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Parada, Roxana Y.; Ikeda, Reiko; Ando, Takayuki; Hishida, Masako; Takeda, Hiroshi; Aklog, Dagnachew; Otachi, Kurie; Yasunobu, Kumi – Journal of Education and Learning, 2018
Participation in overseas programs has recently increased as an international strategy worldwide. However, Japan has been the exception, because the number of Japanese students studying abroad has decreased over the last decade. The Japanese government and universities began efforts to motivate Japanese students to gain international experience.…
Descriptors: Global Education, Foreign Countries, Developing Nations, Questionnaires
Clark, D. Angus; Klump, Kelly L.; Burt, S. Alexandra – Developmental Psychology, 2018
Parent depressive symptomatology is robust risk factor for externalizing behavior in childhood (Goodman et al., 2011). Although the precise mechanisms underlying this association have yet to be fully illuminated, there is some evidence that parent depression can impact externalizing behavior via both genetic and environmental pathways. In the…
Descriptors: Parents, Parent Influence, Depression (Psychology), Symptoms (Individual Disorders)
Cançado, Luciana; Reisel, John R.; Walker, Cindy M. – International Journal of Mathematical Education in Science and Technology, 2018
Many interventions have been proposed to improve the retention and graduation rates of engineering students. One such intervention is to use study groups for first-year college students; such groups provide a structured environment in which the students can learn course material from each other outside of class and can provide the students with a…
Descriptors: College Freshmen, College Mathematics, Communities of Practice, Group Instruction
Luo, Yong; Jiao, Hong – Educational and Psychological Measurement, 2018
Stan is a new Bayesian statistical software program that implements the powerful and efficient Hamiltonian Monte Carlo (HMC) algorithm. To date there is not a source that systematically provides Stan code for various item response theory (IRT) models. This article provides Stan code for three representative IRT models, including the…
Descriptors: Bayesian Statistics, Item Response Theory, Probability, Computer Software
Christian, MacKinsey A.; Samms-Vaughan, Maureen; Lee, MinJae; Bressler, Jan; Hessabi, Manouchehr; Grove, Megan L.; Shakespeare-Pellington, Sydonnie; Coore Desai, Charlene; Reece, Jody-Ann; Loveland, Katherine A.; Boerwinkle, Eric; Rahbar, Mohammad H. – Journal of Autism and Developmental Disorders, 2018
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder with poorly understood etiology. Many maternal exposures during pregnancy and breastfeeding potentially interfere with neurodevelopment. Using data from two age- and sex-matched case-control studies in Jamaica (n = 298 pairs), results of conditional logistic regression…
Descriptors: Autism, Pervasive Developmental Disorders, Pregnancy, Correlation
Scrimin, Sara; Osler, Gabriele; Moscardino, Ughetta; Mason, Lucia – Mind, Brain, and Education, 2018
The present study aimed to investigate the role of classroom climate and self-regulation in terms of cardiac vagal tone and inhibitory control in primary school students' focused attention. A combination of direct and indirect measures was used to assess classroom climate, sustained and selective attention, and inattention behaviors among 62 first…
Descriptors: Attention Control, Elementary School Students, Class Activities, Classroom Environment
Chang-Tik, Chan – Interactive Learning Environments, 2018
In this research, a survey method utilising questionnaires and focus group interviews was employed to determine correlations between students' learning styles and each of the presences in the CoI Framework across disciplines as well as students' blended learning experience. To this end, the linear regression model was the statistical approach used…
Descriptors: Cognitive Style, Communities of Practice, Interdisciplinary Approach, Blended Learning
Jung, Jisun – Asia Pacific Education Review, 2018
This study focuses on doctoral students' professionalisation as future academics across academic disciplines, using a Hong Kong research-oriented university as a case study. Doctoral students acquire the norms, knowledge/skills, and values required for the academic profession through their learning experiences. The study aims to explore how…
Descriptors: Learning Experience, Competence, Graduate Students, Doctoral Programs
Heilmann, John J.; Moyle, Maura J.; Rueden, Ashley M. – Topics in Early Childhood Special Education, 2018
Having strong alphabet knowledge early in life is a powerful predictor of long-term reading and academic outcomes. Upon tracking the alphabet knowledge of 172 children enrolled in their first year of Head Start, we identified that most of the children could name fewer than 10 letters at the beginning of the academic year. Approximately, one third…
Descriptors: Alphabets, Emergent Literacy, Early Intervention, Knowledge Level
Lorah, Julie – Large-scale Assessments in Education, 2018
Effect size reporting is crucial for interpretation of applied research results and for conducting meta-analysis. However, clear guidelines for reporting effect size in multilevel models have not been provided. This report suggests and demonstrates appropriate effect size measures including the ICC for random effects and standardized regression…
Descriptors: Effect Size, Hierarchical Linear Modeling, Definitions, Regression (Statistics)
Wang, Ping; Palocsay, Susan W.; Shi, Jinyan; White, Marion M. – Decision Sciences Journal of Innovative Education, 2018
The rapid growth of analytics is bringing more attention to quantitative core curriculum requirements in undergraduate business programs. Statistical knowledge and skills are unequivocally recognized as essential cornerstone of business analytics. Furthermore, educational research has shown that academic performance in statistics classes is…
Descriptors: Foreign Countries, Undergraduate Students, Student Attitudes, Business Administration Education
Hardy, Ian; Lewis, Steven – Pedagogy, Culture and Society, 2018
The research reports how a particular school reform initiative--'Project 600'--constituted students in one school region Queensland, Australia. Drawing upon topological understandings of power and recent work on the visualisation of data in education, as well as the insights of key staff involved in the project, we reveal the complex and…
Descriptors: Performance Based Assessment, School Statistics, School Effectiveness, Visualization
James, Terry – College Quarterly, 2018
The purpose is to improve insights and educational results by applying analytic methods. The focus is on the mathematics applied to learn from the kind of data available to most classes such as final examination marks or homework grades. The sample is 249 students learning introductory college statistics. The result is a predictive model for…
Descriptors: Data Analysis, Mathematics Instruction, Introductory Courses, Statistics
Seo, Mijung; Choi, Eunsil – School Psychology International, 2018
The aim of this study was to identify the classes of trajectory in mobile phone dependency using growth mixture modeling among Korean early adolescents from elementary school to the middle school transition. The effects of negative parenting on determining the classes were also examined. The participants were 2,378 early adolescents in the Korean…
Descriptors: Telecommunications, Handheld Devices, Child Rearing, Addictive Behavior
Zimmerman, Whitney Alicia; Kang, Hyun Bin; Kim, Kyung; Gao, Mengzhao; Johnson, Glenn; Clariana, Roy; Zhang, Fan – Journal of Statistics Education, 2018
Over two semesters short essay prompts were developed for use with the Graphical Interface for Knowledge Structure (GIKS), an automated essay scoring system. Participants were students in an undergraduate-level online introductory statistics course. The GIKS compares students' writing samples with an expert's to produce keyword occurrence and…
Descriptors: Undergraduate Students, Introductory Courses, Statistics, Computer Assisted Testing

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