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Zachary K. Collier; Joshua Sukumar; Roghayeh Barmaki – Practical Assessment, Research & Evaluation, 2024
This article introduces researchers in the science concerned with developing and studying research methods, measurement, and evaluation (RMME) to the educational data mining (EDM) community. It assumes that the audience is familiar with traditional priorities of statistical analyses, such as accurately estimating model parameters and inferences…
Descriptors: Educational Indicators, School Statistics, Data Analysis, Information Retrieval
Larry J. Grabau; Jan Van Damme – International Journal of Science and Mathematics Education, 2024
Adaptive science dispositions (epistemology, enjoyment, interest, and self-efficacy) have been shown to be related to schools' science climate and science literacy. School stratification may promote positive linkages among science dispositions, science literacy, and science climate. To examine the association between school stratification and such…
Descriptors: Foreign Countries, Scientific Literacy, Educational Environment, Science Education
Tiffany Bonds Mason – ProQuest LLC, 2021
Schools are frequently seen as the hubs of the community, providing resources and a gathering place for members of the community. The process of surveying the community in order to identify unique needs within the community, and then intentionally forging partnerships capable of ameliorating the specific needs, are strategies used by community…
Descriptors: Community Schools, Schools, Comparative Analysis, Public Schools
Bakhshinategh, Behdad; Zaiane, Osmar R.; ElAtia, Samira; Ipperciel, Donald – Education and Information Technologies, 2018
Educational Data Mining (EDM) is the field of using data mining techniques in educational environments. There exist various methods and applications in EDM which can follow both applied research objectives such as improving and enhancing learning quality, as well as pure research objectives, which tend to improve our understanding of the learning…
Descriptors: Educational Environment, Surveys, Comparative Analysis, Data Analysis
Mahnane, Lamia – Educational Technology & Society, 2017
In this paper, we show how data mining algorithms (e.g. Apriori Algorithm (AP) and Collaborative Filtering (CF)) is useful in New Social Network (NSN-AP-CF). "NSN-AP-CF" processes the clusters based on different learning styles. Next, it analyzes the habits and the interests of the users through mining the frequent episodes by the…
Descriptors: Social Networks, Pretests Posttests, Cognitive Style, College Students
Cross, Jennifer Riedl; Frazier, Andrea Dawn; Kim, Mihyeon; Cross, Tracy L. – Gifted Child Quarterly, 2018
In 14 focus group interviews, sixth- to eighth-grade high-ability students from high- (n = 36) and low-income (n = 45) families were asked to describe the barriers they perceived to their academic success. Three themes were identified through the qualitative analysis: "Constraining Environments, Integration versus Isolation," and…
Descriptors: Comparative Analysis, Secondary School Students, Student Attitudes, Barriers
Bessudnov, Alexey; Makarov, Alexey – International Studies in Sociology of Education, 2015
Gender differences in mathematical performance have received considerable scrutiny in the fields of sociology, economics and psychology. We analyse a large data-set of high school graduates who took a standardised mathematical test in Russia in 2011 (n = 738,456) and find no substantial difference in mean test scores across boys and girls.…
Descriptors: Foreign Countries, Gender Differences, Mathematics Achievement, Performance Based Assessment
Mays, Jessica E. – ProQuest LLC, 2015
This case study examined the impact of a site-specific intervention for at-risk students in a small rural elementary school in the foothills of North Carolina. The research site uses a small homogenous class setting as a basis for accelerating academic growth for students who are considered at-risk in literacy based on the state-required literacy…
Descriptors: Case Studies, Homogeneous Grouping, Small Classes, Small Group Instruction
Davis, Carenado V. – ProQuest LLC, 2013
Online learning environments have been embraced by many institutions, faculty, and students as a viable adult learning option to the traditional face-to-face learning environment. As this mode of delivery for instruction continues to grow in acceptance, it is important to understand the characteristics of adult learners, the historical progression…
Descriptors: Comparative Analysis, Academic Achievement, Online Courses, Synchronous Communication
Liu, Ming-Chou; Chi, Ming-Hsiao – Educational Technology & Society, 2012
In the era of the Internet, factors which influence effective learning in a Web-based learning environment are well worth exploring. In addition to knowledge acquisition and skills training, affect is also an important factor, since successful learning requires excellent affective performance. Thus this study focuses on learners' affective…
Descriptors: Foreign Countries, Questionnaires, Program Effectiveness, Personality Traits
Hue, Ming-tak; Kennedy, Kerry John – Asia Pacific Journal of Education, 2014
One of the challenges facing Hong Kong schools is the growing cultural diversity of the student population that is a result of the growing number of ethnic minority students in the schools. This study uses semi-structured interviews with 12 American, Canadian, Indian, Nepalese and Pakistani teachers working in three secondary schools in the public…
Descriptors: Culturally Relevant Education, Foreign Countries, Minority Group Teachers, Cultural Pluralism
Cunningham, A. J. C. – Research in Comparative and International Education, 2012
In 2003, UNICEF-Kenya and the Kenyan Ministry of Education introduced the "Child Friendly Schools" initiative to encourage educational policy makers and practitioners to look for alternative ways to measure the quality of primary schools beyond pupils' test scores. In 2009, Kenyan government officials distributed the Child Friendly…
Descriptors: Educational Policy, Stakeholders, Educational Quality, Elementary Schools
Maddox, Pamela Rena – ProQuest LLC, 2013
Every educator's quest is to help students learn in the environment that will allow them to obtain and retain the information presented to them. In the new age of technology, more students are able to choose the environment in which they learn. This study is a quantitative comparative study of the academic performance between online and…
Descriptors: Comparative Analysis, High School Students, English Instruction, Language Arts
Viola, Laura; Garrido, Gabriela; Rescorla, Leslie – Journal of Abnormal Child Psychology, 2011
Comparisons of Child Behavior Checklist (CBCL) scores from 31 societies (Rescorla et al. "Journal of Emotional and Behavioral Disorders" 15:13-142 2007) supported the instrument's multicultural robustness, but none of these societies was in South America. The present study tested the multicultural robustness of the 2001 CBCL using data…
Descriptors: Health Services, Check Lists, Mental Health Programs, Developmental Disabilities
Sanchez, Jaime; Salinas, Alvaro; Harris, Jordan – International Journal of Educational Development, 2011
This article presents a linear-analytical case study on the development of ICT within the educational systems of Chile and South Korea. Through a comprehensive meta-data analysis and bibliographic review, we collected information on both educational systems and their ICT adoption policies. Key differences necessary to understand how both countries…
Descriptors: Foreign Countries, Curriculum Development, Information Technology, Educational Change