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Direct linkAna F. Backes; Valmor Ramos; Ricardo T. Quinaud; Sergio J. Ibáñez; Juliana Pizani; Humberto M. Carvalho; Juarez V. Nascimento – Quest, 2024
This study examined Physical Education Pre-Service Teachers' (PSTs) perceptions of their teaching from constructivist teaching practices and their variation among PSTs' responses when aggregated by sex, teaching practices curriculum, extension project, and university type. The sample consisted of 869 Physical Education PSTs from Brazil (female =…
Descriptors: Physical Education, Physical Education Teachers, Preservice Teachers, Teaching Methods
Lúcio, Patrícia Silva; Vandekerckhove, Joachim; Polanczyk, Guilherme V.; Cogo-Moreira, Hugo – Journal of Psychoeducational Assessment, 2021
The present study compares the fit of two- and three-parameter logistic (2PL and 3PL) models of item response theory in the performance of preschool children on the Raven's Colored Progressive Matrices. The test of Raven is widely used for evaluating nonverbal intelligence of factor g. Studies comparing models with real data are scarce on the…
Descriptors: Guessing (Tests), Item Response Theory, Test Validity, Preschool Children
Mendes, Felipe G.; Nascimento, Juarez V.; Souza, Edison R.; Collet, Carine; Milistetd, Michel; Côté, Jean; Carvalho, Humberto M. – High Ability Studies, 2018
The patterns of cumulated structured volleyball practice and other structured sports activities of elite adult Brazilian players, considering age of specialization in volleyball and achievement of international competition representing the national team, were examined using Bayesian multilevel models. Elite volleyball players (n = 78) with an…
Descriptors: Bayesian Statistics, Team Sports, Foreign Countries, Adults
Eliasquevici, Marianne Kogut; da Rocha Seruffo, Marcos César; Resque, Sônia Nazaré Fernandes – International Journal of Distance Education Technologies, 2017
This article presents a study on the variables promoting student retention in distance undergraduate courses at Federal University of Pará, aiming to help school managers minimize student attrition and maximize retention until graduation. The theoretical background is based on Rovai's Composite Model and the methodological approach is conditional…
Descriptors: Distance Education, Case Studies, Academic Persistence, Undergraduate Students
da Silva, Aleksandra do Socorro; de Brito, Silvana Rossy; Martins, Dalton Lopes; Vijaykumar, Nandamudi Lankalapalli; da Rocha, Cláudio Alex Jorge; Costa, João Crisóstomo Weyl Albuquerque; Francês, Carlos Renato Lisboa – International Journal of Distance Education Technologies, 2014
Evaluating and monitoring large-scale distance learning programs require different techniques, systems, and analysis methods. This work presents challenges in evaluating and monitoring digital inclusion training programs, considering the aspects inherent in large-scale distance training, and reports an approach based on network and distance…
Descriptors: Social Networks, Network Analysis, Distance Education, Program Evaluation
Soares, Tufi M.; Goncalves, Flavio B.; Gamerman, Dani – Journal of Educational and Behavioral Statistics, 2009
In this article, an integrated Bayesian model for differential item functioning (DIF) analysis is proposed. The model is integrated in the sense of modeling the responses along with the DIF analysis. This approach allows DIF detection and explanation in a simultaneous setup. Previous empirical studies and/or subjective beliefs about the item…
Descriptors: Test Bias, Bayesian Statistics, Models, Item Response Theory
Download full textRafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
