Resultados de investigación

Recent developments in educational technology research underscores the importance of individuals and groups to regulate their own learning processes and behaviours to cope with the fast-changing world around them. This led many researchers to focus on the concept of Socially-Shared Regulation of Learning (SSRL) which tries to understand the different types of collective regulatory processes that emerge while learning in groups. Although initial investigations have predominantly theorised these phenomena, there is a growing need to operationalize SSRL to prepare learners for a future in which regulation of their learning is a key skill for success. This necessitates systematic examination of how Learning Design (LD) and Learning Analytics (LA) can be leveraged to promote, detect, and support SSRL. Therefore, this paper presents a systematic literature review of 110 empirical studies with the aim of identifying: (i) what does empirical literature consider as SSRL; (ii) how is LD used to promote SSRL; (iii) how are LA and LD used to detect SSRL; and (iv) how are LD and LA used to support SSRL. The findings from the literature indicate three major challenges to the operationalization of SSRL support in the real-world: (i) the lack of convergence in theoretical models, together with the lack of validated instruments for detecting (e.g., coding schemes) and measuring (e.g., questionnaires) SSRL processes; (ii) the types of data most frequently collected and the analysis techniques used make it difficult to provide SSRL support to the students during the learning situations; and (iii) there is a lack of tools designed to promote, detect, and support SSRL processes. This paper describes each challenge, and provides a discussion about potential future research opportunities for tackling them., Dpto. Teoría de la Señal y Comunicaciones e Ingeniería Telemática, ETSI Telecomunicación, Universidad de Valladolid, Dpto. de Informática, ETSI Informática, Universidad de Valladolid, UCL Knowledge Lab, University College London, United Kingdom, This research is partially funded by the MICIU/AEI/10.13039/501100011033 and by ERDF, EU, under project grants PID2020-112584RB-C32 and PID2023-146692OB-C32. It has also been supported by the Regional Government of Castile and Leon and by FEDER, under project grant VA176P23. Moreover, it has been partially supported by the Teacher-AI Complementarity (TaiCo) project funded by the European Commission’s Horizon Programme under the HORIZONCL2-2024-TRANSFORMATIONS-01 call with the Project ID:101177268.

This dataset contains survey results from 630 students across four European universities (France, Italy, Portugal, and Spain) as part of the Erasmus+ OpenPass4Climate project. The survey assesses students' attitudes toward climate change, environmental values, sense of personal responsibility, perceptions of social norms, participation in eco-pedagogical activities, learning preferences, and awareness of open badge systems. Data include demographic variables (age, gender, educational level, country) and Likert scale (1-5) responses to 20 questions structured across seven constructs: climate change views, environmental values and identity, personal responsibility and emotional responses, social norms, eco-pedagogical activities, learning interests and training preferences, and open badges system awareness. Statistical analysis was conducted using non-parametric tests (Kruskal-Wallis and Conover-Iman) due to violations of normality assumptions., Este conjunto de datos contiene los resultados de una encuesta realizada a 630 estudiantes de cuatro universidades europeas (Francia, Italia, Portugal y España) como parte del proyecto Erasmus+ OpenPass4Climate. La encuesta evalúa las actitudes de los estudiantes hacia el cambio climático, sus valores ambientales, sentido de responsabilidad personal, percepciones de normas sociales, participación en actividades eco-pedagógicas, preferencias de aprendizaje y conocimiento de sistemas de insignias abiertas. Los datos incluyen variables demográficas (edad, género, nivel educativo, país) y respuestas en escala Likert (1-5) a 20 preguntas estructuradas en siete constructos: visiones sobre el cambio climático, valores e identidad ambiental, responsabilidad personal y respuestas emocionales, normas sociales, actividades eco-pedagógicas, intereses de aprendizaje y preferencias de formación, y conocimiento del sistema de insignias abiertas. El análisis estadístico se realizó mediante pruebas no paramétricas (Kruskal-Wallis y Conover-Iman) debido a violaciones de los supuestos de normalidad., GIR Tecnologías Avanzadas Aplicadas al Desarrollo Rural Sostenible (TADRUS), Data (raw and filtered), Summary (basic statistics by country, age, education level), Reliability analysis (Cronbach’s alpha), Normality tests, Kruskal-Wallis analysis (by age, gender, education level, and country)., European Commission (Erasmus+ Programme)

Encuesta y Dataset del mismo. Trabajo realizado sobre estudiantes universitarios del Campus de Valladolid

Spin wave propagation along a ferrimagnetic strip with out-of-plane magnetization is studied by means of micromagnetic simulations. The ferrimagnetic material is considered to be formed by two antiferromagnetically coupled sub-lattices. Two critical temperatures can be defined for such systems: that of magnetization compensation and that of angular momentum compensation, both different due to distinct Landé factors for each sub-lattice. Spin waves in the strip are excited by a spin current injected at one of its edges. The obtained dispersion diagrams show exchange-dominated forward volume spin waves. For a given excitation frequency, the Néel vector describes highly eccentric orbits, the eccentricity depending on temperature, whose semi-major axis is oriented differently at distinct locations on the FiM strip., GIR Materiales Magnéticos, SA114P20 from Junta de Castilla y León, PID2020117024GB-C41 funded by MCIN/AEI/10.13039/501100011033, Project MagnEFi, Grant Agreement No. 860060, (H2020-MSCA-ITN-2019) funded by the European Commission

Este conjunto de anexos complementa la tesis doctoral titulada Análisis prosódico y de sentimientos en doblaje mediante redes neuronales de lenguaje natural: el caso del redoblaje italiano de la serie The Big Bang Theory (2007–2019). Reúne materiales elaborados en el marco del análisis de seis episodios de la segunda temporada de la serie, incluyendo transcripciones bilingües, retrotraducciones, análisis de sentimientos (polaridad y subjetividad), gráficos comparativos, estadísticas descriptivas y correlaciones acústico-emocionales. También contiene datos prosódicos (tono, intensidad, formantes F1 y F2) de tres actores (original y doblaje italiano), así como modelos de regresión vinculados a la modulación vocal.

