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Observatorio IA
Es evidente que la Inteligencia Artificial plantea importantes retos que deberían ser nuestra prioridad.
Las máquinas ya son capaces de generar imágenes espectaculares y textos literarios con las instrucciones que les dan las personas. ¿Quién es entonces el verdadero creador? Preguntamos a una científica del MIT y a uno de estos robots virtuales: ChatGPT.
ChatGPT is so last year. Ditch it and try these 7 tools instead.
The most time-consuming part of shopping for many is the research process: poring through review sites and plucking out the item that’s right for you, whether it’s coffee equipment or a hotel room that is both convenient and affordable.
I’ll cover what A.I. can do to help make informed purchasing decisions quickly and efficiently.
You can now LEARN any language… using only ChatGPT.
Here’s my Step-by-Step guide to learn ANY new language you want
How can we effectively communicate to education professionals that generative AI will enhance their work rather than replace them?
Rania Abdelghani, Yen-Hsiang Wang, Xingdi Yuan, Tong Wang, Pauline Lucas, Hélène Sauzéon, Pierre-Yves Oudeyer
arXiv
(01/05/2023)
In order to train children's ability to ask curiosity-driven questions, previous research has explored designing specific exercises relying on providing semantic and linguistic cues to help formulate such questions. But despite showing pedagogical efficiency, this method is still limited as it relies on generating the said cues by hand, which can be a very costly process. In this context, we propose to leverage advances in the natural language processing field (NLP) and investigate the efficiency of using a large language model (LLM) for automating the production of the pedagogical content of a curious question-asking (QA) training. We study generating the said content using the "prompt-based" method that consists of explaining the task to the LLM in natural text. We evaluate the output using human experts annotations and comparisons with hand-generated content. Results suggested indeed the relevance and usefulness of this content. We also conduct a field study in primary school (75 children aged 9-10), where we evaluate children's QA performance when having this training. We compare 3 types of content : 1) hand-generated content that proposes "closed" cues leading to predefined questions; 2) GPT-3-generated content that proposes the same type of cues; 3) GPT-3-generated content that proposes "open" cues leading to several possible questions. We see a similar QA performance between the two "closed" trainings (showing the scalability of the approach using GPT-3), and a better one for participants with the "open" training. These results suggest the efficiency of using LLMs to support children in generating more curious questions, using a natural language prompting approach that affords usability by teachers and other users not specialists of AI techniques. Furthermore, results also show that open-ended content may be more suitable for training curious question-asking skills.
El otro día se me cruzó un vídeo de 1h30 de cómo evaluar en "tiempos" de IA. Ya te doy yo la solución en menos de lo q se tarda en decir "examen": De la misma forma q en tiempos de padres, profes particulares, academias, compañeros.. Con pruebas individuales presenciales.
Microsoft
(01/01/2023)
Aplicación de Microsoft que usa inteligencia artificial para diseñar carteles.
Pages
Sobre el observatorio
Sección en la que se recogen publicaciones interesantes sobre inteligencia artificial no dedicadas específicamente a la enseñanza de ELE. Los efectos de la IA sobre la enseñanza y aprendizaje de lenguas van a ser, están siendo, muy notables y es importante estar informado y al día sobre este tema.
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