Resultados de investigación

Dataset asociado a la publicación VR in chemistry, a review of scientific research on advanced atomic/molecular visualization, Análisis de la visualización atómica/molecular para la visión humana generada mediante un software que reproduce una realidad 3D en una pantalla 2D y en dispositivos estereoscópicos, Proyecto vinculado: Gamificación y aprendizaje ubicuo en Educación Primaria. Elaboración de un mapa de competencias y recursos docentes, discentes y parentales (GAUBI) Proyecto I+D+I (RTI2018-099764-B-100) (MICINN/FEDER), financiado por el Fondo Europeo de Desarrollo Regional (FEDER) y Ministerio de Ciencia, Innovación y Universidades de España

Esta investigación de carácter naturalista, obtiene datos del impacto de un proyecto basado en el empleo de juegos serios para la mejora de la competencia en comunicación lingüística del alumnado en situación de desventaja socieducativa

Data from the article "F. Ortin, J. Quiroga, O. Rodriguez-Prieto, M. Garcia. An empirical evaluation of Lex/Yacc and ANTLR parser generation tools. PLOS ONE 17(3), pp. 1-16, 2022. https://doi.org/10.1371/journal.pone.0264326", Parsers are used in different software development scenarios such as compiler construction, data format processing, machine-level translation, and natural language processing. Due to the widespread usage of parsers, there exist different tools aimed at automizing their generation. Two of the most common parser generation tools are the classic Lex/Yacc and ANTLR. Even though ANTLR provides more advanced features, Lex/Yacc is still the preferred choice in many university courses. There exist different qualitative comparisons of the features provided by both approaches, but no study evaluates empirical features such as language implementor productivity and tool simplicity, intuitiveness, and maintainability. In this article, we present such an empirical study by conducting an experiment with undergraduate students of a Software Engineering degree. Two random groups of students implement the same language using a different parser generator, and we statistically compare their performance with different measures. Under the context of the academic study conducted, ANTLR has shown significant differences for most of the empirical features measured., This work has been partially funded by the Spanish Department of Science, Innovation, and Universities: project RTI2018-099235-B-I00. The authors have also received funds from the University of Oviedo through its support of official research groups (GR-2011-0040).

The authors wish to thank the financial support of the Spanish Ministry of Economy, Industry and Competitiveness for the R + D Project entitled “Development and Construction of Vertical Axis Wind Turbines for Urban Environments” (DEVTURB) – Ref. ENE2017-89965-P, under the National Plan for Scientific and Technical Research and Innovation. The grant provided by the Principality of Asturias for the support of Research Activities, funded by the Institute for Economic Development (IDEPA) under reference GRUPIN IDI/2018/000205 is also gratefully acknowledged. Additionally, the support given by the University Institute for Industrial Technology of Asturias (IUTA) and the City Hall of Gijon, through the financed project SV-18-GIJON-1-05, is also recognized.

Spanish Ministry of Economy and Competitiveness (MINECO), Spanish Ministry of Science and Innovation (MICINN) respectively and Asturias Regional Government.

Data from the article "M. Garcia, F. Ortin, J. Quiroga. An Infrastructure to Deliver Synchronous Remote Programming Labs. Transactions on Learning Technologies, Volume 14(2), pp. 161-172, 2021. https://doi.org/10.1109/TLT.2021.3063298", With the abrupt nationwide lockdown caused by the COVID-19 pandemic, many universities suspended face-to-face activities. Some of them decided to continue their academic courses, adapting traditional approaches to online learning. An important challenge was to deliver programming labs over the Internet without important methodological changes, which might imply modifications of the learning outcomes. Most of the existing approaches to remote programming labs are based on asynchronous learning, where students work autonomously and contact the lecturers if they have any issues. The existing systems to provide synchronous programming labs are restricted to a single programming language or application type, and show significant interaction limitations. Therefore, we defined an infrastructure that allowed us to deliver synchronous programming labs over the Internet during the COVID-19 lockdown, as we used to do face-to-face. After using it for both programming labs and exams, students showed a high level of satisfaction. Compared to previous years, the use of our system produced no statistically significant difference in student's grades, pass and fail rates, or the number of students taking the lab exam. The network bandwidth, CPU, and memory resources consumed are sufficiently low to have allowed all the students to use it without any issues. Regardless of the pedagogical and methodological approach selected, our infrastructure provides the synchronous and remote delivery of programming labs, similar to the original face-to-face approach. Its features make it appropriate to deliver synchronous remote classes where strong lecturer-student interaction is required, and all the student work can be done with their computers., This work has been partially funded by the Spanish Department of Science, Innovation and Universities: project RTI2018-099235-B-I00. The authors have also received funds from the University of Oviedo through its support of official research groups (GR-2011-0040).

This dataset contains benchmark problem instances of "Vehicle Routing Problem with Zone-Based Pricing" published in Transportation Research Part E: Logistics and Transportation Review in 2021. It includes the instances in txt format along with a readme file explaining the fields., This work was supported by the Spanish Government [Grant Nos. TIN2016-79190-R, PID2019-106263RB-I00]; and the Principality of Asturias Government [Grant No. IDI/2018/000176].