Teaching digital humanities at high school level

The incorporation of digital technology in educational environments was usually thought of from a didactic and/or pedagogical perspective. However, the digital transformation driven by smartphones, platforms and generative artificial intelligence showed that curricular and/or epistemological aspects had to be considered, such as the incorporation of programming and computational thinking in basic education. Within this line of research, it is particularly productive to inquire about the incorporation of digital humanities at the high school level. The objective of this work is to know through a first literature review, the implementation of educational experiences in the field of digital humanities at the high school level of articles from academic sources. In addition to present global and local initiatives of innovative aspects in digital education. The analysis addresses the description of the fields in which relevant cases of teaching experiences were found, the digital methods used as well as the emergence of new emerging curricular areas such as Digital Citizenship. The conclusions point out the areas of opportunity for the development of knowledge areas, topics, applications and didactic materials to continue the development of the teaching of humanistic or digital humanistic computational knowledge at the high school level

Factores clave en la enseñanza del audio para videojuegos: cómo abordar la convergencia entre lo técnico y lo artístico

La enseñanza y el aprendizaje del desarrollo de videojuegos enfrenta el reto de integrar disciplinas técnicas con procesos creativos y artísticos. Este desafío, presente en varias áreas del desarrollo de este medio, se ve especialmente marcado en los ámbitos visuales y sonoros, donde la inmersión y la narrativa dependen de la interacción entre la tecnología y la expresión artística. Este trabajo propone reflexionar sobre los factores clave para enfrentar estas tensiones en el aula, específicamente en la enseñanza del desarrollo de audio y música para videojuegos. A partir de la experiencia pedagógica en universidades, se identifican enfoques que facilitan la integración de lo técnico y lo artístico, destacando las estrategias más efectivas para lograr un entorno de aprendizaje colaborativo y creativo.The teaching and learning of video game development faces the challenge of integrating technical disciplines with creative and artistic processes. This challenge, present in various areas of this medium’s development, is particularly evident in the visual and auditory domains, where immersion and narrative depend on the interaction between technology and artistic expression. This paper proposes to reflect on the key factors for addressing these tensions in the classroom, specifically in the teaching of audio and music development for video games. Based on pedagogical experience in universities, approaches that facilitate the integration of technical and artistic elements are identified, highlighting the most effective strategies to achieve a collaborative and creative learning environment.O ensino e a aprendizagem do desenvolvimento de videogames enfrentam o desafio de integrar disciplinas técnicas com processos criativos e artísticos. Esse desafio, presente em várias áreas do desenvolvimento deste meio, é especialmente evidente nos âmbitos visual e sonoro, onde a imersão e a narrativa dependem da interação entre tecnologia e expressão artística. Este trabalho propõe refletir sobre os fatores-chave para enfrentar essas tensões na sala de aula, especificamente no ensino do desenvolvimento de áudio e música para videogames. A partir da experiência pedagógica em universidades, são identificadas abordagens que facilitam a integração do técnico e do artístico, destacando as estratégias mais eficazes para alcançar um ambiente de aprendizagem colaborativo e criativo

Shrub effect in semiarid Monte rangelands: Variation of arbuscular mycorrhizal fungi communities associated with different functional groups of plants

The presence of shrubs in semiarid rangelands has been associated with changes in the spatial distribution of soil resources. However, the relationships between woody species and arbuscular mycorrhizal fungi (AMF) remain unclear. This study investigated the influence of shrub cover on AMF communities and their associations with soil quality indicators. In spring 2017, five paddocks were selected in a semiarid Monte rangeland of Argentina. Two 10-m transects were established in each paddock: one in a shrub-dominated patch (Sh) and one in a shrub-free patch (WSh). Within each transect, sampling sites were categorized as grass-covered (Sh-G and WSh-G), bare ground-litter (Sh-BL and WSh-BL), or under shrubs (Sh-S). Composite soil samples (5 cores per site, 0–10 cm in depth) were collected within each site for AMF spore extraction and identification. Entrophosporaceae abun-dance was higher in Sh-BL than Sh-G and Sh-S sites. Glomeraceae abundance was lower in Sh-G and Sh-BL than in the same sites in WSh transects. Ruderal/rhizophilic AMF presented higher abundance in WSh-BL than in Sh-S and Sh-BL sites, while stress tolerant/ancestral AMF were more abundant in Sh-G than in WSh-G sites. Soil organic matter, its labile fraction, and cellulase activity correlated positively with the abundance of Ambis-poraceae and Pacisporaceae, but negatively with Entrophosporaceae. These results indicate that shrub species tend to favor the presence of stress tolerant/ancestral AMF over more generalist or ruderal/rhizophilic types commonly found in the soil nearby. These effects may be driven by increased organic fractions and microbial activity associated with the soil carbon cycle

