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Item Learning Analytics in Spanish K-12 levels: A Systematic Literature Review(2023-12-27) Donate-Beby, B.; García-Peñalvo, F. J.; Amo-Filva, D.Learning analytics is defined as the measurement, collection, analysis, and presentation of data about learners and their contexts to understand and optimize learning and the environments in which it occurs. Although their usefulness could be fundamental to recognize students’ learning processes, there is no clear framework on the current state of development of learning analytics in the K-12 Spanish territory. The present work aims to increase knowledge on the empirical frame of the question through a Systematic Literature Review (SLR). The methodology follows the indications provided by the PRISMA procedure. As a result, 16 papers have been selected and analyzed using different research indicators. The most significant findings within the selected papers are a lack of research where teachers have maintained an active role in the development of Learning Analytics in the natural educational context. Also, it has been found a tendency for the prediction and improvement of student engagement and performance on Game Learning Analytics in different knowledge or competencies.Item The new reality of education in the face of advances in generative artificial intelligence(2024-01-01) García-Peñalvo, F. J.; Llorens-Largo, F.; Vidal, J.It is increasingly common to interact with products that seem “intelligent”, although the label “artificial intelligence” may have been replaced by other euphemisms. Since November 2022, with the emergence of the ChatGPT tool, there has been an exponential increase in the use of artificial intelligence in all areas. Although ChatGPT is just one of many generative artificial intelligence technologies, its impact on teaching and learning processes has been significant. This article reflects on the advantages, disadvantages, potentials, limits, and challenges of generative artificial intelligence technologies in education to avoid the biases inherent in extremist positions. To this end, we conducted a systematic review of both the tools and the scientific production that have emerged in the six months since the appearance of ChatGPT. Generative artificial intelligence is extremely powerful and improving at an accelerated pace, but it is based on large language models with a probabilistic basis, which means that they have no capacity for reasoning or comprehension and are therefore susceptible to containing errors that need to be contrasted. On the other hand, many of the problems associated with these technologies in educational contexts already existed before their appearance, but now, due to their power, we cannot ignore them, and we must assume what our speed of response will be to analyse and incorporate these tools into our teaching practice.Item Reflections on the ethics, potential, and challenges of artificial intelligence in the framework of quality education (SDG4)(2023-01-01) Flores-Vivar, J. M.; García-Peñalvo, F. J.This article analyses and reflects on the ethical aspects of using artificial intelligence (AI) systems in educational contexts. On the one hand, the impact of AI in the field of education is addressed from the perspective of the Sustainable Development Goals (specifically, SDG4) of the UNESCO 2030 Agenda, describing the opportunities for its use by teachers and students. On the other hand, there is an emphasis on the uncertainties caused by the fears of some who think, for example, that AI robots will replace human teachers. The methodology used is based on a documentary review, supported by reports and studies conducted by researchers as well as institutions and organizations committed to the development of AI and its capacity for action in the educational field, and the ethical questions that experts and organizations around the world are raising. The results seek to influence and deepen the ethical implications that AI can have in the educational field. Finally, some critical questions about the ethics and challenges of AI in education are proposed, concluding with the need to add proposals with new research and political actions which could lead to the creation of an ethical observatory of AI for education.Item Systematic Literature Review of Realistic Simulators Applied in Educational Robotics Context(MDPI, 2021-06-13) Camargo, C.; Gonçalves, J.; Conde, M. Á.; Rodríguez-Sedado, F. J.; Costa, P.; García-Peñalvo, F. J.This paper presents a systematic literature review (SLR) about realistic simulators that can be applied in an educational robotics context. These simulators must include the simulation of actuators and sensors, the ability to simulate robots and their environment. During this systematic review of the literature, 559 articles were extracted from six different databases using the Population, Intervention, Comparison, Outcomes, Context (PICOC) method. After the selection process, 50 selected articles were included in this review. Several simulators were found and their features were also analyzed. As a result of this process, four realistic simulators were applied in the review’s referred context for two main reasons. The first reason is that these simulators have high fidelity in the robots’ visual modeling due to the 3D rendering engines and the second reason is because they apply physics engines, allowing the robot’s interaction with the environment.Item Propuestas Europeas para Trabajar en la Brecha de Género en STEM: Un Análisis Sistemático(IEEE, 2020-10-01) García-Holgado, A.; Verdugo-Castro, S.; González-González, C. S.; Sánchez-Gómez, M. C.; García-Peñalvo, F. J.There is a critical gender gap in the STEM areas at all levels of education and the labour market. In this context, the European Union has included an increase in female participation in STEM as one of its priorities. It has funded a considerable amount of research projects, so a substantial number of institutions and organizations across Europe has worked on the same objective, but there are not an analysis of the proposals and achievements in all those research projects. This work aims to present an overview of the outputs from European research projects developed during the last five years related to the gender gap in STEMItem Smart Learning(MDPI, 2020-10-06) García-Peñalvo, F. J.; Casado-Lumbreras, C.; Colomo-Palacios, R.; Yadav, A.Artificial intelligence applied to the educational field has a vast potential, especially after the effects worldwide of the COVID-19 pandemic. Online or blended educational modes are needed to respond to the health situation we are living in. The tutorial effort is higher than in the traditional face-to-face approach. Thus, educational systems are claiming smarter learning technologies that do not pretend to substitute the faculty but make their teaching activities easy. This Special Issue is oriented to present a collection of papers of original advances in educational applications and services propelled by artificial intelligence, big data, machine learning, and deep learningItem Track 16: TEEM 2019 Doctoral Consortium(ACM, 2019-10-16) García-Peñalvo, F. J.; García-Holgado, A.; Ramírez-Montoya, M. S.Once again, the doctoral consortium track plays a central role in TEEM Conference. This track exists since the first edition on the conference in 2013 and still looks for Ph.D. candidates present the advances of their theses and do networking with other peers and more experienced researchers. This track was born linked to the Ph.D. Programme on Education in the Knowledge Society of the University of Salamanca (Spain), but we are happy to receive exciting proposals from another Ph.D. Programmes around the world, enriching the debates and the networking.