson, Larissa K.; Smith, Jodi R.; Spencer, John P. – Cognitive Science, 2015
It is unclear how children learn labels for multiple overlapping categories such as "Labrador," "dog," and "animal." Xu and Tenenbaum (2007a) suggested that learners infer correct meanings with the help of Bayesian inference. They instantiated these claims in a Bayesian model, which they tested with preschoolers and…
Descriptors: Generalization, Young Children, Inferences, Models
Esposito, Alena G.; Bauer, Patricia J. – Journal of Cognition and Development, 2019
We describe research results and lessons learned from a laboratory/classroom collaboration with a school system offering both traditional English-only education and a dual-language track (Spanish/English). Through this collaboration, we addressed basic research questions informing malleable factors that impact cognitive development. In a…
Descriptors: Models, Bilingual Education, Program Evaluation, English (Second Language)
Marianti, Sukaesi; Fox, Jean-Paul; Avetisyan, Marianna; Veldkamp, Bernard P.; Tijmstra, Jesper – Journal of Educational and Behavioral Statistics, 2014
Many standardized tests are now administered via computer rather than paper-and-pencil format. In a computer-based testing environment, it is possible to record not only the test taker's response to each question (item) but also the amount of time spent by the test taker in considering and answering each item. Response times (RTs) provide…
Descriptors: Reaction Time, Response Style (Tests), Computer Assisted Testing, Bayesian Statistics
Ikuma, Takeshi; Kunduk, Melda; McWhorter, Andrew J. – Journal of Speech, Language, and Hearing Research, 2014
Purpose: The model-based quantitative analysis of high-speed videoendoscopy (HSV) data at a low frame rate of 2,000 frames per second was assessed for its clinical adequacy. Stepwise regression was employed to evaluate the HSV parameters using harmonic models and their relationships to the Voice Handicap Index (VHI). Also, the model-based HSV…
Descriptors: Statistical Analysis, Surgery, Video Technology, Regression (Statistics)
Samei, Borhan; Olney, Andrew M.; Kelly, Sean; Nystrand, Martin; D'Mello, Sidney; Blanchard, Nathan; Sun, Xiaoyi; Glaus, Marcy; Graesser, Art – Grantee Submission, 2014
We present a machine learning model that uses particular attributes of individual questions asked by teachers and students to predict two properties of classroom discourse that have previously been linked to improved student achievement. These properties, uptake and authenticity, have previously been studied by using trained observers to live-code…
Descriptors: Artificial Intelligence, Models, Discourse Analysis, Academic Discourse
Tindal, Gerald; Nese, Joseph F. T.; Farley, Dan; Saven, Jessica L.; Elliott, Stephen N. – Exceptional Children, 2016
Students with disabilities have been included in state accountability systems for more than a decade; however, only in the past few years have alternate assessments of alternate achievement standards (AA-AAS) become stable enough to allow examination of these students' achievement growth. Using data from Oregon's AA-AAS in Reading during the…
Descriptors: Reading Achievement, Alternative Assessment, Achievement Gains, Outcome Measures
McNeish, Daniel M. – Journal of Educational and Behavioral Statistics, 2016
Mixed-effects models (MEMs) and latent growth models (LGMs) are often considered interchangeable save the discipline-specific nomenclature. Software implementations of these models, however, are not interchangeable, particularly with small sample sizes. Restricted maximum likelihood estimation that mitigates small sample bias in MEMs has not been…
Descriptors: Models, Statistical Analysis, Hierarchical Linear Modeling, Sample Size
Gabdulchakov, Valerian F. – International Journal of Environmental and Science Education, 2016
The subject of the study in the article is conceptual basis of construction of the target model of interaction between University and region. Hence the topic of the article "the Target model of strategic interaction between the University and the region in the field of education." The objective was to design a target model of this…
Descriptors: Interaction, Regional Schools, Models, Instructional Design
Ravand, Hamdollah; Baghaei, Purya – Practical Assessment, Research & Evaluation, 2016
Structural equation modeling (SEM) has become widespread in educational and psychological research. Its flexibility in addressing complex theoretical models and the proper treatment of measurement error has made it the model of choice for many researchers in the social sciences. Nevertheless, the model imposes some daunting assumptions and…
Descriptors: Least Squares Statistics, Structural Equation Models, Nonparametric Statistics, Sample Size
Wu, Y. – Journal of Computer Assisted Learning, 2016
Technologies bring a new era of content presentation for online teaching and learning. With more instructors adopting new tools to design online teaching materials, students are often put into learning contexts with certain new design components. Assessing learner experience and outcome in these contexts is challenging because of the complexity…
Descriptors: Educational Technology, Technology Uses in Education, Online Courses, Models
Liu, Wei; Lin, Xiaobing – Journal of Studies in International Education, 2016
Discussed in this article are the different governance models in international student services in Canadian and Chinese universities. Informing this study were 39 international student service providers from 38 top Chinese universities while interacting with their Canadian counterparts in a professional development program in Canada. The derived…
Descriptors: Student Needs, Need Gratification, Governance, Foreign Students

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