Editorial Ludovica Pediatríca Vol 28 N° 1

Editorial volumen 28, número

Resultados preliminares sobre la validez de contenido basada en el juicio de expertos para una escala de observación del vínculo madre-bebé en lactantes con síndrome de Down

Introducción: El vínculo madre-lactante es el que se establece entre la madre y el bebé. Engloba a la comunicación y es el producto de un proceso comunicacional continuo. Para díadas sin dificultades en el desarrollo se utiliza la Escala de Observación del Vínculo Madre-Bebé. Dado que los lactantes con Síndrome de Down (SD) presentan mayores dificultades en el desarrollo, resulta necesario contar con instrumentos específicamente adaptados. El objetivo fue analizar la validez de contenido del perfil 1 de la escala mediante el juicio de expertos, para su uso en díadas madre-lactante con SD entre 0 y 8 meses. Material y métodos: Se realizó un estudio descriptivo con diseño mixto. Profesionales expertos con experiencia clínica evaluaron cada ítem de la escala según los criterios de suficiencia, claridad, coherencia y relevancia. Además, se recopilaron sugerencias cualitativas. El análisis cuantitativo incluyó el coeficiente V de Aiken por ítem y Kappa de Fleiss por criterio. Para los datos cualitativos se realizó el análisis temático de Braun y Clarke. El procesamiento estadístico se realizó con el software R versión 4.3.1 y SPSS versión 26. Resultados: Participaron 29 profesionales de diversas disciplinas. La mayoría de los ítems de la escala obtuvieron un V de Aiken ≥ 0,70 con significación (p < 0,05) para suficiencia, claridad, coherencia y relevancia, excepto la función sostén (V = 0,59; p = 0,229). El Kappa de Fleiss indicó concordancia leve en suficiencia (K = 0,19), moderado en claridad (K = 0,59) y sustancial en coherencia (K = 0,61) y relevancia (K = 0,70). El análisis temático identificó ajustes necesarios en todas las dimensiones, especialmente para la función sostén. Conclusión: El análisis de la validez de contenido basado en el juicio de expertos respalda la revisión y adaptación de la Escala de Observación del Vínculo Madre-Bebé para lactantes con Síndrome de Down.Introduction: The mother-infant bond refers to the relationship established between the mother and her baby. It encompasses communication and is the result of a continuous communicational process. The Mother-Infant Bond Observation Scale was originally designed for dyads without developmental difficulties. Given that infants with Down syndrome (DS) are at increased risk of developing conditions that may compromise their development, it is essential to have instruments specifically adapted to this population. The aim of this study was to analyze the content validity of profile 1 of the scale through expert judgment, for its use with mother-infant dyads with DS between 0 and 8 months. Materials and Methods: A descriptive study with a mixed-methods design was conducted. Professional experts with clinical experience evaluated each item of the scale according to the criteria of sufficiency, clarity, coherence, and relevance. Qualitative suggestions were also collected. Quantitative analysis included Aiken’s V coefficient per item and Fleiss’ Kappa per criterion. Qualitative data were analyzed using the thematic analysis approach by Braun and Clarke. Statistical processing was performed using R version 4.3.1 and SPSS version 26. Results: Twenty-nine professionals from various disciplines participated. Most items obtained Aiken’s V ≥ 0.70 with statistical significance (p < 0.05) for sufficiency, clarity, coherence, and relevance, except for the holding function (V = 0.59; p = 0.229). Fleiss’ Kappa indicated slight agreement for sufficiency (K = 0.19), moderate for clarity (K = 0.59), and substantial for coherence (K = 0.61) and relevance (K = 0.70). Thematic analysis identified necessary adjustments in all dimensions, particularly regarding the holding function. Conclusion: The analysis of content validity based on expert judgment supports the revision and adaptation of the Mother-Baby Bond Observation Scale for infants with Down syndrome

