Resultados de investigación

Hugo Chavez dominated the Venezuelan electoral landscape since his first presidential victory in 1998 until his death in 2013. Nobody doubts that he always received considerable voter support in the numerous elections held during his mandate. However, the integrity of the electoral system has come into question since the 2004 Presidential Recall Referendum. From then on, different sectors of society have systematically alleged electoral irregularities or biases in favor of the incumbent party. We have carried out a thorough forensic analysis of the national-level Venezuelan electoral processes held during the 1998-2012 period to assess these complaints. The second-digit Benford's law and two statistical models of vote distributions, recently introduced in the literature, are reviewed and used in our case study. In addition, we discuss a new method to detect irregular variations in the electoral roll. The outputs obtained from these election forensic tools are examined taking into account the substantive context of the elections and referenda under study. Thus, we reach two main conclusions. Firstly, all the tools uncover anomalous statistical patterns, which are consistent with election fraud from 2004 onwards. Although our results are not a concluding proof of fraud, they signal the Recall Referendum as a turning point in the integrity of the Venezuelan elections. Secondly, our analysis calls into question the reliability of the electoral register since 2004. In particular, we found irregular variations in the electoral roll that were decisive in winning the 50% majority in the 2004 Referendum and in the 2012 Presidential Elections

El objetivo de esta investigación es analizar la influencia el modelo pedagógico digital (colaborativo, social e independiente) en la experiencia de aprendizaje. La pregunta de investigación es: ¿Cómo influye el modelo pedagógico digital en la experiencia de aprendizaje? Este estudio se realizó en cuatro asignaturas, de Grado y máster oficial, en las cuales, dentro del Proyecto Metodologías basadas en el aprendizaje conectado, activo y colaborativo durante el curso académico 2019-20, se pusieron en marcha distintos modelos de aprendizaje con el objetivo de formar a futuros profesionales de la educación. Los tres modelos pedagógicos digitales evaluados en este estudio son el modelo de aprendizaje colaborativo, el modelo social y el modelo independiente (o autónomo) de aprendizaje. El estudio se llevó a cabo con una muestra de 176 futuros profesionales de la educación (educadores sociales, pedagogos y profesorado de secundaria), estudiantes de cuatro asignaturas (dos de Grado y dos de Posgrado) en las que se aplican distintos modelos pedagógicos digitales: colaborativo, social-participativo e independiente o autónomo. La base de datos se compone de los resultados y del análisis de las respuestas del alumnado a un cuestionario ad hoc de evaluación del proceso de aprendizaje, de tipo Likert, que incluye 9 preguntas abiertas y 20 cerradas. Las variables analizadas fueron: aspectos generales de calidad, utilidad de la asignatura, percepción del proceso de aprendizaje y adquisición de conocimientos, trabajo colaborativo, y afiliación y cohesión grupal.

This dataset corresponds to the article titled 'Creation and Evaluation of an AI Assistant (GPT) for Educational Experience Design' In this work, an assistant created through ChatGPT was validated by designing various scenarios and tests for each of them. This dataset includes the conversations with the AI Assistant for each of the tests. The emergence of Generative Artificial Intelligence has revolutionized our lives and presents numerous opportunities in education; however, specific digital competencies are essential to maximize the potential of this technology. Prompt engineering proficiency represents a signifi-cant barrier to achieving optimal outcomes. In response, various solutions are being developed utilizing custom GPTs available through OpenAI's ChatGPT platform. This study presents the validation of 'GamifIcA Edu', a specialized GPT-based assistant for gamification and serious games, designed to enable educators to implement these pedagogical approaches without re-quiring advanced prompt engineering expertise, through pre-designed instructional frameworks. The assistant's effectiveness was evaluated using a comprehensive rubric across five distinct use-case scenarios, with each scenario subjected to four different tests representing varied learning contexts across multiple academic disciplines. The validation methodology employed systematic assessment of the assistant's performance in different educational settings. The find-ings demonstrate the successful implementation of the custom-designed GPT, which generated contextually appropriate responses through natural language interactions, eliminating the need for complex prompt structures. This research highlights the potential of instruction-based design in developing AI assistants that enable users with limited prompt engineering knowledge to achieve expert-level outcomes. These results have significant implications for the democratization of AI-enhanced educational tools.

The dataset has the results of the vibration tests and the thermal vacuum cycling tests of the engineering qualification model of E.T.PACK-F.

