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Sao Pedro, Michael A.; Gobert, Janice D.; Baker, Ryan S. – Grantee Submission, 2014
We explore in this paper if automated scaffolding delivered via a pedagogical agent within a simulation can help students acquire data collection inquiry skills. Our initial analyses revealed that such scaffolding was effective for helping students who initially did not know two specific skills, designing controlled experiments and testing stated…
Descriptors: Automation, Scaffolding (Teaching Technique), Intelligent Tutoring Systems, Data Collection
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Sao Pedro, Michael; Jiang, Yang; Paquette, Luc; Baker, Ryan S.; Gobert, Janice – Grantee Submission, 2014
Students conducted inquiry using simulations within a rich learning environment for 4 science topics. By applying educational data mining to students' log data, assessment metrics were generated for two key inquiry skills, testing stated hypotheses and designing controlled experiments. Three models were then developed to analyze the transfer of…
Descriptors: Simulation, Transfer of Training, Bayesian Statistics, Inquiry
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Sao Pedro, Michael A.; Gobert, Janice D.; Betts, Cameron G. – Grantee Submission, 2014
There are well-acknowledged challenges to scaling computerized performance-based assessments. One such challenge is reliably and validly identifying ill-defined skills. We describe an approach that leverages a data mining framework to build and validate a detector that evaluates an ill-defined inquiry process skill, designing controlled…
Descriptors: Performance Based Assessment, Computer Assisted Testing, Inquiry, Science Process Skills
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Lee, Jon; Frey, Andy J.; Ratcliffe, Pam; Rutledge, Ally; Seeley, John R.; Small, Jason W.; Feil, Ed; Walker, Hill; Golly, Annemeike – Grantee Submission, 2014
This chapter is concerned with adapting Motivational Interviewing to an early intervention addressing challenging behavior in classrooms. Motivational Interviewing (MI) is a powerful vehicle for increasing motivation and changing behavior in adults, and has been shown to increase participant time in treatment, effort, and adherence to intervention…
Descriptors: Behavior Change, Teacher Behavior, Motivation Techniques, Questioning Techniques
Small, Jason W.; Lee, Jon; Frey, Andy J.; Seeley, John R.; Walker, Hill M. – Grantee Submission, 2014
As specialized instructional support personnel begin learning and using motivational interviewing (MI) techniques in school-based settings, there is growing need for context-specific measures to assess initial MI skill development. In this article, we describe the iterative development and preliminary evaluation of two measures of MI skill adapted…
Descriptors: Test Construction, Measures (Individuals), Motivation Techniques, School Personnel
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Connor, Carol McDonald; Phillips, Beth M.; Kaschak, Michael; Apel, Kenn; Kim, Young-Suk; Al Otaiba, Stephanie; Crowe, Elizabeth C.; Thomas-Tate, Shurita; Johnson, Lakeisha Cooper; Lonigan, Christopher J. – Grantee Submission, 2014
This paper describes the theoretical framework, as well as the development and testing of the intervention, Comprehension Tools for Teachers (CTT), which is composed of eight component interventions targeting malleable language and reading comprehension skills that emerging research indicates contribute to proficient reading for understanding for…
Descriptors: Reading Instruction, Teaching Methods, Intervention, Reading Comprehension
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Falk, Carl F.; Cai, Li – Grantee Submission, 2014
We present a semi-parametric approach to estimating item response functions (IRF) useful when the true IRF does not strictly follow commonly used functions. Our approach replaces the linear predictor of the generalized partial credit model with a monotonic polynomial. The model includes the regular generalized partial credit model at the lowest…
Descriptors: Maximum Likelihood Statistics, Item Response Theory, Computation, Simulation
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Yang, Ji Seung; Cai, Li – Grantee Submission, 2014
The main purpose of this study is to improve estimation efficiency in obtaining maximum marginal likelihood estimates of contextual effects in the framework of nonlinear multilevel latent variable model by adopting the Metropolis-Hastings Robbins-Monro algorithm (MH-RM; Cai, 2008, 2010a, 2010b). Results indicate that the MH-RM algorithm can…
Descriptors: Computation, Hierarchical Linear Modeling, Mathematics, Context Effect
Kim, Young-Suk; Al Otaiba, Stephanie; Folsom, Jessica S.; Greulich, Luana; Puranik, Cynthia – Grantee Submission, 2014
Purpose: This study examined dimensions of written composition by using multiple evaluative approaches such as an adapted 6 + 1 trait scoring, syntactic complexity measures, and productivity measures. It further examined unique relations of oral language and literacy skills to the identified dimensions of written composition. Method: A large…
Descriptors: Elementary School Students, Grade 1, Writing (Composition), Oral Language
Kim, Young-Suk; Phillips, Beth – Grantee Submission, 2014
In an effort to understand cognitive foundations of oral language comprehension (i.e., listening comprehension), we examined how inhibitory control, theory of mind, and comprehension monitoring are uniquely related to listening comprehension over and above vocabulary and age. A total of 156 children in kindergarten and first grade from…
Descriptors: Listening Comprehension, Oral Language, Inhibition, Theory of Mind
Kent, Shawn; Wanzek, Jeanne; Petscher, Yaacov; Al Otaiba, Stephanie; Kim, Young-Suk – Grantee Submission, 2014
In the present study, we examined the influence of kindergarten component skills on writing outcomes, both concurrently and longitudinally to first grade. Using data from 265 students, we investigated a model of writing development including attention regulation along with students' reading, spelling, handwriting fluency, and oral language…
Descriptors: Oral Language, Attention Control, Kindergarten, Elementary School Students
Domina, Thurston; McEachin, Andrew J.; Penner, Andrew M.; Penner, Emily K. – Grantee Submission, 2014
The U.S. is in the midst of an effort to intensify middle school mathematics curricula by enrolling more 8th graders in Algebra. California is at the forefront of this effort, and in 2008 the state moved to make Algebra the accountability benchmark test for 8th grade mathematics. This paper takes advantage of this unevenly-implemented policy to…
Descriptors: Algebra, Grade 8, Middle School Students, Secondary School Mathematics
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Penner, Andrew M.; Domina, Thurston; Penner, Emily K.; Conley, AnneMarie – Grantee Submission, 2014
Current educational policies in the United States attempt to boost student achievement and promote equality by intensifying the curriculum and exposing students to more advanced coursework. This paper investigates the relationship between one such effort -- California's push to enroll all 8th grade students in Algebra -- and the distribution of…
Descriptors: Algebra, Mathematics Instruction, Grade 8, Mathematics Achievement
Kropko, Jonathan; Goodrich, Ben; Gelman, Andrew; Hill, Jennifer – Grantee Submission, 2014
We consider the relative performance of two common approaches to multiple imputation (MI): joint multivariate normal (MVN) MI, in which the data are modeled as a sample from a joint MVN distribution; and conditional MI, in which each variable is modeled conditionally on all the others. In order to use the multivariate normal distribution,…
Descriptors: Statistical Analysis, Multivariate Analysis, Accuracy, Data
Bess, Fred H.; Hornsby, Benjamin W. Y. – Grantee Submission, 2014
Fatigue is a common phenomenon in our society, and it can have a major impact on an individual's performance and wellbeing. Parents and teachers have long believed that children with hearing loss (CHL) are at increased risk for fatigue. One could easily speculate that toward the end of a school day, CHL may be "physically and mentally…
Descriptors: Fatigue (Biology), Children, Hearing Impairments, Definitions
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