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Perkmen, Serkan; Antonenko, Pavlo; Caracuel, Alfonso – Journal of Technology and Teacher Education, 2016
The main purpose of this study was to examine the validity of the Teacher Intentions to Integrate Technology in Education Scale using pre-service teacher samples from three countries on three continents--Turkey, Spain and the United States. Study participants were 550 pre-service teachers from three universities in Turkey, Spain and the USA (219,…
Descriptors: Foreign Countries, Preservice Teachers, Self Efficacy, Technology Integration
Biag, Manuelito; Castrechini, Sebastian – Journal of Education for Students Placed at Risk, 2016
Full-service community schools are designed to increase students, and families' access to comprehensive and coordinated supports, services, and programs such as medical care, food aid, and enrichment activities. Despite widespread support, the research base documenting the efficacy of community schools is still emerging. Analyzing longitudinal…
Descriptors: Community Schools, Integrated Services, Low Income Students, Hispanic American Students
Dirk, Judith; Schmiedek, Florian – Journal of Educational Psychology, 2016
Children experience good and bad days in their performance. Although this phenomenon is well-known to teachers, parents, and students it has not been investigated empirically. We examined whether children's working memory performance varies systematically from day to day and to which extent fluctuations at faster timescales (i.e., occasions,…
Descriptors: Elementary School Students, Short Term Memory, Grade 3, Grade 4
Carter, Robert E. – Journal of Marketing Education, 2016
Conventional wisdom holds that research-productive faculty are also the finest instructors. But, is this commonly held belief correct? In the current study, the notion that faculty scholarship exhibits a positive association with teaching evaluations is investigated. Reflecting the data structure of faculty nested within university, the current…
Descriptors: College Faculty, Scholarship, Student Evaluation of Teacher Performance, Correlation
Min, Sookweon – ProQuest LLC, 2016
This study explores the extent to which a high school's organizational contexts and individual students' characteristics are related to adolescents' school bond in multiracial schools. It first examines how the racial heterogeneity of a school is associated with the levels of students' school bond, and then explores the roles school climate plays…
Descriptors: High Schools, Educational Environment, Student Characteristics, Correlation
Olsen, Jennifer K.; Rummel, Nikol; Aleven, Vincent – Grantee Submission, 2016
Intelligent Tutoring Systems (ITSs) are beneficial for individual students learning in several domains, including mathematics where they have been used to support both secondary and elementary students. Collaborative learning may be beneficial to include in ITSs, particularly for conceptual knowledge. There is little work on collaborative ITSs,…
Descriptors: Intelligent Tutoring Systems, Cooperative Learning, Elementary School Students, Elementary School Mathematics
Tempelaar, Dirk T.; Wosnitza, Marold; Volet, Simone; Rienties, Bart; Giesbers, Bas; Gijselaers, Wim H. – Higher Education: The International Journal of Higher Education and Educational Planning, 2013
Students' learning goals demonstrate much stronger variety than traditional goal orientation models for classroom learning assume, especially when the educational context allows so. In this empirical study we will investigate the richness of students' goal orientation in a collaborative learning context. We do so with the help of a goal…
Descriptors: Problem Based Learning, Cooperative Learning, Goal Orientation, College Freshmen
Jak, Suzanne; Oort, Frans J.; Dolan, Conor V. – Structural Equation Modeling: A Multidisciplinary Journal, 2013
We present a test for cluster bias, which can be used to detect violations of measurement invariance across clusters in 2-level data. We show how measurement invariance assumptions across clusters imply measurement invariance across levels in a 2-level factor model. Cluster bias is investigated by testing whether the within-level factor loadings…
Descriptors: Statistical Bias, Measurement, Structural Equation Models, Hierarchical Linear Modeling
Bellara, Aarti P. – ProQuest LLC, 2013
Propensity score analysis has been used to minimize the selection bias in observational studies to identify causal relationships. A propensity score is an estimate of an individual's probability of being placed in a treatment group given a set of covariates. Propensity score analysis aims to use the estimate to create balanced groups, akin to a…
Descriptors: Scores, Probability, Monte Carlo Methods, Statistical Analysis
Jin, Yao – ProQuest LLC, 2013
Data-driven decisions have become an important aspect of supply chain management. Demand planners are tasked with analyzing volumes of data that are being collected at a torrential pace from myriad sources in order to translate them into actionable business intelligence. In particular, demand volatilities and planning are vital for effective and…
Descriptors: Supply and Demand, Information Management, Data, Decision Making
Zhou, Bo; Konstorum, Anna; Duong, Thao; Tieu, Kinh H.; Wells, William M.; Brown, Gregory G.; Stern, Hal S.; Shahbaba, Babak – Psychometrika, 2013
We propose a hierarchical Bayesian model for analyzing multi-site experimental fMRI studies. Our method takes the hierarchical structure of the data (subjects are nested within sites, and there are multiple observations per subject) into account and allows for modeling between-site variation. Using posterior predictive model checking and model…
Descriptors: Brain, Diagnostic Tests, Bayesian Statistics, Hierarchical Linear Modeling
Miller, Jason W.; Stromeyer, William R.; Schwieterman, Matthew A. – Multivariate Behavioral Research, 2013
The past decade has witnessed renewed interest in the use of the Johnson-Neyman (J-N) technique for calculating the regions of significance for the simple slope of a focal predictor on an outcome variable across the range of a second, continuous independent variable. Although tools have been developed to apply this technique to probe 2- and 3-way…
Descriptors: Social Sciences, Regression (Statistics), Predictor Variables, Hierarchical Linear Modeling
Jesson, Rebecca; McNaughton, Stuart; Wilson, Aaron; Zhu, Tong; Cockle, Victoria – Journal of Research on Technology in Education, 2018
This present study reports the impact of a research-practice partnership among nine collaborating schools and researchers in Auckland, New Zealand. The goals of the partnership were to refine digital instruction in ways that would result in improved learning processes and achievement. The partners employed a design-based research approach to…
Descriptors: Research and Development, Theory Practice Relationship, Partnerships in Education, Foreign Countries
Williams, Joanna L.; Hamm, Jill V. – Journal of Early Adolescence, 2018
This study examines concurrent and short-term longitudinal (i.e., academic year) relations between peer network racial/ethnic diversity and indicators of social and academic competence in a sample of African American, Latino, Native American, and White sixth-grade students attending rural schools (N = 481; 50% female). Results from two-level…
Descriptors: Middle School Students, Longitudinal Studies, Peer Relationship, Racial Composition
Mills, Jamie D.; Simon, Marsha E. – Middle Grades Research Journal, 2015
This study investigated the performance of U.S. eighth-grade female and minority students' achievement in learning statistics concepts using the Data and Chance content domain from the Trends in International Mathematics and Science Study 2007 (TIMSS 2007). Using variables that have been linked to mathematics and statistics achievement in the…
Descriptors: Grade 8, Minority Group Students, Females, Literacy