Investigando la IA Generativa en la Educación en Computación / MIT RAISE - MIT Open Learning
Compartimos un enlace a un artículo interesante de Steve Nelson, acerca de una investigación realizada por integrantes de la Iniciativa RAISE del MIT junto con MIT Open Learning, acerca del uso de la IA Generativa en la educación en Computación
https://medium.com/open-learning/investigating-generative-ai-in-computer-education-ec329380a94b
Recomendamos leer el artículo completo les tomará unos 10 minutos.
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Algunos aspectos destacables:
Researchers also highlight “constructionist approaches to learning,” and “learning-through-making in student-driven projects — computational thinking and skills, like coding” can help enhance student learning.
The researchers warn that several factors limit the effectiveness of using generative AI tools in the classroom including privacy, safety, cost, biased outputs, over reliance on tech tools, and academic integrity. These and other factors should give pause to educators as they continue to find safe and reliable ways to use generative AI to augment educational goals.
One takeaway from this group was that beyond learning how to interact with generative AI software development tools, entry-level coders will continue to need the same skills that talented coders currently need. The group also warned that generative AI still couldn’t account for some of the soft skills that workers will need for the future of work, including problem solving, innovation, collaboration, and general business skills like networking and salesmanship.
Both studies suggest that investing in human-centered skills — teamwork, curiosity, critical thinking, lifelong learning, creativity, problem solving, and systems thinking — remain important for learners and workers to cultivate. And while generative AI has the potential to make learning more effective and workers more productive, finding the right balance between soft skills and technology seems to be the most important lesson learned.
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