En nuestra era digital actual, la inteligencia artificial (IA) se ha convertido en una herramienta esencial en diversos sectores, incluyendo el ámbito administrativo. La adopción de IA ofrece innumerables beneficios, como la automatización de tareas repetitivas, la mejora en la toma de decisiones y el incremento de la eficiencia operativa. Sin embargo, para maximizar estos beneficios, es crucial capacitar adecuadamente a los empleados administrativos en el uso de esta tecnología. Vamos a explorar la importancia de dicha capacitación, destacando sus impactos en la productividad, la competitividad y el desarrollo profesional.
Las empresas estadounidenses están adoptando rápidamente la inteligencia artificial (IA) para automatizar el trabajo que antes realizaban exclusivamente los humanos.
Casi la mitad (46%) de las grandes empresas de EE.UU. tiene previsto utilizar la IA en el próximo año para automatizar tareas que antes realizaban los empleados, según una encuesta de jefes de finanzas publicada el jueves. Esas tareas incluyen desde el pago a proveedores y la elaboración de facturas hasta la presentación de informes financieros, según la encuesta realizada por la Universidad de Duke y el Banco de la Reserva Federal de Atlanta.
Artificial Intelligence is inspiring educators all over the world.I reached out to teachers on LinkedIn, X, and Facebook to find out which AI tools are having the most impact in classrooms. The overwhelming response is testament to how much educators are loving their new AI workmates. After exploring the first round of popular tools, let’s take a look at five more.While many educators are using leading AI chatbots such as ChatGPT and Google Gemini, platforms designed specifically for educators a
Meet your new AI-powered video creation app for work. Google Vids is a new app that helps you easily share ideas and create rich video content. Coming soo
To determine where data is shared and what data is no longer available, this study analyzed data shared by researchers at a single university. 2166 supplemental data links were harvested from the university’s institutional repository and web scraped using R. All links that failed to scrape or could not be tested algorithmically were tested for availability by hand. Trends in data availability by link type, age of publication, and data source were examined for patterns. Results show that researchers shared data in hundreds of places. About two-thirds of links to shared data were in the form of URLs and one-third were DOIs, with several FTP links and links directly to files. A surprising 13.4% of shared URL links pointed to a website homepage rather than a specific record on a website. After testing, 5.4% the 2166 supplemental data links were found to be no longer available. DOIs were the type of shared link that was least likely to disappear with a 1.7% loss, with URL loss at 5.9% averaged over time. Links from older publications were more likely to be unavailable, with a data disappearance rate estimated at 2.6% per year, as well as links to data hosted on journal websites. The results support best practice guidance to share data in a data repository using a permanent identifier.
AI is transforming our lives. The AI revolution is transforming nearly every aspect of our lives, and education is no exception. As artificial intelligence (AI) technologies become more sophisticated and accessible, their potential to reshape teaching and learning is becoming increasingly apparent. From personalizing instruction to automating administrative tasks, AI promises to enhance educational outcomes and empower educators to better aid their students.
Around the world, countries are leveraging AI to revolutionize education, each with unique approaches tailored to their specific educational goals and challenges. Singapore, for example, is setting a global benchmark with its “Smart Nation” strategy, aiming to become a world leader in AI by 2030. This includes extensive use of AI to support personalized education and help teachers better address the needs of students, especially those with special needs. Similarly, South Korea is using AI to personalize homework and learning activities based on individual educational levels and learning behaviors, while Finland is integrating AI into its national education system with a strong emphasis on ethics and equity (Lake 2023).
However, as AI proliferates in education, it is crucial for policymakers, educational institutions, and stakeholders to understand both its potential benefits and the challenges that come with its implementation. While some, like Sal Khan, founder of Khan Academy, believe that AI will be “probably the biggest transformation that education has ever seen,” others, such as Benjamin Riley, founder of Cognitive Resonance, caution that we may be misunderstanding the role technology can play in education due to a failure to properly understand the science of how humans think and learn.
Moreover, the increasing use of AI-powered tools, such as ChatGPT, has led to concerns about academic integrity and the need for AI-detection tools. A recent survey by the Center for Democracy & Technology found that while schools are adapting to the growing use of AI, there are still significant concerns about the effectiveness of AI-detection tools and the potential for false accusations of cheating.
En un mundo donde la tecnología inteligente domina cada vez más, la interpretabilidad de los sistemas de inteligencia artificial (IA) se convierte en un imperativo ético y educativo crucial. Los modelos de aprendizaje multidisciplinarios (MAM) emergen como una respuesta innovadora al desafío de las «cajas negras» del aprendizaje automático tradicional. Estos modelos no solo integran datos y algoritmos, sino también conocimientos interdisciplinarios de ética, psicología, sociología y derecho. Facilitan una comprensión profunda de cómo se toman decisiones y se generan predicciones, promoviendo transparencia y mitigando sesgos.
En este contexto, exploraremos cómo los MAM superan a los modelos tradicionales en precisión y transparencia, destacando su capacidad para adaptarse a contextos educativos dinámicos y complejos. Además, discutiremos el impacto potencial de estos modelos en la personalización del aprendizaje y el mejoramiento del rendimiento estudiantil en la educación superior. Sin embargo, también consideraremos las limitaciones y sesgos inherentes en los datos y algoritmos utilizados, crucial para un despliegue ético y equitativo de la IA educativa.
By Laura Bigler, Murray City School District, Utah Introduction Book Creator is a web-based platform that can be used to create easily customizable multimodal presentations or books. I chose to explore this platform because, as an educator, I think students
Choice boards are a fantastic tool for honoring learner variability and providing students with meaningful choices. Not every student enjoys the same task, so giving them options is critical to maximizing their motivation and focus in a lesson. Choice boards allow us to honor our students’ preferences, needs, and interests, making their learning experience more […]
Taking risks is never easy, especially when it comes to something as fundamental as teaching. It takes courage to try a new instructional model, strategy, or technology tool, especially when it means relinquishing control and empowering students to take charge of their learning. But what happens when the lesson doesn’t go as planned and students […]
To get content containing either thought or leadership enter:
To get content containing both thought and leadership enter:
To get content containing the expression thought leadership enter:
You can enter several keywords and you can refine them whenever you want. Our suggestion engine uses more signals but entering a few keywords here will rapidly give you great content to curate.
Scoop.it!
Your new post is loading...
![[PDF] AI revolution in Education: What you need to know | Education 2.0 & 3.0 | Scoop.it](https://img.scoop.it/MRSTxTepkpzcX9apumAWBzl72eJkfbmt4t8yenImKBVvK0kTmF0xjctABnaLJIm9)
