Download Free Inteligencia Artificial Para La Transformacion De La Educacion Book in PDF and EPUB Free Download. You can read online Inteligencia Artificial Para La Transformacion De La Educacion and write the review.

El contenido de este libro está dedicado a mostrar algunos de los esfuerzos y avances realizados por docentes, investigadores y estudiosos con relación a sus experiencias y trabajos de integración de la Inteligencia Artificial (IA) en sus campos de estudio, sobre todo, poniendo de manifiesto sus bríos por transformar de manera adecuada la educación. Por todos es sabido que la IA es casi omnipresente. Por lo tanto, debemos conocer cómo es que funciona, para qué sirve, cuáles son sus límites, sus ventajas y, sobre todo, sus desventajas. Podríamos mencionar someramente que uno de los impactos más definidos de la IA en el estudiante, podría ser la posibilidad de que tome notas de manera automática, traduzca contenidos educativos en tiempo real, provea de resúmenes de contenidos educativos de audio y vídeo, que haga la transcripción automática de apuntes, todo ello redundando en que, pueda recibir una enseñanza personalizada, adaptada y guiada con total retroalimentación, siempre en tiempo real. Con relación al docente, podríamos pensar a la IA como un asistente muy eficiente que le permitirá dejar de lado tareas repetitivas u otras que le consumen mucho tiempo, para estar más en contacto con sus estudiantes. Por otra parte, organismos internacionales como la OCDE y la UNESCO, aconsejan el desarrollo de competencias para la IA y un ejemplo de ello, puede ser la introducción en los sistemas escolares del Pensamiento Computacional. Este pensamiento se decanta en la posibilidad de resolver problemas de la vida cotidiana, mediante el uso técnicas de organización, representación y análisis lógico de información como los algoritmos. El pensamiento computacional, fundamentado en los conceptos esenciales de la informática, permite resolver problemas de la vida cotidiana mediante la concepción, desarrollo e implantación de sistemas que tratan de comprender el comportamiento humano. Además, el pensamiento computacional refuerza el pensamiento crítico. La IA está fundamentalmente basada en la algoritmia y por ello, es importante que cualquier gente pueda entender, aprender y aplicar el pensamiento computacional puesto que incluye una vasta gama de herramientas cognitivas. La IA abre así la posibilidad del aprendizaje adaptado y personalizado, creando distintas formas y rutas de aprendizaje de los estudiantes, en función de sus necesidades e intereses diversos. La IA en la educación se aboca a la producción de nuevos contenidos de forma autónoma utilizando técnicas y arquitecturas compuestas fundamentalmente por redes neuronales. También se pueden crear nuevos contenidos para videos, imágenes, texto, música o sus posibles combinaciones. En las siguientes contribuciones vamos a poder observar aplicaciones y experiencias de uso de inteligencias artificiales para distintas disciplinas que tienen como principal objetivo la transformación de la educación vía la IA. Esta transformación incluye desde metodologías didácticas para distintos entornos de aprendizaje, hasta la transformación de los distintos roles tanto de los estudiantes como de los docentes teniendo como principal vía transformadora la IA tanto en la infraestructura como en los modelos educativos, los contenidos didácticos, la gestión y también las políticas y la evaluación de todos los procesos que se desarrollan para lograr una transformación educativa a través de la integración de la IA. De la misma manera, se trabajan algunos textos relativos a los retos y alcances de la IA, frente a los problemas éticos, filosóficos, culturales, sociales, económicos que plantea la IA en el terreno educativo. A pesar de la gran aceptación que ha tenido la IA, todavía quedan muchas interrogantes y cuestionamientos por resolver.
In the rapidly evolving realm of Artificial Intelligence (AI) and digital technologies, a pressing issue confronts academic scholars and social scientists—the profound consequences of AI adoption within the intricate structures of society. Despite its pervasive influence, this critical topic remains largely unexplored in academic circles, leaving a significant knowledge gap regarding how AI reshapes human interactions, institutions, and the fabric of our digital society. AI and Emotions in Digital Society, edited by Adrian Scribano and Maximiliano E Korstanje, emerges as the timely and compelling solution to bridge this divide. In this transformative book, readers embark on an intellectual journey exploring the intricate interplay between society, technology, and emotions. Drawing together high-quality chapters from diverse disciplines and cultural backgrounds, the book fosters critical discussions that delve into the philosophical quandaries underpinning AI's influence, especially within the context of our ever-changing world. By adopting a balanced perspective that acknowledges both risks and opportunities, the book equips postgraduate students, professionals, policymakers, AI analysts, and social scientists with the tools to comprehend the far-reaching effects of AI on human behavior, institutions, and democratic processes. As readers engage with this thought-provoking content, they gain profound insights into how AI impacts various sectors, including education, travel, literature, politics, and cyber-security. AI and Emotions in Digital Society serves as an indispensable resource for navigating the ongoing AI revolution, inspiring informed decision-making, and fostering critical dialogue. By empowering readers to grasp the complexities of AI's role in a new cosmopolitan capitalism, the book opens possibilities for a future where humanity and technology harmoniously coexist, shaping the course of our digitally interconnected society.
