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Davidson, P.; Roslan, S.; Omar, Z.; Chong Abdullah, M.; Looi, S. Y.; Neik, T. T. X.; Yong, B. – Asia Pacific Education Review, 2019
This study reported the results of Structural Equation Modelling (SEM) analyses on 13 competing structural models on the inter-relationships among academic achievement and student- and course-related attributes. The samples were Malaysian pre-university students enrolled in two STEM courses (biology, n = 326; mathematics, n = 339; biology only, n…
Descriptors: Foreign Countries, Academic Achievement, STEM Education, Structural Equation Models
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Rao, Sandeep; Andini, Veena – Higher Education Quarterly, 2019
With increasing student migration for Higher Education to Karnataka, it is important to understand the reasons which influence the migrants. Studies have indicated various push and pull factors for migration. This paper identifies career opportunities, value for education, brand equity, living conditions and others as pull factors of student…
Descriptors: Structural Equation Models, Student Mobility, Higher Education, Employment Opportunities
Yin, Hongbiao; Lee, John Chi-Kin; Zhang, Zhonghua – ECNU Review of Education, 2020
Purpose: Catering for learner diversity is a key issue in the recent educational reforms in Hong Kong. The present study addresses this issue through an investigation of the relationships between students' learning styles and approaches to learning in Hong Kong secondary schools. Design/Approach/Methods: A total of 6,054 junior secondary students…
Descriptors: Student Diversity, Cognitive Style, Educational Change, Correlation
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Lin, Xiao-Fan; Tang, Dandan; Shen, Weipeng; Liang, Zhong-Mei; Tang, Yaner; Tsai, Chin-Chung – International Journal of Science Education, 2020
This study examines the correlations between perceived technology-assisted teacher support; student hardiness (i.e. individual commitment, challenge, and control); and technology-embedded scientific inquiry (TESI) using a mediational model approach. Data were gathered from the series of questionnaires administered to 1566 Chinese students with an…
Descriptors: Foreign Countries, Technology Uses in Education, Scientific Research, Student Characteristics
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Bratsch-Hines, Mary E.; Carr, Robert; Zgourou, Eleni; Vernon-Feagans, Lynne; Willoughby, Michael – Child Development, 2020
This study considered the quality and stability of infant and toddler nonparental child care from 6 to 36 months in relation to language, social, and academic skills measured proximally at 36 months and distally at kindergarten. "Quality" was measured separately as caregiver-child verbal interactions and caregiver sensitivity, and…
Descriptors: Infants, Toddlers, Child Care, Educational Quality
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Choo, Jinhee; Bakir, Nesrin; Scagnoli, Norma I.; Ju, Boreum; Tong, Xiaoping – TechTrends: Linking Research and Practice to Improve Learning, 2020
This paper presents the results of a study that explored undergraduate students' perceptions of cognitive, social, and teaching presences in online business courses and their relationship to students' course satisfaction in addition to demographic variables. Student engagement has proven to be one of the main reasons for student retention and…
Descriptors: Student Attitudes, Online Courses, Business Administration Education, Communities of Practice
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Froiland, John Mark; Worrell, Frank C. – Psychology in the Schools, 2016
Using structural equation models, with gender, parent education, and prior grade point average (GPA) as control variables, we examined the relationships among intrinsic motivation to learn, learning goals, behavioral engagement at school, and academic performance (measured by GPA) in 1,575 students in an ethnically and racially diverse high…
Descriptors: High School Students, Student Motivation, Student Educational Objectives, Learner Engagement
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Levy, Roy – Educational Psychologist, 2016
In this article, I provide a conceptually oriented overview of Bayesian approaches to statistical inference and contrast them with frequentist approaches that currently dominate conventional practice in educational research. The features and advantages of Bayesian approaches are illustrated with examples spanning several statistical modeling…
Descriptors: Bayesian Statistics, Models, Educational Research, Innovation
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Dierks, Pay O.; Höffler, Tim N.; Blankenburg, Janet S.; Peters, Heide; Parchmann, Ilka – International Journal of Science Education, 2016
Considering the reported lack of interest in the STEM-domain and the consequential difficulties in recruiting talented and interested young academics, the development of effective enrichment measures is indispensable. This requires a precise picture of students' interests. The paper presents an approach to characterize interest profiles in…
Descriptors: Foreign Countries, Secondary School Students, Student Interests, Science Interests
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Checton, Maria G.; Magsamen-Conrad, Kate; Venetis, Maria K.; Greene, Kathryn – Health Education & Behavior, 2015
The purpose of the present study was to apply Berg and Upchurch's developmental-conceptual model toward a better understanding of how couples cope with chronic illness. Specifically, a model was hypothesized in which proximal factors (relational quality), dyadic appraisal (illness interference), and dyadic coping (partner support) influence…
Descriptors: Coping, Chronic Illness, Models, Interpersonal Relationship
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Kristianto, Budhi – Journal of Information Technology Education: Research, 2017
Background: Although Indonesia is one of the world's most populated countries with a high penetration of internet usage there has been little research on SNS usage in Indonesia, especially involving children. Instead, SNS research in Indonesia has focused on university students and political, marketing, and disaster mitigation issues. Aim/Purpose:…
Descriptors: Foreign Countries, Grade 4, Grade 5, Grade 6
Nese, Joseph F. T.; Stevens, Joseph J.; Schulte, Ann C.; Tindal, Gerald; Elliott, Stephen N. – Journal of Special Education, 2017
Our purpose was to examine different approaches to modeling the time-varying nature of exceptionality classification. Using longitudinal data from one state's mathematics achievement test for 28,829 students in Grades 3 to 8, we describe the reclassification rate within special education and between general and special education, and compare four…
Descriptors: Classification, Achievement Gains, Special Needs Students, Mathematics Achievement
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Khany, Reza; Nejad, Ali Mansouri – RELC Journal: A Journal of Language Teaching and Research, 2017
This study examines the relationship between L2 willingness to communicate (L2WTC), L2 unwillingness to communicate (L2UWTC) and the personality traits of openness to experience and extraversion in an Iranian context. The Pearson correlation and descriptive statistics were used to analyse the results from a study with 217 English major students. A…
Descriptors: Second Language Learning, Structural Equation Models, Communication (Thought Transfer), English (Second Language)
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Jung, Jae Yup; Young, Marie – Psychology in the Schools, 2017
A mixed-methods design was employed to identify the cognitive processes that lead to occupational/career indecision for economically disadvantaged adolescents of high intellectual ability. In the first phase, interview data collected from 26 economically disadvantaged intellectually gifted Australian adolescents were analyzed using grounded theory…
Descriptors: Foreign Countries, Adolescents, High School Students, Occupational Aspiration
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Huang, Chung-Kai; Lin, Chun-Yu; Lin, Zih-Cin; Wang, Cui; Lin, Chia-Jung – International Association for Development of the Information Society, 2017
Due to the competitive and fast-changing nature of external business environments, university students should acquire knowledge of how to cooperate, share knowledge, and enhance team effectiveness and individual learning in the future workplace. Consequently, the redesign of business courses in higher education merits more discussion. Based on the…
Descriptors: Teamwork, Foreign Countries, Information Dissemination, Educational Technology
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