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Méndez-Giménez, Antonio; del Pilar Mahedero-Navarrete, María; Puente-Maxera, Federico; de Ojeda, Diego Martínez – European Physical Education Review, 2022
Research on the impact of the Sport Education model (SEM) in motivational terms is prolific and consistent; however, studies that jointly address the effects of the SEM on adolescents' motivational, emotional, and well-being dimensions are scarce. This study aimed to examine the effect of a multi-season SEM-based program on self-determined…
Descriptors: Physical Education, Student Motivation, Psychological Patterns, Well Being
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Martín-García, Antonio Víctor; Martínez-Abad, Fernando; Reyes-González, David – British Journal of Educational Technology, 2019
The purpose of the study is to analyse and identify the stages of adoption of the blended learning (BL or b-learning) methodology in higher education contexts, and to assess the relationship of these stages with a set of variables related to personal and professional characteristics, attributes perceived on BL and contextual variables. About 980…
Descriptors: Blended Learning, Adoption (Ideas), Higher Education, Educational Technology
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Maass, Katja; Engeln, Katrin – Journal of Education and Training Studies, 2018
Although well researched in educational studies, inquiry-based learning, a student-centred way of teaching, is far away from being implemented in day-to-day science and mathematics teaching on a large scale. It is a challenge for teachers to adopt this new way of teaching in an often not supportive school context. Therefore it is important to…
Descriptors: Active Learning, Inquiry, Faculty Development, Foreign Countries
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Austin, Bruce; French, Brian; Adesope, Olusola; Gotch, Chad – Journal of Experimental Education, 2017
Measures of variability are successfully used in predictive modeling in research areas outside of education. This study examined how standard deviations can be used to address research questions not easily addressed using traditional measures such as group means based on index variables. Student survey data were obtained from the Organisation for…
Descriptors: Predictor Variables, Models, Predictive Measurement, Statistical Analysis
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Riofrio-Luzcando, Diego; Ramirez, Jaime; Berrocal-Lobo, Marta – IEEE Transactions on Learning Technologies, 2017
Data mining is known to have a potential for predicting user performance. However, there are few studies that explore its potential for predicting student behavior in a procedural training environment. This paper presents a collective student model, which is built from past student logs. These logs are first grouped into clusters. Then, an…
Descriptors: Student Behavior, Predictive Validity, Predictor Variables, Predictive Measurement
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Wendt, Heike; Kasper, Daniel; Trendtel, Matthias – Large-scale Assessments in Education, 2017
Background: Large-scale cross-national studies designed to measure student achievement use different social, cultural, economic and other background variables to explain observed differences in that achievement. Prior to their inclusion into a prediction model, these variables are commonly scaled into latent background indices. To allow…
Descriptors: Measurement, Achievement Tests, Cultural Differences, Socioeconomic Influences
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García-Moya, Irene; Brooks, Fiona; Morgan, Antony; Moreno, Carmen – Health Education Journal, 2015
Objectives: Teacher connectedness is an important factor for young people's well-being. The aim of this paper was to examine teacher connectedness in detail and its potential association with emotional wellbeing. More specifically, we set out to analyse whether teacher connectedness acted as a universal asset for boys and girls of different ages…
Descriptors: Foreign Countries, Teacher Student Relationship, Well Being, Adolescents
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Castejón, Alba; Zancajo, Adrián – European Educational Research Journal, 2015
This article focuses on analysing the effect of educational differentiation policies of OECD educational systems on socioeconomically disadvantaged students, based on data from PISA 2009. The analysis is conducted on the basis of a definition of two subgroups of disadvantaged students: those that achieve high scores, and those obtaining scores…
Descriptors: Disadvantaged, Educational Policy, Educational Practices, Individualized Programs
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Alcaraz, Saul; Torregrosa, Miquel; Viladrich, Carme – Research Quarterly for Exercise and Sport, 2015
Purpose: The purpose of the present research was to test how behavioral regulations are mediated between basic psychological needs and psychological well-being and ill-being in a sample of team-sport coaches. Based on self-determination theory, we hypothesized a model where satisfaction and thwarting of the basic psychological needs predicted…
Descriptors: Well Being, Psychological Needs, Athletic Coaches, Motivation
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Traverso, Joaquin; Roman, Marisa; Gonzalez, Rosario – Higher Education Review, 2012
Obtaining competitive advantage has become a recurrent necessity, in successful organisational management. Nowadays, intangibles represent an excellent opportunity to attain these advantages. Given its social impact, the organisational image is one of the most important intangibles to work with. In this research, a model based on the determination…
Descriptors: Stakeholders, Change Strategies, Strategic Planning, Institutional Advancement
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Meneses, Julio; Fabregues, Sergi; Rodriguez-Gomez, David; Ion, Georgeta – Computers & Education, 2012
In recent years there has been widespread interest in the implementation of information and communication technologies (ICT) in schools. While most studies primarily focus on the use of ICT in teaching and learning, little attention has been given to their incorporation as a professional tool outside the classroom. Using a digital inequality…
Descriptors: Secondary Schools, Information Technology, Foreign Countries, Internet
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Dolan, Conor V.; Colom, Roberto; Abad, Francisco J.; Wicherts, Jelte M.; Hessen, David J.; van de Sluis, Sophie – Intelligence, 2006
We investigated sex effects and the effects of educational attainment (EA) on the covariance structure of the WAIS-III in a subsample of the Spanish standardization data. We fitted both first order common factor models and second order common factor models. The latter include general intelligence ("g") as a second order common factor.…
Descriptors: Educational Attainment, Gender Differences, Intelligence, Models
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Duarte, Rosa; Escario, Jose Julian; Molina, Jose Alberto – Economics of Education Review, 2006
This paper examines the hypothetically bi-directional relationship which links marijuana consumption and school failure among students. To that end, we propose a simultaneous probability model, which is estimated by using the information provided by the three consecutive waves from the Spanish Surveys on Drug Use in the School Population [(1996,…
Descriptors: Models, Correlation, One Parent Family, Foreign Countries
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers