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The museum between the interests and experiences of future teachers. The case of Andalusia
Full text linkMuseums in Primary Education: Conceptions and Practices of Active Teachers
Full text linkEl aprovechamiento didáctico de los museos ofrece diversas oportunidades de aprendizaje para
el conocimiento social, así como para el desarrollo de una ciudadanía democrática. Por ello, en
este estudio indagamos en las concepciones y prácticas del profesorado de Educación Primaria
en relación con el uso de estos espacios culturales para la enseñanza y el aprendizaje de los
saberes sociales. La investigación, etnográfica y de carácter cualitativo, ha involucrado a 81
docentes que han sido entrevistados. Los resultados muestran una amplia valoración de los
museos como recurso educativo, no obstante, existen limitaciones que obstaculizan su
aprovechamiento, como son la falta de formación, la escasez de materiales y recursos para guiar
el trabajo docente o la dificultad de organizar salidas fuera del contexto escolar para visitar estos
lugares. Se concluye que es necesario mejorar la formación del profesorado y reforzar una
integración más efectiva de las colecciones museísticas en la práctica educativa
A hybrid deep learning approach for enhancing the Lorentzian curve fit algorithm for Schumann resonance
Full text linkSchumann Resonance (SR) represents a set of very weak signals formed by the electromagnetic wave propagation along the Earth-ionosphere cavity. Traditionally, SR studies have focused on extracting only their first mode using the average frequency spectrum over long segments. However, advances in sensor technology and digitalization now allow for the analysis of multiple modes, which can significantly enhance our understanding and characterization of SR signals. Even in this context, standard techniques, such as Lorentzian Curve Fit (LCF), often fail to retain the characteristics of the signal when the multiple modes are included, especially under harsh weather conditions. This limitation arises from the mathematical challenges of fitting procedures over noisy, highly variable signals, which become more pronounced when extracting more than three modes. In this paper, we put forward a solution to this problem. Its novelty stems from a Deep Learning (DL) methodology based on three different autoencoder strategies and two learning schemes to denoise signals, handle multiple SR modes simultaneously, while adapt to their non-stationarity and variability. The results demonstrate that the DL model achieves high performance even when fitting a Lorentzian function is impossible, by effectively extracting multiple SR modes under challenging conditions. This outcome provides compelling evidence for further investigation into the use of DL data reduction techniques for analyzing SR signals
Scoping Review on Digital Creativity: Definition, Approaches, and Current Trends
Full text linkThis review analyses the evolution of digital creativity from 2000 to 2022, defining
it as a dynamic process where digital technologies foster collaboration, inclusion, selfexpression,
and automation. Based on 29 studies from databases such as Dialnet, UOC,
Scopus, the Web of Science, and PsyINFO, and utilising the PRISMA and SPIDER methodologies,
the research provides a comprehensive overview of the field. Digital creativity is
described as the generation of new and valuable ideas, products, or solutions through digital
tools that combine cognitive and socio-emotional skills in collaborative environments.
Intuition, understood as the ability to make quick and effective decisions based on pattern
recognition and prior experiences, plays a crucial role in the creative process. The study
highlights its impact on education, enabling students to explore self-expression and solve
problems creatively, merging analogue and digital creativity. In the professional realm, it
optimises innovative processes, promoting efficiency and collaboration. The integration of
emerging technologies, such as programming and 3D animation, in educational curricula
is emphasised to prepare students for future challenges. Additionally, interdisciplinary
research is advocated to ensure that digital tools amplify creativity, addressing ethical issues
such as intellectual property and the social implications of automated creativity. Finally,
the current trends such as game-based learning, innovation driven by social networks, and
artificial intelligence are examined, proposing directions for future research
Base de datos de plastificantes no ftálicos
No full textBase de datos para la caracterización espectrométrica de plastificantes no ftálicos.Ministerio de Economía y Competitividad de España. Referencia Proyecto: PID2022-137122OB-I0
Emergence and Development of a News Hate Cycle About Immigrants: The Case of Immigrants Transferred from the Canary Islands to the Spanish Mainland
Full text linkIn this article, we present the findings of research focused on the emergence and development of an immigration-related news hate cycle in Spain. During the period from 24 to 29 October 2023, there was an unusual increase in social media posts about the Spanish government’s transfer of immigrants from the Canary Islands to the Spanish mainland. Based on the monitoring of 918 posts collected through AI media-monitoring software (Determ d.o.o), our study identify how hate speech against immigrants was generated and spread. In particular, we aim to identify the main actors and influencers involved in its creation, dissemination, and transformation, and how these actors manipulate interpretative frameworks by introducing arguments about a supposed comparative grievance between the Spanish people and immigrants in order to foment hatred and strengthen attitudes of rejection towards immigrants, presenting them as invaders, criminals, and terrorists. In this news cycle, hate speech reaches its peak when the press of trustworthy information echoes the disinformation. The analysis of the actors involved and the temporal sequence on social media and websites reveals how they achieve this. It also allows us to develop tools to counter the spread of hate speech
Enhancing performance through CSR absorptive capacity: Understanding the role of technological and organizational innovation
Full text linkIn today’s business environment, companies must acquire and apply corporate social responsibility (CSR)
knowledge to meet evolving market demands. Given its importance, further research is needed to understand the impact of developing these capabilities on performance, particularly the mechanisms through which this influence occurs. To address this gap, this study examines the concept of CSR absorptive capacity (CSR-ACAP) from a dual perspective, encompassing both potential and realized ACAP. We aim to assess the direct influence of CSR-ACAP on performance and to elucidate the role of organizational and technological innovation in this relationship. Using structural equation modeling on data from 107 Spanish agrifood firms, we found a direct link between both potential and realized CSR-ACAP and performance. Beyond the novelty of focusing ACAP analysis on CSR knowledge to demonstrate these relationships, this research reveals that firms that strengthen their CSR-ACAP are more likely to innovate, with both technological and organizational innovation serving as effective pathways for translating CSR knowledge into improved performance
Participación cívica digital en la era de la inteligencia artificial: Dilemas, transformaciones y horizontes
No full textPropone una lectura crítica de la participación cívica digital en contextos atravesados por la IA: del activismo en red a procesos institucionales online. Identifica beneficios (transparencia, cohesión social) y riesgos (exclusión, manipulación algorítmica) y plantea una agenda de IA cívica con transparencia y rendición de cuentas, combinando evidencias comparadas y enfoque de justicia social
Conventional response on employment and recruitment after the V AENC
Full text linkEl impulso que los distintos Acuerdos para el Empleo y la Negociación Colectiva han logrado a lo largo de su historia supone una manifestación importante en el desarrollo de la negociación colectiva fundamentada en un dialogo social bipartito. La materialización práctica de sus contenidos es, sin duda, el efecto más trascendente para evaluar sus resultados, en tanto la finalidad fundamental de su texto es alcanzar todos los niveles de negociación. Sobre la base de una amplia muestra de convenios colectivos se ha analizado la repercusión que, en materia de empleo y contratación, tiene el V AENC, detectando cuáles han sido los vectores incorporados y aquellos que se no ha sido asumidos mediante una evaluación detallada de sus repercusiones
Development of a culturally competent training curriculum for healthcare professionals to promote vaccination and tackle vaccine hesitancy: A Delphi study
Full text linkA B S T R A C T
Background: Addressing vaccine hesitancy is crucial, especially when considering cultural factors. This article
outlines the creation of a training curriculum model designed to equip healthcare professionals with the essential
knowledge, expertise, and cultural competency required to effectively promote vaccination and tackle vaccine
hesitancy.
Methods: A two-round Delphi Study with 23 experts from four European countries—Spain, Greece, Romania, and
Cyprus — and diverse backgrounds, based on predetermined criteria, was undertaken. The aim was to identify
key topics, through purposive sampling, ensuring diversity and representativeness within the participant group.
The process generated valuable insights and highlighted the significance of all statements in culturally sensitive
vaccination practices. Five statements from each module were chosen as the fundamental content of the curriculum.
These selections were based on mean scores, range, and median values.
Results: The curriculum model reflects the collective insights of experts, paving the way for improved vaccination
advocacy and community engagement. It encompasses four modules based on the Papadopoulos Tilki and Taylor
(PPT) model for cultural competence, each targeting specific learning objectives to enhance healthcare professionals’
abilities in advocating for vaccination and providing culturally appropriate care for population groups
in diverse cultural contexts.
Conclusion: The training curriculum model emphasizes intercultural communication, empowerment, and advocacy,
offering a holistic strategy for promoting vaccination acceptance. It is crucial for healthcare professionals to
possess the necessary knowledge, skills, and resources to effectively protect the health and welfare of communities.
This, in turn, contributes to the development of enduring, fair, and robust healthcare systems