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Mosqueda, Eduardo; Maldonado, Saul I. – Equity & Excellence in Education, 2013
This study analyzes nationally-representative quantitative data from the first (2002) and second (2004) waves of the Educational Longitudinal Study to examine the relationship between Latina/o secondary school students' degree of English-language proficiency (ELP), mathematics course-taking measures, and 12th grade mathematics achievement.…
Descriptors: Mathematics Achievement, Language Proficiency, Longitudinal Studies, Hierarchical Linear Modeling
Kohn, Hans-Friedrich; Steinley, Douglas; Brusco, Michael J. – Psychological Methods, 2010
The "p"-median clustering model represents a combinatorial approach to partition data sets into disjoint, nonhierarchical groups. Object classes are constructed around "exemplars", that is, manifest objects in the data set, with the remaining instances assigned to their closest cluster centers. Effective, state-of-the-art implementations of…
Descriptors: Computer Software, Psychological Studies, Data Analysis, Research Methodology
Turk, Vicky; Burchell, Sarah; Burrha, Sukhjinder; Corney, Roslyn; Elliott, Sandra; Kerry, Sally; Molloy, Catherine; Painter, Kerry – Journal of Applied Research in Intellectual Disabilities, 2010
Background: Personal health records were implemented with adults with learning disabilities (AWLD) to try to improve their health-care. Materials and Method: Forty GP practices were randomized to the Personal Health Profile (PHP) implementation or control group. Two hundred and one AWLD were interviewed at baseline and 163 followed up after 12…
Descriptors: Control Groups, Intervention, Learning Disabilities, Evaluation
Soh, Kay Cheng – New Horizons in Education, 2012
Background: In PISA 2009, seven East Asian countries rank high among the 65 participating countries, but some of the differences among the seven countries are small to be of substantive meaning. Aims: This paper is an attempt to fine tune the comparisons for better understanding of the situation in East Asian. Sample: Data of the seven East Asian…
Descriptors: Foreign Countries, Effect Size, Mathematics Achievement, Reading Achievement
Gielen, Sarah; Dochy, Filip; Onghena, Patrick – Assessment & Evaluation in Higher Education, 2011
Since Topping published his literature review on peer assessment in 1998, the number of studies on this subject has doubled, if not tripled. However, along with this expansion, the diversity of peer assessment applications increased equally fast. Based on recent literature, this contribution focuses specifically on the diversity that has come to…
Descriptors: Peer Evaluation, Evaluation Methods, Educational Practices, Predictor Variables
Zarei, Abbas Ali; Adami, Saba – Journal on English Language Teaching, 2013
To investigate the effects of semantic mapping, thematic clustering, and notebook keeping on L2 vocabulary recognition and production, four groups of intermediate level learners in an EFL institute in Zanjan, Iran participated in the study. Three experimental groups consisted of semantic mapping, semantic feature analysis, and vocabulary notebook…
Descriptors: Cognitive Mapping, Semantics, Second Language Learning, Vocabulary Development
Byrd, W. Carson; Dika, Sandra L.; Ramlal, Letticia T. – Equity & Excellence in Education, 2013
As the United States becomes more racially and ethnically diverse and draws more students from across the globe, more representative data are needed to understand at-risk and underrepresented populations in higher education, particularly in the science, technology, engineering, and mathematics (STEM) fields. The authors argue that the current…
Descriptors: STEM Education, Ethnicity, Racial Composition, Error of Measurement
Smith, Russell K. – Research in Higher Education Journal, 2014
A segmentation study is used to partition college students into groups that are more or less likely to adopt tablet technology as a learning tool. Because the college population chosen for study presently relies upon laptop computers as their primary learning device, tablet technology represents a "next step" in technology. Student…
Descriptors: College Students, Cluster Grouping, Student Attitudes, Laptop Computers
Hsaieh, Hsiao-Chin; Yang, Chia-Ling – Chinese Education and Society, 2014
While access to higher education has reached gender parity in Taiwan, the phenomenon of gender segregation and stratification by fields of study and by division of labor persist. In this article, we trace the historical evolution of Taiwan's education system and data using large-scale educational databases to analyze the association of…
Descriptors: College Entrance Examinations, Higher Education, Outcomes of Education, Institutional Characteristics
Blikstein, Paulo; Worsley, Marcelo; Piech, Chris; Sahami, Mehran; Cooper, Steven; Koller, Daphne – Journal of the Learning Sciences, 2014
New high-frequency, automated data collection and analysis algorithms could offer new insights into complex learning processes, especially for tasks in which students have opportunities to generate unique open-ended artifacts such as computer programs. These approaches should be particularly useful because the need for scalable project-based and…
Descriptors: Programming, Computer Science Education, Learning Processes, Introductory Courses
Giles, Tynisa – ProQuest LLC, 2012
Compared to urban/suburban secondary school students, traditionally underrepresented students in rural areas often do not enroll or attend 4-year colleges and universities because of limited high school resources. To address this problem, higher education experts have suggested that high school faculty may serve as catalysts to encourage increased…
Descriptors: Teacher Attitudes, Secondary School Teachers, High School Students, Access to Education
Evan, Aimee J.; Burden, Frances F.; Gheen, Margaret H.; Smerdon, Becky A. – Career and Technical Education Research, 2013
Career academies have been effective in reducing the high school dropout rates and increasing academic course taking and course credit accumulation among students (Kemple & Willner, 2008; Kemple & Snipes, 2000). However, not all students have access to career academy programs as they are not universally implemented across the state of…
Descriptors: High School Students, Career Academies, Access to Education, Geographic Location
Van der Schaaf, Marieke; Baartman, Liesbeth; Prins, Frans; Oosterbaan, Anne; Schaap, Harmen – Scandinavian Journal of Educational Research, 2013
How can feedback dialogues stimulate students' reflective thinking? This study aims to investigate: (1) the effects of feedback dialogues between teachers and students on students' perceptions of teacher feedback and (2) the relation between features of feedback dialogues and students' thinking activities as part of reflective thinking. A…
Descriptors: Thinking Skills, Reflection, Feedback (Response), Secondary School Students
Peterson, Carla A.; Wall, Shavaun; Jeon, Hyun-Joo; Swanson, Mark E.; Carta, Judith J.; Luze, Gayle J.; Eshbaugh, Elaine – Journal of Special Education, 2013
This study examined the prevalence of indicators of disability or potential disability among preschool-aged children enrolled in the Early Head Start Research and Evaluation Longitudinal Follow-Up. Three categories of indicators were established: received Part B services, developmental risk, and biological risk. The majority of participating…
Descriptors: Preschool Children, Family Characteristics, Poverty, Disadvantaged
Center on Urban Poverty and Community Development (NJ1), 2010
There are no direct measures of adult literacy in Cuyahoga County. Instead, this report uses estimates based on a statistical model derived from the National Survey of Adult Literacy. Adult literacy levels range from Level 1 (the most basic) to Level 5 (the most complex). People with Level 1 literacy are at a severe disadvantage in the sense that…
Descriptors: Adult Literacy, Statistical Significance, Statistical Data, Educational Attainment

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