Examinando por Autor "Cuadros Margarit, Jordi"

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    Learning analytics dashboards for assessing remote labs users' work: a case study with VISIR-DB
    (Springer Science and Business Media B.V., 2025-03) Serrano Molinero, Vanessa; Cuadros Margarit, Jordi; Fernández Ruano, Laura; García-Zubía, Javier; Hernández Jayo, Unai; Lluch, Francesc
    In science and engineering education, remote laboratories are designed to bring ubiquity to experimental scenarios, by having real laboratories operated through the Internet. Despite that remote laboratories enable the collection of students' work data, the educational use of these data is still underdeveloped. Learning analytics dashboards are common tools to present and analyze educational data to provide indicators to understand learning processes. This paper presents how data from remote labs, such as Virtual Instruments Systems In Reality (VISIR), can be analyzed through a learning analytics dashboard to help instructors provide better feedback to their pupils. Visualizations to study the use of the VISIR, to assess students’ performance in a particular activity and to facilitate the assisted assessment of students are introduced to the VISIR dashboard (VISIR-DB). These visualizations include a new recodification of circuits that keeps the fragment being measured, in order to better identify student’s intention. VISIR-DB also incorporates functions to check a priori steps in the resolution process and/or potential errors (observation items), and logical combinations of them to grade students' performance according to the expected outcomes (assessment milestones). Both work indicators, observation items and assessment milestones, can be defined in activity-specific text files and allow for checking the circuit as coded by the interface, the conceptual circuit it represents, its components, parameters, and measurement result. Main results in the use of VISIR for learning DC circuits course show that students mainly use VISIR when indicated by instructors and a great variability regarding to time of use and number of experiments performed. For the particular assessment activity, VISIR-DB helps to easily detect that there is a significant number of students that did not achieved any of the expected tasks. Additionally, it helps to identify students that still make a huge number of errors at the end of the course. Appropriate interventions can be taken from here
  • Miniatura
    Ítem
    Remote experiments for STEM education and engagement in rural schools: the case of project R3
    (Elsevier Ltd, 2023-11) Casado Mansilla, Diego ; García-Zubía, Javier ; Cuadros Margarit, Jordi ; Serrano Molinero, Vanessa ; Fadda, Daniela; Canivell Castillo, Verónica
    Rural schools tend not to have enough laboratory and experimentation equipment, which can be an obstacle that hinders student learning in Science, Technology, Engineering, and Mathematics (STEM) areas. Moreover, this loss of competencies can reduce their employment opportunities while society itself is deprived of that human capital. Remote laboratories have emerged as a way of countering the effects of insufficient investment in equipment or the inability to acquire the latter. By way of example, the goal of Project R3, which is presented in this article, is to reduce the absence or shortage of laboratories in the rural world via the use of remote experimentation. Specifically, this article presents the experience, the results, and the main conclusions of Project R3 during its first year of life. It is worth noting that Project R3 has been deployed not only in rural but also in urban environments, making it possible to compare learning results and satisfaction levels for students in both spheres and identify those experiments that provide the best learning experience and are most popular among pupils and teachers. The main objective is that from the local analysis (the Project has only been conducted in Spain) it might be possible to draw conclusions of a global nature that might be extrapolated to other countries in the European Union with similar socio-demographics. Initial results are in the direction of certifying that student achievement and satisfaction are higher in rural than in urban environments.