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Changpetch, Pannapa; Reid, Moya – Journal of Education for Business, 2021
Based on a statistical analysis, undergraduate business students are shown to prefer classification tree over six other standard data mining techniques. Data were collected over a 4-year period from students taking a data mining course offered at a business university in the US. The principal reason given by students for this preference is that…
Descriptors: Data Analysis, Models, Statistical Analysis, Undergraduate Students
Kulkarni, Tara; Weeks, Mollie R.; Sullivan, Amanda L. – Equity Assistance Center Region III, Midwest and Plains Equity Assistance Center, 2021
This Equity Tool, intended to support when critically reading a research study/report, provides a brief introduction to key concepts and issues involved in using largescale research, calling attention to high profile controversies, and providing explicit linkages to desegregation areas (race, sex, nationality, religion). The first part (Table 1)…
Descriptors: Equal Education, Check Lists, Data Analysis, Research Reports
Akman, Ozkan; Alagoz, Bulent – Journal of Education and Practice, 2017
The purpose of education should be to raise people who are researchers, developer, investigating what they find, use their knowledge in their behaviors and who can interpret and put new things on them. When children are being educated, the experience should be before the occurrence of the story. First, good and bad environment should be shown,…
Descriptors: Foreign Countries, Preservice Teachers, Elementary School Teachers, Environmental Education
Kay, Robin; Benzimra, Daniel; Li, Jia – Journal of Educational Computing Research, 2017
Previous research on distractions and the use of mobile devices (personal digital assistants, tablet personal computers, or laptops) have been conducted almost exclusively in higher education. The purpose of the current study was to examine the frequency and influence of distracting behaviors in Bring Your Own Device secondary school classrooms.…
Descriptors: Foreign Countries, Influence of Technology, Attention Control, Handheld Devices
Glazer, Nirit – Chemistry Education Research and Practice, 2015
This study examines how students perceive their learning of creating and analyzing data in an introductory inquiry chemistry course at a college level that features oral presentations in student-centered discussions. A student Participant Perception Indicator (PPI) survey was administered in order to obtain data on student perceptions with respect…
Descriptors: Student Attitudes, Scientific Attitudes, Data Collection, Data Analysis
CyGaMEs Selene Player Log Dataset: Gameplay Assessment, Flow Dimensions and Non-Gameplay Assessments
Reese, Debbie Denise – British Journal of Educational Technology, 2015
The "Selene: A Lunar Construction GaME" instructional video game is a robust research environment (institutional review board approved) for investigating learning, affect, and the CyGaMEs Metaphorics approach to instructional video game design, embedded assessment, and informatics analysis and reporting. CyGaMEs applies analogical…
Descriptors: Video Games, Educational Technology, Research, Design
Gray, Geraldine; McGuinness, Colm; Owende, Philip; Hofmann, Markus – Journal of Learning Analytics, 2016
This paper reports on a study to predict students at risk of failing based on data available prior to commencement of first year. The study was conducted over three years, 2010 to 2012, on a student population from a range of academic disciplines, n=1,207. Data was gathered from both student enrollment data and an online, self-reporting,…
Descriptors: Prediction, At Risk Students, Academic Failure, College Freshmen
Peugh, James L.; Heck, Ronald H. – Journal of Early Adolescence, 2017
Researchers in the field of early adolescence interested in quantifying the environmental influences on a response variable of interest over time would use cluster sampling (i.e., obtaining repeated measures from students nested within classrooms and/or schools) to obtain the needed sample size. The resulting longitudinal data would be nested at…
Descriptors: Longitudinal Studies, Early Adolescents, Hierarchical Linear Modeling, Sampling
Lowes, Susan; Lin, Peiyi; Kinghorn, Brian – Journal of Learning Analytics, 2015
As enrolment in online courses has grown and LMS data has become accessible for analysis, researchers have begun to examine the link between in-course behaviours and course outcomes. This paper explores the use of readily available LMS data generated by approximately 700 students enrolled in the 12 online courses offered by Pamoja Education, the…
Descriptors: Integrated Learning Systems, Student Behavior, Online Courses, Asynchronous Communication
Walton, Paul H.; Walton, Daniel J. – International Journal for Transformative Research, 2016
The traditional "leaky pipeline" plots are widely used to inform gender equality policy and practice. Herein, we demonstrate how a statistical phenomenon known as Simpson's paradox can obscure trends in gender "leaky pipeline" plots. Our approach has been to use Excel spreadsheets to generate hypothetical "leaky…
Descriptors: Spreadsheets, Gender Bias, Models, Data Collection
Halmatov, Medera – International Education Studies, 2018
There are important responsibilities expected from primary school students. The most important of these are the learning of reading, writing and arithmetic. There is a "psychological readiness" aspect besides reading, writing and arithmetic in order to be ready for the school. In this study, among the first-grade students, those who were…
Descriptors: Foreign Countries, School Readiness, Psychological Patterns, Elementary School Students
Suryadarma, Daniel – Education Economics, 2015
This paper uses a rich longitudinal dataset to measure the evolution of the gender differences in numeracy among school-age children in Indonesia. Girls outperformed boys by 0.08 standard deviations when the sample was around 11 years old. Seven years later, the gap has widened to 0.19 standard deviations, equivalent to around 18 months of…
Descriptors: Longitudinal Studies, Evidence, Gender Differences, Numeracy
Gravley-Stack, Kara; Ray, Chris M.; Peterson, Claudette M. – Journal of Diversity in Higher Education, 2016
The research presented within this study focuses on the work of postsecondary institutional leaders, chief diversity officers (CDOs), who are change agents within the academy to address historical inequalities in education. Applying the Inclusive Excellence Change Model as the theoretical framework to guide this Q Method study, the researchers…
Descriptors: Q Methodology, College Administration, Administrators, Diversity (Institutional)
Eshetu, Amogne Asfaw – Educational Research and Reviews, 2015
Gender is among the determinant factors affecting students' academic achievement. This paper tried to investigate the impact of gender on academic performance of preparatory secondary school students based on 2014 EHEECE result. Ex post facto research design was used. To that end, data were collected from 3243 students from eight purposively…
Descriptors: Academic Achievement, Gender Differences, Case Studies, Secondary School Students
Cronen, Stephanie; McQuiggan, Meghan; Isenberg, Emily – National Center for Education Statistics, 2018
This First Look report provides selected key findings on adults' attainment of nondegree credentials (licenses, certifications, and postsecondary certificates), and their completion of work experience programs such as apprenticeships and internships. This version of the report corrects an error in three tables in the originally released version…
Descriptors: Adult Education, Educational Attainment, National Surveys, Certification

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