The confluence of transformative global events, including a pandemic, the repercussions of climate change through extreme weather, and widespread political instability has jolted educational systems, prompting a rapid overhaul of conventional teaching and learning approaches. The embrace of remote and hybrid learning models has exposed institutional vulnerabilities, compelling a reevaluation of adaptability, leadership, and management strategies. Amid this novel educational landscape, the urgency for effective solutions has grown, spotlighting the need to uphold educational standards, cultivate engagement, and provide steadfast leadership. Promoting Quality Hybrid Learning Through Leadership and Educational Management, edited by Edgar Oliver Cardoso Espinosa, emerges as a guiding compass. This book intricately dissects the interplay between leadership, educational management, and technology, offering a comprehensive panacea for the challenges inherent in hybrid learning models. Curated from the collective wisdom of scholars and practitioners, this book offers a roadmap for institutions, distilling invaluable insights on adept leadership techniques, effective management practices, and the seamless fusion of digital tools to enhance the educational experience. Beyond a mere volume, it serves as a transformative tool for educators, researchers, and leaders seeking to recalibrate education for contemporary demands, shaping immersive learning environments and instilling the confidence to navigate an evolving educational vista.
Dive into the revolution with Artificial Intelligence (AI) in Patent Practice: No Patent Attorneys Were Harmed in the Making of this AI Revolution, where the traditional world of patent law collides with the dynamic power of artificial intelligence (AI). This isn't just another legal text; it's a gateway to understanding how AI is redefining what it means to protect innovation in the digital age. Discover through vivid scenarios how AI transforms a patent attorney’s week from a marathon into a sprint. From the lightning-fast completion of patent searches to the precision crafting of legal documents, witness how AI supercharges every aspect of the patent process. This book peels back the layers of complexity to show a future where AI doesn't just assist; it elevates, making superheroes out of patent attorneys. Designed for legal professionals, inventors, technologists, and anyone intrigued by the intersection of AI and intellectual property, this work goes beyond the surface. Artificial Intelligence (AI) in Patent Practice offers not just insights but a vision of the future—where efficiency meets creativity, driving innovation forward at an unprecedented pace. Prepare to be inspired, informed, and invigorated by what lies ahead for patent attorneys and the creators they defend. The future is here, and it’s powered by AI.
El libro que aquí se presenta Educación 4.0 en la época de Pandemia y Pospandemia: retos y oportunidades representa un esfuerzo consistente y pertinente que expone lecciones, aprendizajes y áreas de oportunidad que tienen las organizaciones de educación superior a partir del uso generalizado de tecnologías de la información y la comunicación (tic), durante y posterior a la pandemia por COVID-19. Esta obra está dirigida a los docentes y actores involucrados en los procesos educativos, pues no es conveniente dar vuelta a la hoja y retomar las antiguas prácticas presenciales y tradicionales después de todo el aprendizaje acumulado que se gestó durante esta etapa de contingencia, sino que estas experiencias nos conduzcan hacia escenarios de la Educación 4.0, indispensable para la conformación de ciudadanos del México del siglo XXI. DOI: https://doi.org/10.52501/cc.164
We are publishing this book as the result of a research project carried out by the University of Las Palmas de Gran Canaria in Spain and AFM Krakow University in Poland. Some parts of it were already announced during a scientific Conference organised remotely in Kraków in October 2020. It is now time to present the research findings in writing.The issue of Artificial Intelligence has long raised questions and interests, including those of legal science. A number of problems have not yet been widely analysed, despite the fact that the present time is undoubtedly a time of technological challenges. Therefore, in the presented publication, prepared by the international scientific community, under our scientific guidance, the authors try to analyse the areas which, in their opinion and in our opinion, required such analysis. The leitmotif of our scientific work was human rights and their relationship with Artificial Intelligence. In presenting the research results in this book, we realise that a number of issues still need to be clarified. Nevertheless, we hope that the work presented for the reader’s consideration will constitute an interesting voice in the discussion, a point of reference for all those dealing with the legal issues of new technologies and the protection of human rights.As the presented book is a collective work, the authors essentially present their own views. The whole work has been designed to address a broad spectrum of issues in Artificial Intelligence and human rights in a single collection. We are convinced that such a broad view will allow everyone interested in the discussed issues to see the essence of contemporary problems faced by the science of law in a multinational perspective.We encourage everyone to read the book!Laura Miraut MartínMariusz Zalucki
As societies become increasingly digital, the importance of cyber security has grown significantly for individuals, companies, and nations. The rising number of cyber attacks surpasses the existing defense capabilities, partly due to a shortage of skilled cyber security professionals.
Amidst the rapid evolution of educational technology, a pressing challenge confronts higher education institutions: how to effectively integrate generative artificial intelligence (AI) into their existing frameworks. As universities strive to adapt to the digital age, they are met with the complexities of incorporating AI-driven solutions to enhance teaching, learning, and administrative processes. However, the lack of comprehensive strategies and guidance hinders their ability to leverage AI's full potential, leaving educators and administrators grappling with uncertainty. In response to this critical dilemma, Integration Strategies of Generative AI in Higher Education emerges as a guide for clarity and innovation. By offering methodological insights and practical frameworks, this book equips higher education stakeholders with the tools needed to navigate the intricacies of AI integration. From curriculum enhancement to AI-driven content creation, the book provides actionable strategies tailored to the unique needs and challenges of higher education institutions.