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Sanders, Deborah – ProQuest LLC, 2014
Professional development is a recognized approach to improving the quality of instruction in schools. The goal of professional development is to increase teachers' knowledge and improve their practices, which lead to enhanced student learning. The problem with providing staff development is the high cost incurred by presenters' fees, and…
Descriptors: Teacher Attitudes, Professional Development, Instructional Effectiveness, Educational Practices
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Quinto-Pozos, David; Singleton, Jenny L.; Hauser, Peter C. – Journal of Deaf Studies and Deaf Education, 2017
This article describes the case of a deaf native signer of American Sign Language (ASL) with a specific language impairment (SLI). School records documented normal cognitive development but atypical language development. Data include school records; interviews with the child, his mother, and school professionals; ASL and English evaluations; and a…
Descriptors: Case Studies, Language Impairments, Deafness, American Sign Language
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Kim, Mijung; Yoon, Heesook; Ji, Young Rae; Song, Jinwoong – International Journal of Science and Mathematics Education, 2012
With recognition of the importance of scientific literacy for the nation and yet the increasing students' disinterest in science through school science curriculum, the Korea Science Foundation launched an innovative program called "Everyday Science Class (ESC)" in partnership with universities and local government offices in 2003. In…
Descriptors: Video Technology, Student Attitudes, Foreign Countries, Local Government
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Hanson, James H.; Brophy, Patrick D. – Advances in Engineering Education, 2012
Not all knowledge and skills that educators want to pass to students exists yet in textbooks. Some still resides only in the experiences of practicing engineers (e.g., how engineers create new products, how designers identify errors in calculations). The critical incident technique, CIT, is an established method for cognitive task analysis. It is…
Descriptors: Critical Incidents Method, Engineering, Engineering Education, Task Analysis
Pack, Albert R.; Michael, William B. – 1995
This study investigated the extent to which data collected on play behavior differ when two different data collection methods, observation alone and observation plus interview, were used. A secondary objective was to compare data collected using both methods in an indoor and outdoor play environment. The social and cognitive play behavior for a…
Descriptors: Behavior Patterns, Cognitive Development, Comparative Analysis, Data Collection
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Andreassen, Carol; Fletcher, Philip – National Center for Education Statistics, 2007
This methodology report documents the design, development, and psychometric characteristics of the assessment instruments used in the second wave of the ECLS-B. The assessment instruments discussed measure children's cognitive development (BSF-R), socioemotional functioning (Two Bags Task), security of attachment (TAS-45), and physical development…
Descriptors: Measures (Individuals), Child Development, Longitudinal Studies, Cognitive Development
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Guberman, Steven R. – Journal for Research in Mathematics Education, 2004
The study reported in this article examined relations between ethnicity, out-of-school activities, and arithmetical achievements in Latin American and Korean American children in first, second, and third grades. Three types of data were collected: parents' educational attitudes and beliefs, parents' reports of children's everyday activities with…
Descriptors: Comparative Analysis, Latin Americans, Educational Attitudes, Arithmetic
Medical and Health Research Association of New York City, Inc., NY. – 1975
This report concerns the field procedures and data analysis being used in the New York City Infant Day Care Study, a large-scale longitudinal study examining publicly-funded, community-controlled group and family day care programs in New York and comparing the effects of these programs and of home rearing on children and their families. Children's…
Descriptors: Child Development, Cognitive Development, Data Analysis, Data Collection