https://revistas.cefet-rj.br/index.php/producaoedesenvolvimento/issue/feed Revista Produção e Desenvolvimento 2020-02-29T04:18:35+00:00 José André Villas Boas Mello jose.mello@cefet-rj.br Open Journal Systems <p>Revista Produção e Desenvolvimento (also known as Research in Production and Development or RPD) is edited since 2015 by Centro Federal de Educação Tecnológica Celso Suckow da Fonseca, without interruption. It has continuous flow periodicity, uses the peer review method for evaluation.<br>From 2020 onwards, it assumes the American Psychological Association (APA) publication standards. The fulfillment of these requirements facilitates their indexation in the main international databases of specialty journals, which guarantees a greater diffusion of published works and, consequently, of their authors and work centers.<br>Its mission is to publish multidisciplinary research that contributes to the development of cities and their productive systems. It deals with subjects related to educational, technological, productive, environmental and business projects. The published material serves researchers, teachers, students and managers of companies and municipalities.</p> <p>Revista Produção e Desenvolvimento is a multidisciplinary journal that intends to publish, with priority, articles in English and spanish, as a way to spread to a more diverse public. We also receive portuguese articles for evaluation. If a portuguese article submission be approved, the authors will do the translation. Articles in other languages ​​can be part of up to 40% of a Dossier publication, when programming this type.<br><br>Address: estr. Adrianópolis, 1317 - Vila Nossa Senhora da Conceicao, Nova Iguaçu - RJ, 26041-271 - Telephone: (21) 2886-8916</p> <p><a href="https://www.facebook.com/Revista-Produ%C3%A7%C3%A3o-e-Desenvolvimento-2170098236582885">Facebook</a></p> https://revistas.cefet-rj.br/index.php/producaoedesenvolvimento/article/view/422 A PROPOSAL FOR A STRUCTURAL EQUATION MODEL TO EXPLAIN ACADEMIC PERFORMANCE IN E-LEARNING 2020-02-29T04:18:35+00:00 Adrián Moneta Pizarro adrianmoneta@iua.edu.ar Mariana Verónica González mgonzalez@iua.edu.ar Carina María Tofful carinatofful@iua.edu.ar Mercedes Arrieta marrieta@iua.edu.ar Valeria Britos vbritos@iua.edu.ar <p><strong>Purpose: </strong>Present the advances of a research project whose main goal is the construction and empirical validation of a structural equations model to explain the students’ academic performance in Administration distance degree careers of the Universidad de la Defensa Nacional (Argentina).</p> <p><strong>Methodology/Approach:</strong> Were selected and adapted indicators for each latent variable identified at the theorical model. For selection in some cases we resort to measurable variables in objective units and in other cases to subjective variables measurement scales validated by previous research. For adaptation, we consider the population characteristics under study and the distance education model particularly applied in the University.</p> <p><strong>Findings:</strong> A measurement model formulation was obtained which, linked to the causal model proposed as a result of bibliographic background integration, allowed us to reach a complete structural equations model specification with six latent variables, five endogenous and one exogenous.</p> <p><strong>Research Limitation/implication:</strong> Consider that the observed variables selected are the ones that best combine to identify the hypothesized constructs.</p> <p><strong>Originality/Value of paper:</strong> Learning in virtual environments is the main endogenous latent variable of the model, explained by previous knowledge, motivation, digital skills, self-regulation and interaction processes.</p> 2020-02-29T01:46:01+00:00 Copyright (c) 2020 Revista Produção e Desenvolvimento https://revistas.cefet-rj.br/index.php/producaoedesenvolvimento/article/view/427 Reconstructing Powerful Knowledge in an era of climate change 2020-02-07T23:10:18+00:00 Andrew Kirby andrew.kirby@asu.edu <p><strong>Purpose:</strong> Identifies a hierarchy of information and argues that professional knowledge has marginalized ‘local knowledge’.&nbsp;</p> <p><strong>Methodology/Approach: </strong>In a review of recent research, the paper offers examples of how ‘wicked problems’ (from obesity to climate change) impose different burdens on different communities, which foregrounds the value of residents’ experiences.</p> <p><strong>Findings: </strong>In an era of climate change, adaptive planning must incorporate ‘local knowledge’, which may return to older technologies and established practices.</p> <p><strong>Research Implication: </strong>The paper argues that ‘local knowledge’ can be ‘powerful knowledge’, as discussed within&nbsp;&nbsp; educational research, which has important implications for school and college curricula.&nbsp;&nbsp;</p> <p><strong>Originality/Value of paper: </strong>Amateur experts, citizen observatories and crowd sourced data can all play significant roles within communities facing new forms of risk and hazard.</p> 2020-01-31T00:00:00+00:00 Copyright (c) 2020 Revista Produção e Desenvolvimento