This dataset contains the data related to the article "Are Remote Educational Escape Rooms Designed During the Pandemic Useful in a Postpandemic Face-to-Face Setting?" with DOI 10.1109/MIC.2023.3336057. This dataset contains data of 241 software engineering students, 140 of which belonged to the group A (who perfomed a remote escape room) while the other 101 were part of the group B (who performed a face to face escape room). All data was anonymized so that the identity of the participants cannot be ascertained. The aforementioned article can be openly accessed at https://doi.org/10.1109/MIC.2023.3336057.

Coal prices in Uruguay and New Zealand (1890-1911) and coal price composition in Uruguay (1887-1913) reconstructed from primary sources.

This dataset includes responses from 545 distance-learning university students who participated in a study analyzing the relationship between perfectionism and academic engagement, and the mediating role of passion. The dataset contains scores from validated questionnaires measuring Academic Engagement, Perfectionism (self-oriented and socially prescribed), and Passion (harmonious and obsessive), along with sociodemographic data such as age, gender, university affiliation, and field of study. The study employed a quasi-experimental design and mediation analyses using Partial Least Squares (PLS) with SmartPLS software.

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DESCRIPTION

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1. Dataset description

Multi-view Leap2 Hand Pose Dataset (ML2HP Dataset) is a new dataset for hand pose recognition, captured using a multi-view recording setup with two Leap Motion Controller 2 devices. This dataset encompasses a diverse range of hand poses, recorded from different angles to ensure comprehensive coverage. The dataset includes real images with the associated precise and automatic hand properties, such as landmark coordinates, velocities, orientations, and finger widths. This dataset has been meticulously designed and curated to maintain a balance in terms of subjects, hand poses, and the usage of right or left hand, ensuring fairness and parity. The content includes 714,000 instances of 17 different hand poses (including real images and 247 associated hand properties). These examples have been recorded from 21 subjects. The multi-view setup is necessary to mitigate hand occlusion phenomena, ensuring continuous tracking and pose estimation required in real human-computer interaction applications like virtual reality gaming. Overall, this dataset contributes to advancing the field of multimodal hand pose recognition by providing researchers with a valuable resource for developing advanced human computer interfaces based on machine learning algorithms.

2. Dataset content

The ML2HP Dataset is meticulously organized into a hierarchical file structure to facilitate easy access and retrieval of specific instances for analysis. At the top level, there is a folder for each subject, identified by integer numbers (e.g., “001”, “002”). Within each subject folder, there are subfolders representing the hand used, designated as “Right_Hand” and “Left_hand”. Inside each hand folder, further subfolders are categorized by hand pose class, named according to the specific hand pose (e.g., “OpenPalm”, “ClosedFist”, etc). Each pose class folder contains two additional subfolders corresponding to the recording devices: “Horizontal” for the camera placed horizontally and “Vertical” for the camera placed vertically. In addition, at the top level, there is a “subjects_info.csv” file that includes the information of age and gender for each subject identifier.

- The subjects_info.csv file contains information of age and gender for each subject identifier.

- Each hand_properties.csv contains the 247 hand properties (such as landmark coordinates, velocities, orientations, and finger widths) from a specific subject, hand, pose and device.

- Each .bmp contains an image from a specific subject, hand, pose and device.

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METHODOLOGY

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1. Methodology and data acquisition protocol

Before recording the data, each participant received detailed information about the data collection protocol and voluntarily provided informed consent, including their agreement to have the data published, by signing a consent form prior to their inclusion in the research study. During the data collection process, participants were instructed to perform various hand poses while facing either one of the cameras, the other camera, or positioned diagonally between both. Additionally, participants were prompted to move their hands through the entire view range of the cameras, ensuring comprehensive coverage of hand poses from different angles, perspectives, and distances. This approach enabled the capture of a diverse range of hand configuration instances.

Participants were asked to perform each hand pose repeatedly until enough instances were recorded for each class and hand (right and left). The protocol involved initially recording instances of right-hand poses from all classes, repeating the process for left-hand poses. This systematic approach ensured comprehensive coverage of both right- and left-hand configurations across all classes, facilitating a balanced and representative dataset.

A data curation process was performed after the data collection to synchronize and balance the available data.

Bases de datos en el software SPSS de un experimento de testeo de la eficacia de una campaña de comunicación estratégica sobre el cáncer de piel en jóvenes universitarios.

This file is a supplementary material of the paper "Optimal curtailment of non-synchronous renewable generation in the island of Tenerife considering steady state and transient stability constraints". It contains a transient stability-constrained optimal power flow model written in GAMS. The model represents the IEEE 39 Bus Test System with the addition of ten non-synchronous generators connected at different buses. To execute the file, open it in GAMS or type "gams tscopf_nonsyn.gms" from the command line.