Dealing with Uncertainties in IT Solutions for Agriculture

Technology is essential for the improvement and efficiency of activities in the agricultural environment. Nevertheless, farmers and IT’s worlds are distant. Usually, IT services fail to provide the correct solution and farmers are reluctant to incorporate new IT advances. IT teams need to acquire agricultural knowledge and language in order to communicate, to reduce the distance, and cooperate. Nevertheless, during this process and particularly, in agriculture, there are many uncertainties. If they are not clearified, it will not be possible to provide the right IT solution. These un-certainties are translated as a lack of precision in the requirements specifica-tions. Sometimes, it is as easy as elicit more information from the stake-holders to improve the specification. In some other situations, the stakeholders have different points of view and they need to reach a concen-sus. These uncertainties are hard to identify. IT teams and farmers must speak the same technical and specific language and the IT team needs a complete and exhaustive specification about how software applications must react. Agriculture is a biological environment with many rules and de-cisions that are not easy to make explicit. Therefore, it is important to in-volve a group of farmers as with complementary and different point of view. Thus, this article proposes an approach to deal with uncertainties in order to provide the unambiguous and complete specification. The approach relies on capturing knowledge through scenarios. It consists of three main steps to obtain the scenarios: (i) a collaborative knowledge acquisition, (ii) scenarios description and analysis, and (iii) group decision support

Acta n° 1630

Contiene los siguientes anexos: - Anexos I - II - III: Convocatoria 2025 -Becas de Entrenamiento para alumnos/as universitarios/as 2026 (BENTRE26): bases y condiciones, formularios de solicitud, grillas de evaluación - Anexos IV - V: Convocatoria 2024 – Concurso de ingreso a Carrera de Personal de Apoyo a la Investigación y Desarrollo 2025 (CICPA25): admitidas y no admitidas - Anexo VI: Convenio Marco de Cooperación suscripto entre la Universidad Tecnológica Nacional UTN y la CIC - Anexo VII: Memorándum de Entendimiento entre la Comisión de Investigaciones Científicas de la Provincia de Buenos Aires (Argentina) y el Laboratorio de Exploración del Espacio Profundo para colaborar en proyectos de la Estación Internacional de Investigaciones Lunares (ILRS) - Anexo VIII- IX - X - XI - XII - XIII - XIV: Informes de Gestión 2024 - Plan de acciones 2025 de los Centros Propios de la CIC (IG24+PA25_CPCIC) presentados por la Dirección Provincial de Vinculación y Transferencias. Los IG24+PA25_CPCIC CEMECA, CEREN, CESGI, CPP (Informe Anual 2024), LAL, LEMIT y LINTA - Anexo XV: Concursos para cubrir cargos de Directores/as de Centros Propios CIC: modificar Reglamento de Concurso - Anexo XVI: Reglamento de Funcionamiento Interno de Comisiones Asesoras Honorarias y Junta de Calificaciones de la CIC - Anexo XVII: Lineamientos de pautas para la evaluación de ingreso y promoción de Carrera de Investigador/a CICINV

Acta nº 1626

Contiene el siguiente anexo: Anexo I: Calendario de Convocatorias DPGSYDACCIC 2025: modificación de la fecha de Convocatoria IP 25-26

What the Semantic Web can do for Cognitive Digital Twins: Challenges and Opportunities

The Cognitive Digital Twin (CDT) is an advanced version of the Digital Twin model. It integrates cognitive computing technologies to create systems that not only connect but also reason, learn from past experiences, and make informed decisions. Integrating machine learning algorithms and artificial intelligence allows CDTs to process and interpret data. This cognitive capability enables the digital twin to function with a layer of intelligence that mimics human cognitive abilities, making the system adaptable to its environment and capable of handling complex decision-making processes autonomously. The cognitive features of CDTs are crucial as they enable the system to predict future states, identify potential problems before they occur, and suggest mitigating actions. Furthermore, semantic web technologies can facilitate advanced analytics and machine learning within CDTs. This article offers a rapid analysis of how Semantic Web approaches can support several aspects of CDT models

Evaluating Information Extraction Approaches in the Construction of a Real Estate Observatory

A real estate observatory plays a significant role in the aggregation and analysis of real estate market data. The information that lies in real estate advertisements can be leveraged to populate such an observatory. However, this data can present itself in both a structured and an unstructured manner. Unstructured data represents a problem to automatically process and extract information since it lacks a predefined structure. Thus, there’s a need for techniques to give structure to unstructured data. Information Extraction (IE) is the process of structuring data from unstructured data. Natural Language Processing techniques enable machines to understand texts, making them particularly significant in the context of IE. This work evaluates both rule-based and machine-learning based IE approaches to extract features from real estate descriptions within advertisements. Those features are relevant in the context of real estate observatory construction. The performance of each approach is measured using precision, recall and f1-score metrics