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L’ús de la tecnologia en el rendiment educatiu: evidència a partir de PISA 2021
Els darrers resultats de PISA han mostrat una forta davallada de les competències dels nens i nenes de 15 anys a la major part de països de la OCDE, tant a matemàtiques com a ciències i comprensió lectora. Aquest fet, ha posat en alerta a les autoritats educatives, que estan emprenent diferents tipus de reformes i posant en marxa diferents programes per tal de millorar els resultats educatius en els seus respectius països. Una qüestió en la qual els experts no acaben de posar-se d’acord és en relació a l’ús de noves tecnologies en la docència. L’evidència existent sobre aquesta qüestió no és del tot concloent, de manera que mentre alguns estudis mostren un impacte positiu en els resultats acadèmics i altres mostren un impacte negatiu (Tamim et al., 2011; Chauhan, 2017; Caroline et al., 2020). Aquesta evidència mostra que el seu impacte depèn del temps d’ús de les tecnologies i el tipus d’ús, sense que els resultats siguin concloents. L’objectiu d’aquest treball és estudiar aquesta qüestió en major detall, mirant de distingir els efectes de les noves tecnologies en els resultats educatius en funció de l’ús que se’n fa de les mateixes. Especialment, es pretén distingir entre l’efecte de la docència en noves tecnologies de l’efecte d’utilitzar les noves tecnologies en l’aprenentatge de les diferents matèries.
Per dur a terme l’anàlisi, aquest es basarà en les dades PISA 2021 i es durà a terme una anàlisi de regressió multinivell que relacioni els resultats en les competències de matemàtiques, ciències i comprensió lectora amb diferents variables de l’ús de la tecnologia a l’aula, docència en noves tecnologies i controlant per variables a nivell individual, classe i centre. Així, es pretén realitzar l’anàlisi a nivell espanyol i, si la mostra ho permet, a nivell català, permetent fent una anàlisi comparativa entre els dos. Els resultats d’aquest estudi permetran aportar més evidència de com gestionar l’ús de les tecnologies a les aules per tal de potenciar l’aprenentatge de l’alumnat
ChatGPT is not unique. State of the art of SME-oriented LLMs and their competitiveness improvement
In recent years, advancements in artificial intelligence, particularly in large language models (LLMs), have revolutionised multiple sectors, distinguished by their ability to process and generate text with high coherence and relevance. However, their implementation has predominantly been focused on large corporations due to cost barriers and technological complexity. This article examines the current state and potential of LLMs oriented towards small and medium-sized enterprises (SMEs), offering insights on how these models can be integrated into SMEs to enhance efficiency, innovation, and decision-making.
Focusing on the description of LLMs and recent advancements that reduce their cost and implementation complexity, use cases for SMEs are explored, demonstrating how adopting LLMs can significantly reduce the time and resources these organisations invest.
The article concludes with practical recommendations for SMEs adopting LLM technologies, emphasising the importance of a strategic and conscious approach. This work provides a comprehensive view of the value that LLMs can offer SMEs. It establishes a framework for future research and developments, encouraging SMEs to participate actively in AI-driven digital transformation
Creation and consolidation of a scientific-technological innovation cluster: The Case of Secpho
The Secpho innovation cluster, created in 2009, has emerged as a successful model of technological aggregation beyond sectoral and geographical borders. Since its founding, Secpho has overcome significant challenges associated with its non-sector nature and geographical dispersion, establishing itself as a prestigious player in the technological innovation ecosystem of southern Europe. This document analyzes the strategic evolution of Secpho from 2009 to 2023, highlighting how it has managed to adapt and prosper through a deep understanding of the reality of science and technology in the Iberian Peninsula and its ability to provide value to its members, which include companies , R&D centers and public administrations.
