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3 results on '"Ceada-Garrido, Yolanda"'

1. Factors Explaining Students' Engagement and Self-Reported Outcomes in a Project-Based Learning Case

Author

Tirado-Morueta, Ramón, Ceada-Garrido, Yolanda, Barragán, Antonio J., Enrique, Juan M., and Andujar, José M.

Abstract

Project-based learning (PBL) has been a methodology traditionally associated with student engagement and good results. However, not all experiences are sufficiently satisfactory. Comprehensive models that explain the success or failure of these experiences are still lacking. The objective of this study was to understand the mechanisms that explain student engagement and other satisfactory educational results of PBL. During two academic years, the Sustainable Urban Race (SUR) project was analyzed. In this project, students from secondary schools should design and build an electric vehicle using solar energy. In the present study, a multigroup analysis of structural equations was applied. The data showed a positive association of the challenging and support-enriched context with the students' engagement, being partially mediated by the satisfaction of the competence needs, peer relationships and group autonomy. The study provides a useful framework for practitioners and researchers of student engagement in PBL.

Published
2022
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2. The Gender Gap in STEM Careers: An Inter-Regional and Transgenerational Experimental Study to Identify the Low Presence of Women

Author

Martínez Luna, Macarena, Segura Manzano, Francisca, Andújar Márquez, José Manuel, and Ceada Garrido, Yolanda

Subjects
58 Pedagogía, 6309.09 Posición Social de la Mujer, Employment, Participatory workshop, Expectancy-value theory of motivation, Experimental study, Gender stereotypes theory, STEM careers, Social role theory, Gender gap, European education
Abstract

Currently, the number of job offers in STEM careers (Science, Technology, Engineering and Mathematics) is growing up, but by contrast, the number of graduates in these fields is decreasing, particularly women graduates. Consequently, if we do not promote the training of women in STEM careers, the gender gap, far from narrowing, will continue to widen. This paper presents the research carried out in the ALAS project (Accompanying girLs towArds STEM careers), which consists of an experimental analysis based on a multi-model study to discover the possible causes of this low participation of women in STEM fields. The models used are the (1) expectancy–value theory of motivation, (2) social role theory, and (3) gender stereotypes theory. Additionally, participatory workshops have been carried out, with the aim of capturing the students’ reactions when they are introduced to STEM practices. The surveyed target groups range from primary education groups up to university graduates and enterprise employees, including both students and teachers. The obtained results show that there are still social patterns that make young people differentiate certain types of activities based on gender, especially at secondary school age. Nevertheless, the findings reveal that beyond the three studied models, a key factor in young people’s decision to be enrolled in STEM careers is their educational environment., This research was funded by Ref:15/3ACT/21 and the APC was funded by Ref: 2020-1-IT02-KA226-HE-095424.

Published
2023

3. Actas de las IV Jornadas ScienCity 2021. Fomento de la Cultura Científica, Tecnológica y de Innovación en Ciudades Inteligentes

Author

Segura Bonilla, Olman, García Sánchez, Daniela, Mena Nieto, Ángel Isidro, Golpe Moya, Antonio Aníbal, Molina-Gómez, Jose Carlos, Mena-Gonzalez, Angel, Da Silva-Lima, Lucas, Martínez Luna, Macarena, García Vivas, Rocío, Segura Manzano, Francisca, Andújar Márquez, José Manuel, Morillo Reina, Juan Diego, Mateo Sanguino, Tomás Jesús, Pino Fernández, Joaquín del, Ruiz Castilla, Daniel, Millán Prior, Borja, Ceada Garrido, Yolanda, Ríos Gutiérrez, Juan, Barragán Piña, Antonio Javier, Enrique Gómez, Juan Manuel, Tejada Guzmán, Diego, Amaro, Jair, Gamero, José, Sánchez-Herguedas, Antonio, Rodrigo-Muñoz, Francisco, Villalba-Diez, Javier, Ordieres-Meré, Joaquín, Noguera, Miguel, Sayago Gómez, Ana, Fernández Recamales, María Ángeles, Felipe Pulido, Ángel, Gamero, Ulises, Mariano Rodríguez-Pérez, Ángel, Pulido Calvo, Inmaculada, Hernández-Garrido, Rocío, Perea El Khalifi, David, Pérez-Calañas, Cinta, Lozano Domínguez, José Manuel, Redondo González, Manuel Joaquín, Cortés Ancos, Estefanía, Santos, Carla, Dias, Cristina, Morón Monge, María del Carmen, Trabajo Rite, Mónica, and Vargas Sánchez, Alfonso

Subjects
Educación digital, Gobernanza, Industria 4.0, Medio ambiente, Seguridad, Sostenibilidad, Economía
Abstract

ScienCity es una actividad que viene siendo continuada desde 2018 con el objetivo de dar a conocer los conocimientos y tecnologías emergentes siendo investigados en las universidades, informar de experiencias, servicios e iniciativas puestas ya en marcha por instituciones y empresas, llegar hasta decisores políticos que podrían crear sinergias, incentivar la creación de ideas y posibilidades de desarrollo conjuntas, implicar y provocar la participación ciudadana, así como gestar una red internacional multidisciplinar de investigadores que garantice la continuación de futuras ediciones. ScienCity ha servido para que universidades, ayuntamientos, organismos públicos y empresas privadas tomen contacto por primera vez en este ámbito. Durante 2021 han asistido 40 participantes de distintos rincones de España, Portugal, Méjico, Costa Rica, Italia y Polonia con 31 ponencias, 8 pósteres, 1 taller, 8 vehículos eléctricos e híbridos, así como 8 propuestas para el concurso de ideas., Fundación Española para la Ciencia y la Tecnología-Ministerio de Ciencia, Innovación y Universidades; Consejería de la Presidencia, Administración Pública e Interior de la Junta de Andalucía; Estrategia de Política de Investigación y Transferencia de la Universidad de Huelva; Cátedra de Innovación Social de Aguas de Huelva; Cátedra de la Provincia Escuela Técnica Superior de Ingeniería; Grupo de investigación TEP-192 de Control y Robótica; Mercedes, BMW, Mini, Kia, Volvo y Tesla

Published
2022

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