Resultados de investigación

Code-modulated visual evoked potentials (c-VEPs) are an innovative control signal utilized in brain-computer interfaces (BCIs) with promising performance. Prior studies on steady-state visual evoked potentials (SSVEPs) have indicated that the spatial frequency of checkerboard-like stimuli influences both performance and user experience. Spatial frequency refers to the dimensions of the individual squares comprising the visual stimulus, quantified in cycles (i.e., number of black-white squares pairs) per degree of visual angle. However, the specific effects of this parameter on c-VEP-based BCIs remained unexplored. In this dataset, a total of 16 healthy participants engaged in BCI spelling tasks using eight different conditions with varying spatial frequencies: C001 (0 c/°, 1×1 squares), C002 (0.15 c/°, 2×2 squares), C004 (0.3 c/°, 4×4 squares), C008 (0.6 c/°, 8×8 squares), C016 (1.2 c/°, 16×16 squares), C032 (2.4 c/°, 32×32 squares), C064 (4.79 c/°, 64×64 squares), and C128 (9.58 c/°, 128×128 squares). The system employed a binary m-sequence of 63 bits displayed at a 120 Hz rate using a black-background checkerboard (BB-CB) pattern; i.e. event “1” was encoded with a checkerboard pattern and “0” with a black flash. Each participant completed a single session that included a calibration phase consisting of 240 cycles (repetitions of the m-sequence), followed by an online spelling task of 18 trials (with 8 cycles per trial) for each condition. Online selections were made using a 3x3 command matrix (chance level of 11.11%)., Grupo de Ingeniería Biomédica, Departamento de Informática, Departamento de Teoría de la Señal y Comunicaciones e Ingeniería Telemática, TED2021-129915B-I00, RTC2019-007350-1, PID2020-115468RB-I00, and PID2021-127261OB-I00, Universidad de Málaga, Junta de Castilla y León, CIBER-BBN

Replication package for "A comparison of machine learning algorithms on design smell detection using balanced and imbalanced dataset: A study of God class"

Dataset prepared for "Prioritization of god class design smell: A multi-criteria based approach"

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