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Leavy, Aisling; Hourigan, Mairéad – Teaching Statistics: An International Journal for Teachers, 2015
We describe how the use of a games environment combined with technology supports upper primary children in engaging with a concept traditionally considered too advanced for the primary classes: "The Law of Large Numbers."
Descriptors: Elementary School Mathematics, Statistics, Probability, Student Motivation
Neumeyer, Ann M.; O'Rourke, Julia A.; Massa, Alexandra; Lee, Hang; Lawson, Elizabeth A.; McDougle, Christopher J.; Misra, Madhusmita – Journal of Autism and Developmental Disorders, 2015
Peripubertal boys with autism spectrum disorder (ASD) have lower bone mineral density (BMD) than typically developing controls. However, it is not clear whether lower BMD in ASD results in an increased fracture rate. This study examined the rate of fractures in children and adults with and without ASD using a national database of emergency room…
Descriptors: Autism, Pervasive Developmental Disorders, Physiology, Children
Andrew Gelman; Daniel Lee; Jiqiang Guo – Journal of Educational and Behavioral Statistics, 2015
Stan is a free and open-source C++ program that performs Bayesian inference or optimization for arbitrary user-specified models and can be called from the command line, R, Python, Matlab, or Julia and has great promise for fitting large and complex statistical models in many areas of application. We discuss Stan from users' and developers'…
Descriptors: Programming Languages, Bayesian Statistics, Inferences, Monte Carlo Methods
Verhagen, Josje; de Bree, Elise; Mulder, Hanna; Leseman, Paul – Journal of Psycholinguistic Research, 2017
This study investigates the relationship between nonword repetition (NWR) and vocabulary in 2-year-olds. Questions addressed are whether (1) NWR and vocabulary are associated, (2) phonotactic probability affects NWR, and (3) there is an interaction effect between phonotactic probability and vocabulary on NWR performance. The general aim of the…
Descriptors: Correlation, Toddlers, Vocabulary Development, English
Kopanidis, Foula Zografina; Shaw, Michael John – Education & Training, 2017
Purpose: Educational institutions are caught between increasing their offer rates and attracting and retaining those prospective students who are most suited to course completion. The purpose of this paper is to demonstrate the influence of demographic and psychological constructs on students' preferences when choosing to study in a particular…
Descriptors: Student Attitudes, Course Selection (Students), Preferences, Models
Lee, Young-Jin – International Journal of Information and Learning Technology, 2017
Purpose: The purpose of this paper is to develop a quantitative model of problem solving performance of students in the computer-based mathematics learning environment. Design/methodology/approach: Regularized logistic regression was used to create a quantitative model of problem solving performance of students that predicts whether students can…
Descriptors: Problem Solving, Educational Environment, Mathematics Instruction, Computer Assisted Instruction
Ahn, June; McEachin, Andrew – Educational Researcher, 2017
We utilize state data of nearly 1.7 million students in Ohio to study a specific sector of online education: K-12 schools that deliver most, if not all, education online, lack a brick-and-mortar presence, and enroll students full-time. First, we explore e-school enrollment patterns and how these patterns vary by student subgroups and geography.…
Descriptors: Charter Schools, Enrollment Rate, Enrollment Trends, Online Courses
Vergolini, Loris; Vlach, Eleonora – Higher Education: The International Journal of Higher Education Research, 2017
In this paper, we analyse social inequalities along the horizontal dimension of education in Italy. More precisely, we focus on the role of family background in completing specific fields of study at both secondary and tertiary levels of education. To mitigate the limitations of the traditional sequential model, we construct a typology of…
Descriptors: Foreign Countries, Family Characteristics, College Graduates, High Schools
Bozick, Robert; Srinivasan, Sinduja; Gottfried, Michael – Education Economics, 2017
Our study assesses whether high school science, technology, engineering, and mathematics (STEM) courses provide non-college bound youth with the skills and training necessary to successfully transition from high school into the STEM economy. Specifically, our study estimates the effects that advanced math, advanced science, engineering, and…
Descriptors: STEM Education, Noncollege Bound Students, Career Readiness, Job Skills
Ratcliff, Nancy; Carroll, Kimberly; Savage-Davis, Emma; Costner, Richard; Jones, Cathy; Pritchard, Nicholas; Hunt, Gilbert – Education, 2017
Providing young children with appropriate language models is crucial when developing a high quality learning environment. This article shares findings from an observational study designed to gain insight into how teachers and paraprofessionals modeled language in federally funded prekindergarten classrooms and how the four-year-old students…
Descriptors: Oral Language, Language Usage, Preschool Education, Teaching Methods
Rochelle, Joseph – ProQuest LLC, 2017
In this dissertation, the researcher examined and added to the body of knowledge within the project change management field of technology implementation. The rationale behind the study was to evaluate technology acceptance of Enterprise Social Networking (ESN), which has been widely implemented across over 90% of the "Fortune" 500…
Descriptors: Social Networks, Computer Attitudes, Personality Traits, Age
Sun, Jing; Spinney, Samantha – ICF International, 2017
For more than 30 years, NAF has been working to transform the American high school experience by joining the corporate and education worlds to help ensure that students graduate high school and are prepared for college and careers. NAF's education design incorporates an academy-development framework, alongside rigorous career-themed curricula and…
Descriptors: High School Students, High School Graduates, Graduation Rate, Cohort Analysis
Britton, Tolani; Spencer, George – AERA Online Paper Repository, 2017
A synopsis of students course taking and the type of diploma chosen by high school students, also known as their Individualized Learning Plans (ILP), provides a holistic view of student's preparation in high school, and serves as a reliable indicator of their college and career readiness. While ILPs are mandated in over 30 states, limited work has…
Descriptors: High School Students, Individualized Education Programs, Individualized Instruction, College Readiness
Phelan, Julia; Egger, Jeffrey; Kim, Junok; Choi, Kilchan; Keum, Eunhee; Chung, Gregory K. W. K.; Baker, Eva L. – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2021
The National Math + Science Initiative (NMSI) is a nonprofit organization committed to improving educational outcomes that traces its roots back to the early 1990s. NMSI's College Readiness Program (CRP) is a long-standing program with the goal of promoting STEM education in high schools to improve students' preparation for college. The three-year…
Descriptors: College Readiness, Nonprofit Organizations, Program Evaluation, STEM Education
Shields, Katherine A.; Bailey, Jessica; Hanita, Makoto; Zhang, Xinxin – Regional Educational Laboratory Northeast & Islands, 2021
This study examined participation in accelerated college credit programs dual enrollment, concurrent enrollment, and Advanced Placement courses in Rhode Island high schools to understand their effects on educational attainment in the 2013/14 grade 9 cohort. The state, which has funded and promoted these opportunities for students to earn college…
Descriptors: Acceleration (Education), Dual Enrollment, Advanced Placement Programs, High School Students

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