Initially focused on photonics as an enabling technology, Secpho has evolved to embrace a broader spectrum of deep tech technologies, applicable in various industrial sectors. This article details the growth phases of the cluster, from its incipient structuring to its maturation and evolution towards a supercluster, incorporating innovation through workshops, promoting collaborative projects and establishing an effective governance model that has been key to its success. The transition towards a more market-oriented and less exclusively science-focused approach has allowed Secpho to not only survive but thrive, demonstrating the viability of innovation clusters in a context of global technological and economic change.
This analysis not only underlines the importance of adapting to the dynamics of technological change but also highlights how clusters can be crucial in facilitating digital and technological transformation, offering valuable lessons for other similar ecosystems in Europe.
This abstract summarizes the key points of the development and evolution of Secpho, and adapts to the focus of the thematic axis of the Congress on the science and innovation system and the challenge of digital transformatio
Evaluation of Innovation Impact and Technology Transfer in the ConSOLI+Da Project
One of the most significant challenges facing society today is the need to develop clean energy at reasonable costs, thus ensuring sustainable development to mitigate the effects of climate change. Additionally, in the case of Europe and Spain, it is important to ensure that these new energies utilize domestic resources to avoid the current dependency on foreign sources.
Concentrated Solar Power (CSP) technology represents a major opportunity to develop clean energy at competitive costs, thereby reducing dependence on external sources. Furthermore, CSP technology easily integrates into the electrical grid and can be stored. Specifically in electricity generation, solar thermal energy can make a decisive contribution to achieving the objectives of the EU energy policy strategy and combating climate change.
From 2009 to 2012, the ConSOLI+Da project was a CENIT grant funded by the CDTI (Centre for the Development of Industrial Technology in Spain). This CDTI grant aimed to stimulate public-private cooperation in industrial research projects of large-scale consortia with high scientific and technical scope. Its mission was to generate new knowledge that could be useful for creating new products, processes, or services, or for integrating technologies of strategic interest.
The main objective of the "Consortium for R&D Solar" (ConSOLI+Da) project was to create an R&D infrastructure to consolidate Spain's leadership in concentrated solar thermal energy technologies. Thanks to this funding, research received a boost, allowing the technology to reach the market sooner, thus enabling Spanish companies to position themselves more competitively in Europe and globally.
This study aims to evaluate the impact of the ConSOLI+Da project, analyzing its significance for the different stakeholders involved in the development of concentrated solar thermal energy technology. To assess the impact, various key performance indicators (KPIs) are being analyzed, such as the total number of scientific articles generated, job creation, and new products generated. Another KPI analyzed is the patents generated, and thanks to this project, 197 patents were generated, with 9 in collaboration among different partners and 67 after its completion
Two iterative methods for sizing pipe diameters in gas distribution networks with loops
Closed-loop pipe systems allow the possibility of the flow of gas from both directions across each route, ensuring supply continuity in the event of a failure at one point, but their main shortcoming is in the necessity to model them using iterative methods. Two iterative methods of determining the optimal pipe diameter in a gas distribution network with closed loops are described in this paper, offering the advantage of maintaining the gas velocity within specified technical limits, even during peak demand. They are based on the following: (1) a modified Hardy Cross method with the correction of the diameter in each iteration and (2) the node-loop method, which provides a new diameter directly in each iteration. The calculation of the optimal pipe diameter in such gas distribution networks relies on ensuring mass continuity at nodes, following the first Kirchhoff law, and concluding when the pressure drops in all the closed paths are algebraically balanced, adhering to the second Kirchhoff law for energy equilibrium. The presented optimisation is based on principles developed by Hardy Cross in the 1930s for the moment distribution analysis of statically indeterminate structures. The results are for steady-state conditions and for the highest possible estimated demand of gas, while the distributed gas is treated as a noncompressible fluid due to the relatively small drop in pressure in a typical network of pipes. There is no unique solution; instead, an infinite number of potential outcomes exist, alongside infinite combinations of pipe diameters for a given fixed flow pattern that can satisfy the first and second Kirchhoff laws in the given topology of the particular network at hand