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Goodarzi, Shahbaz; Fallah, Vahid; Saffarian, Saeid – International Education Studies, 2016
The purpose of this study is to determine the dimensions of smart schools in the Fars education system and provide a suitable model. The research method is descriptive survey. The study population consisted of all school principals Fars Province in the academic 2014-2015 and number of them was 1364. The sample volume using Cochran method was 302…
Descriptors: Foreign Countries, Models, Principals, Administrator Surveys
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Dorio, Nicole B.; Demaray, Michelle K.; Riffle, Logan N. – Psychology in the Schools, 2022
It is important to understand the mechanisms behind student academic engagement, as engagement in school is associated with a host of positive outcomes. As children mature, their peers become more important compared to adults in regard to their emotional engagement in school. Thus, this study sought to examine an aspect of peer relations,…
Descriptors: Bullying, High School Students, Learner Engagement, Victims
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Besalti, Metin; Satici, Seydi Ahmet – TechTrends: Linking Research and Practice to Improve Learning, 2022
Stay-at-home orders and quarantines have not only shifted traditional face-to-face learning to online learning, but have also led to greatly increased consumption of digital devices during the coronavirus (COVID-19) pandemic. Thus, many students who were new to online learning were forced into a new environment. The purpose of this two-wave…
Descriptors: Internet, Addictive Behavior, Structural Equation Models, Online Courses
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Monge-Agüero, Mauricio; Baena-Luna, Pedro; García-Río, Esther – Journal of Social Studies Education Research, 2022
This study aims to understand the motivation behind academic entrepreneurs launching their business ideas as a company. To accomplish this objective, we analysed the reasons that motivated seventy-four academic entrepreneurs. The results showed that there is no single motivating element for starting an entrepreneurial project for academic…
Descriptors: College Faculty, Entrepreneurship, Innovation, Corporations
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Collier, Daniel A.; Fitzpatrick, Dan; Brehm, Chelsea; Hearit, Keith; Beach, Andrea – Research in Higher Education, 2020
Structural equation modeling (SEM) considering how students' non-cognitive attributes influence first-year college student persistence remain extraordinarily rare--as are studies that test and expand upon published structural models or studies that include college student food security. This study addresses each. We surveyed "Beginner"…
Descriptors: College Freshmen, School Holding Power, Public Colleges, Structural Equation Models
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Sümen, Özlem Özçakir – African Educational Research Journal, 2020
This study investigated the relationships between prospective teachers' STEM activity preparation skills (STEMaps), genders, and mathematics achievements (MA). In the research, a total of 89 prospective elementary school teachers participated. Data were collected by STEM Activity Preparation Forms requiring prospective teachers to prepare STEM…
Descriptors: Gender Differences, Mathematics Achievement, STEM Education, Preservice Teachers
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Simpfenderfer, Amanda Davis; Robles, Jeane; Drummond, Jessica; Garvey, Jason C.; Haslam, Rebecca E.; Dews, Soren D.; Weaver, Caroline A. – Review of Higher Education, 2020
The authors sought to examine how queer and trans students' residential living relates to perceptions of campus climate. Using Hurtado and colleagues' (2012) Multicontextual Model for Diverse Learning Environments, we utilized structural equation modeling to examine queer and trans students' perceptions of campus climate as mediated by…
Descriptors: College Environment, Student Attitudes, College Housing, LGBTQ People
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Silm, Gerli; Must, Olev; Täht, Karin; Pedaste, Margus – Educational Research and Evaluation, 2020
Test-taking motivation (TTM) has been associated with test performance in low-stakes testing contexts. However, there have been few studies about TTM in high-stakes testing contexts, and these have contradictory results. Our aim was to explore the relationship between test-taking effort and test performance in a real-life high-stakes testing…
Descriptors: Student Motivation, Test Wiseness, Grade Prediction, Structural Equation Models
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Aldegether, Reem – International Journal of Education and Practice, 2020
One of the educational objectives of Saudi Arabia's Vision 2030 is to develop students who are creative and critical thinkers. The present study thus examined Saudi elementary teachers' reflective thinking, based on the ideas that teachers who possess reflective thinking will have direct influence on their students' thinking, and that reflective…
Descriptors: Reflection, Public School Teachers, Elementary School Teachers, Foreign Countries
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Long, Nguyen Tien; Van Hanh, Nguyen – International Journal of Higher Education, 2020
Higher education institutions are increasingly recognizing the importance of learning culture as a core factor for students' sustainable learning and development. While the development of blended learning environments in higher education institutions has been steadily increasing in recent years, but how to establish a blended learning culture in…
Descriptors: Structural Equation Models, Blended Learning, Classroom Environment, Foreign Countries
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Cangialosi, Nicola; Odoardi, Carlo; Battistelli, Adalgisa – Vocations and Learning, 2020
This study aims to explore the relationship between learning climate, in the dimensions of learning facilitation and error avoidance, learning potential of the workplace (task-related and interactional) and innovative work behavior. Survey data were collected from a sample of 374 employees and their supervisors from an automatic food distribution…
Descriptors: Correlation, Innovation, Employee Attitudes, Food Service
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Pribeanu, Costin; Balog, Alexandru; Iordache, Dragos Daniel – Interactive Learning Environments, 2017
Augmented reality (AR) technologies could enhance learning in several ways. The quality of an AR-based educational platform is a combination of key features that manifests in usability, usefulness, and enjoyment for the learner. In this paper, we present a multidimensional model to measure the quality of an AR-based application as perceived by…
Descriptors: Computer Simulation, Educational Technology, Measurement, Educational Quality
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Goodwin, Amanda P.; Petscher, Yaacov; Carlisle, Joanne F.; Mitchell, Alison M. – Journal of Research in Reading, 2017
This study examined the dimensionality of morphological knowledge. The performance of 371 seventh- and eighth-graders on seven morphological knowledge tasks was investigated using confirmatory factor analysis. Results suggested that morphological knowledge was best fit by a bifactor model with a general factor of morphological knowledge and seven…
Descriptors: Morphology (Languages), Grade 7, Grade 8, Factor Analysis
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Gubbels, Joyce; Segers, Eliane; Verhoeven, Ludo – Creativity Research Journal, 2017
In some models, intelligence has been described as a multidimensional construct comprising both analytical and creative abilities. In addition, intelligence is considered to be dynamic rather than static. A structural equation model was used to examine the predictive role of cognitive (visual short-term memory, verbal short-term memory, selective…
Descriptors: Creativity, Foreign Countries, Short Term Memory, Grade 5
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Lewis, Todd F. – Measurement and Evaluation in Counseling and Development, 2017
American Educational Research Association (AERA) standards stipulate that researchers show evidence of the internal structure of instruments. Confirmatory factor analysis (CFA) is one structural equation modeling procedure designed to assess construct validity of assessments that has broad applicability for counselors interested in instrument…
Descriptors: Educational Research, Factor Analysis, Structural Equation Models, Construct Validity
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