Dataset for the construction of synthetic indicators of the Creative Economy in European countries., Departamento de Economía Aplicada

This database contains international articles that refer to research processes that employ the Design-Based Research methodological approach in the field of Higher Education between 2019 and 2023. These articles have been analyzed to conduct a systematic review of their content., Pedagogía, Generalitat Valenciana

The dataset compiled in this spreadsheet contains the experimental data used for the development and analysis presented in the associated research paper, regarding the evaluation of bioreactors performance and activity tests. The corpus includes measurements and observations obtained from two experimental setups aimed at investigating syngas biomethanation and the involved metabolic pathways: the continuous bioreactor experiments and batch activity tests in serum bottles. - Bioreactor Experimental Data [Inoculum, BCB1 and BCB2] This section documents the operation of two lab-scale bioreactors for syngas biomethanation under different operational conditions. The dataset includes: - Inoculum characterization - Sampling dates and experimental timepoints - Reactor operating conditions - Inlet and outlet gas compositions (H₂, CO, CO₂, CH₄, O₂, N₂) - TOC/TN evolution - TS/VS evolution - VFAs concentration measurements - pH evolution - Serum Bottle Activity Tests [M. activity tests, T. activity tests and Activity tests summary] This section contains the results of batch tests conducted in sealed serum bottles to evaluate the metabolic activity of microbial cultures under varying substrates addition. The dataset includes: - Assay type (regarding substrates employed) - Initial and final pH measurements - Headspace pressure measurements - Headspace gas measurements (CO, H₂, CO₂, CH₄, O₂, N₂) - Incubation temperture conditions - VFAs concentration measurements - Calculated product yields The data provided insight into microbial activity under the addition of different substrates and were used to evaluate and identify the metabolic pathways involved in the developed syngas biomethanation process., Institute of Sustainable Processes (ISP), Department of Chemical Engineering and Environmental Technology, Spanish Ministry of Science and Innovation (PLEC2022-009349 and PID2021-124347OB-I00)., Regional Government of Castilla y León (JCyL) and the FEDER program (UIC379 and UIC393).

Social exclusion is one of the greatest challenges facing today's societies and especially the group under study. This type of exclusion goes beyond poverty, to the extent that it can be considered as a kind of social and individual catastrophe, since this phenomenon of social exclusion causes damage of great impact on the people affected and on their environment. After all, social exclusion is a set of factors that prevent well-being, the full enjoyment of life and increases unhappiness. In this work, agent-based simulation will be used. These tools allow us to study social systems where inequality emerges from local interactions, avoiding homogeneity assumptions typical of statistical models. Our research uses these models to study the processes of social exclusion in people with deafblindness and to search for elements that help us to understand some element of this social phenomenon. In our research, we find the relevance of institutionalisation in the phenomenon of exclusion of this group, the importance of critical thresholds in this exclusion process, biopolitics as an operative social mechanism that fosters structural vulnerability and intersectionality. These elements establish a plausible explanatory framework that allows a better understanding of the phenomenon of social exclusion in people with deafblindness.

This dataset is the result of the research carried out by Silvia Sánchez Calderón (UNED) and Raquel Fernández Fuertes (UVa) in the frame of the Research Group UVALAL (University of Valladolid Language Acquisition Lab, https://uvalal.uva.es/) whose Principal Investigator is Raquel Fernández Fuertes. In this project, the research is conducted on the second language (L2) acquisition of English Dative Alternation (DA) constructions by adult learners whose first language (L1) is Spanish. The results are compared to a control group of L1 English adults. An Acceptability Judgment Task (AJT) was designed for both groups to address grammaticality, sentence structure and word order of the two English DA structures. The two DA structures under analysis involve, on the one hand, prepositional to-datives that alternate as Double Object Constructions (DOCs) (1) and, on the other hand, prepositional for-datives that alternate as DOCs (2). The main aim of this project is to explore the role played by the L2 English learners' L1 in their sensitivity towards the two syntactic variants, with a particular emphasis on the potential crosslinguistic influence effects (or lack thereof) from Spanish into English and the Universal Grammar (UG) effect on their acquisition., UVALAL, 1. GENERAL INFORMATION 1.1. Title of dataset 1.2. Author information 1.2.1. PI and co-PI 1.2.2. Lab 1.2.3 People involved in the data collection and the tasks design 1.3. Objectives 1.4. Funding sources 1.5. Citing information 2. ACCESS INFORMATION 2.1. Licenses or restrictions 2.2. Publications 3. METHODOLOGICAL INFORMATION 3.1. The participants 3.2. The experimental task: an Acceptability Judgment Task 3.3. Data extraction procedure 3.4. Data classification procedure: variables 4. DATA 4.1. Database 4.2. Last update 5. RELATED DATASETS, Spanish Ministry of Science, Innovation and Universities and European Regional Development Fund (ERDF) [PGC2018-097693-B-I00],, Regional Government of Castile and León (Spain) and ERDF [VA009P17]