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Download full textPopa, Nicoleta Laura; Pauc, Ramona Loredana – Acta Didactica Napocensia, 2015
Dynamic assessment is currently discussed in educational literature as one of the most promising practices in stimulating learning among various groups of students, including gifted and potentially gifted students. The present study investigates effects of dynamic assessment on mathematics achievement among elementary school students, with…
Descriptors: Academically Gifted, Alternative Assessment, Student Evaluation, Mathematics Achievement
Direct linkDavis, Heather A.; Chang, Mei-Lin; Andrzejewski, Carey E.; Poirier, Ryan R. – Learning Environments Research, 2014
The purpose of this study was to examine changes in students' relational engagement across the transition to high school in three schools reformed to improve the quality of student-teacher relationships. In order to analyze this data we employed latent growth curve (LGC) modeling techniques (n = 637). We ran three LGC models on three…
Descriptors: High School Students, Learner Engagement, Hypothesis Testing, Teamwork
Biedron, Adriana – Studies in Second Language Learning and Teaching, 2011
The study addresses a problem which is inadequately investigated in second language acquisition research, that is, personality predictors of foreign language aptitude. Specifically, it focuses on the Five Factor model which includes Openness to Experience, Conscientiousness, Extraversion, Agreeableness and Neuroticism (Costa & McCrae, 1992) as…
Descriptors: Personality Traits, Predictor Variables, Second Language Learning, Language Aptitude
McCoach, D. Betsy – Journal for the Education of the Gifted, 2003
Structural equation modeling (SEM) refers to a family of statistical techniques that explores the relationships among a set of variables. Structural equation modeling provides an extremely versatile method to model very specific hypotheses involving systems of variables, both measured and unmeasured. Researchers can use SEM to study patterns of…
Descriptors: Gifted, Structural Equation Models, Factor Analysis, Enrichment
