Observatorio IA - artículo

Pages

Ya están aquí…
Enrique Dans Enrique Dans (30/07/2023)
Estamos como en Poltergeist: delante de la televisión sin sintonizar, y diciendo eso de «ya están aquí«… No, no es malo, no es negativo, no lo vamos a prohibir, ni a regular de manera que no ocurra. Es, simplemente, inevitable. O desarrollamos una forma de distribuir la riqueza que se adapte a esos nuevos tiempos que ya están aquí, o tendremos un problema muy serio. Y no será un problema de la tecnología: será completamente nuestro.
Do or Die?
Philippa Hardman The Learning Science Newsletter (20/07/2023)
There’s been a lot of discussion in recent months about the risks associated with the rise of generative AI for higher education. Much of the conversation has centred around the threat that tools like ChatGPT - which can generate essays and other text-based assessments in seconds - pose to academic integrity. More recently, others have started to explore more subtle risks of AI in the classroom, including issues and equity and the impact on the teacher-student relationship. Much less work has been done on exploring the negative consequences that might result from not embracing AI in education.
How to Turn Notes into Learning Experiences, Using ChatGPT
Philippa Hardman The Learning Science Newsletter (13/07/2023)
There are a lot of AI-powered “summariser” tools on the market. These tools allow us to paste in unstructured text and have AI identify important sentences, extract key phrases and summarise the main points of the document. My research shows that lots of us are using AI summariser tools to help us to learn more from notes that we take in class, in work, while reading documents, watching videos and listening to podcasts etc. But, while summarising and giving structure to information can help to manage cognitive load and support basic recall, it doesn’t in itself help us to learn
The AI-Education Divide
Philippa Hardman The Learning Science Newsletter (29/06/2023)
My initial research suggests that just six months after Open AI gave the world access to AI, we are already seeing the emergence of a significant AI-Education divide. If the current trend that continues, there is a very real risk that - rather than democratising education - the rise of AI will widen the digital divide and deepen socio-economic inequality. In this week’s blog post I’ll share some examples of how AI has impacted negatively on education equity and - on a more positive note - suggest some ways to reverse this trend and decrease, rather than increase, the digital and socio-economic divide.
Don’t Use A.I. to Cheat in School. It’s Better for Studying
Brian X. Chen New York Times (30/07/2023)
Generative A.I.’s specialty is language — guessing which word comes next — and students quickly realized that they could use ChatGPT and other chatbots to write essays. That created an awkward situation in many classrooms. It turns out, it’s easy to get caught cheating with generative A.I. because it is prone to making stuff up, a phenomena known as “hallucinating.” But generative A.I. can also be used as a study assistant. Some tools make highlights in long research papers and even answer questions about the material. Others can assemble study aids, like quizzes and flashcards.
Essentials of Artificial Intelligence for Language Learning
Yurii Nykon Intellias (09/06/2023)
Artificial intelligence and language studying blend seamlessly when it comes to online education. Already a key component of sectors such as eCommerce, FinTech, and marketing, AI is quickly becoming standard practice in education. Online education has become a revolution en masse. With the accelerated introduction of AI to foreign language learning, we are now experiencing a similar paradigm shift. AI-powered language studying combined with the use of neural network capabilities is resulting in a new era of education for students and teachers alike. But how exactly can you use AI to improve learning outcomes for your students?

Pages

Publicar

Tipo

Temas

Autores

Fuentes