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Depren, Serpil Kilic – Journal of Baltic Science Education, 2018
Turkey is ranked at the 54th out of 72 countries in terms of science achievement in the Programme for International Student Assessment (PISA) survey conducted in 2015, which is a very big disappointment for that country. The aim of this research was to determine factors affecting Turkish students' science achievements in order to identify the…
Descriptors: Foreign Countries, Prediction, Science Achievement, Multivariate Analysis
Aktamis, Hilal – Research in Science & Technological Education, 2017
Background: Children generally adopt the behaviours and attitudes they see in their home environment. Because of this, education provided in the school can be effective, as long as it is supported at home and by extension to the entire environment where the child interacts. Isolating the family from school influences the continuance of the…
Descriptors: Parent Attitudes, Influences, Scientific Attitudes, Elementary School Students
Sorensen-Unruh, Clarissa – Journal of Chemical Education, 2017
This Communication summarizes one of the invited papers to the Select 2016 BCCE Presentations ACS CHED Committee on Computers in Chemical Education online ConfChem held from October 30 to November 22, 2016. The ConfChem paper (included within Supporting Information) focuses on the results of one instructor's incorporation of social media into her…
Descriptors: Chemistry, Computer Uses in Education, Conferences (Gatherings), Teaching Methods
Assouline, Susan G.; Ihrig, Lori M.; Mahatmya, Duhita – Gifted Child Quarterly, 2017
High-potential students from underresourced rural schools face barriers that reduce options for academic advancement, which widens the excellence gap between them and their more affluent, but similar ability peers. The goal of this study was to investigate the effectiveness of an expanded above-level testing model to identify high-potential rural…
Descriptors: Achievement Gap, Talent Identification, Models, Admission Criteria
Meinck, Sabine; Cortes, Diego; Tieck, Sabine – Large-scale Assessments in Education, 2017
Survey participation rates can have a direct impact on the validity of the data collected since nonresponse always holds the risk of bias. Therefore, the International Association for the Evaluation of Educational Achievement (IEA) has set very high standards for minimum survey participation rates. Nonresponse in IEA studies varies between studies…
Descriptors: Response Rates (Questionnaires), Bias, Educational Assessment, Questionnaires
Urick, Angela; Wilson, Alison S. P.; Ford, Timothy G.; Frick, William C.; Wronowski, Meredith L. – Educational Administration Quarterly, 2018
Purpose: To advance a framework of indicators that promotes implementation of math standards under the Every Student Succeeds Act (ESSA), we tested a conceptual model of the resources and processes within schools that influence the opportunity to learn mathematics (OTL) in the classroom using a recent administration of the 2011 Trends in…
Descriptors: Mathematics Education, Progress Monitoring, Educational Indicators, Federal Legislation
Arikan, Serkan; van de Vijver, Fons J. R.; Yagmur, Kutlay – EURASIA Journal of Mathematics, Science & Technology Education, 2016
Large-scale studies, such as the Trends in International Mathematics and Science Study (TIMSS), provide data to understand cross-national differences and similarities. In this study, we aimed to identify factors predicting mathematics achievement of Turkish students by comparing to Australian students. First, construct equivalence and item bias…
Descriptors: Foreign Countries, Comparative Education, Mathematics Achievement, Performance Factors
Marc Marschark; Debra M. Shaver; Katherine Nagle; Lynn A. Newman – Grantee Submission, 2015
Research suggests that the academic achievement of deaf and hard-of-hearing (DHH) students is the result of a complex interplay of many factors. These factors include characteristics of the students (e.g., hearing thresholds, language fluencies, mode of communication, and communication functioning), characteristics of their family environments…
Descriptors: Predictor Variables, Academic Achievement, Deafness, Hearing Impairments
Marc Marschark; Debra M. Shaver; Katherine M. Nagle; Lynn A. Newman – Exceptional Children, 2015
Research suggests that the academic achievement of deaf and hard-of-hearing (DHH) students is the result of a complex interplay of many factors. These factors include characteristics of the students (e.g., hearing thresholds, language fluencies, mode of communication, and communication functioning), characteristics of their family environments…
Descriptors: Predictor Variables, Academic Achievement, Deafness, Hearing Impairments
Zheng, Meixun; Spires, Hiller A. – International Journal of Virtual and Personal Learning Environments, 2014
This mixed methods study examined 73 5th graders' flow experience in a game-based science learning environment using two gameplay approaches (solo and collaborative gameplay). Both survey and focus group interview findings revealed that students had high flow experience; however, there were no flow experience differences that were contingent upon…
Descriptors: Elementary School Students, Grade 5, Learner Engagement, Attention
Chan, Carol K. K.; Lam, Ivan C. K.; Leung, Raymond W. H. – International Journal of Educational Psychology, 2012
This study investigated the role of collective knowledge building in promoting scientific inquiry and achievements among Hong Kong high-school chemistry students. The participants included 34 Grade 10 (15-16 years old) students who engaged in collective inquiry and progressive discourse, using Knowledge ForumĀ®, a computer-supported collaborative…
Descriptors: Science Achievement, Scientific Research, Computer Assisted Instruction, Grade 10
Papanastasiou, Elena C. – Research in Science & Technological Education, 2003
The purpose of this study was to examine how variables related to computer availability, computer comfort and educational software are associated with higher or lower levels of science literacy in the USA, Finland and Mexico, after controlling for the socio-economic status of the students. The analyses for this study were based on a series of…
Descriptors: Foreign Countries, Computers, Educational Technology, Computer Uses in Education