Which AI models to use for which tasks, how & why
Via Vladimir Kukharenko, juandoming, michel verstrepen
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EDTECH@UTRGV's curator insight,
January 23, 3:33 PM
"AI programs are a hot trend in universities and colleges, as they seek to capitalize on the popularity of generative AI tools like ChatGPT and Claude."
Edumorfosis's curator insight,
January 21, 2:51 PM
El Digital Education Outlook 2026 de la OCDE sostiene que existen muchas oportunidades pero también algunos riesgos relacionados con la GenAI. Las herramientas GenAI pueden apoyar el aprendizaje cuando están guiadas por objetivos claros de enseñanza o diseñadas específicamente para la educación. Sin embargo, cuando la IA elimina la lucha productiva esencial para el aprendizaje, los estudiantes pueden completar tareas más rápido y obtener mejores resultados inmediatos, pero su comprensión puede estar menos consolidada. Esto puede disminuir la resistencia cognitiva, la lectura profunda, la atención sostenida y la perseverancia. Sin un propósito pedagógico claro, GenAI puede fomentar lo que los investigadores llaman "pereza metacognitiva" y desvinculación. |
EDTECH@UTRGV's curator insight,
January 22, 1:52 PM
"GenAI can quickly carry out tasks that would take individual researchers many hours, days or even weeks, significantly easing administrative loads and freeing up valuable time for deeper thinking. But for all of that to happen, researchers need to know how and when to use appropriate GenAI tools to support their scholarly work, and how to ensure these powerful machines do not compromise academic integrity and research quality."
EDTECH@UTRGV's curator insight,
January 21, 1:11 PM
"Across educational organizations, AI is moving from experimentation to impact. Each year, more institutions increasingly accelerate their use of AI."
valeriadavila219@gmail.com's curator insight,
Today, 4:03 PM
This article paints a compelling picture of how rapidly AI has moved from experimentation to everyday impact in education, and I appreciate its attempt to balance optimism with caution. The data on adoption, personalization, and improved outcomes make a strong case that AI can meaningfully expand access, reduce teacher workload, and support learners who might otherwise be left behind, particularly in language learning and large-scale instruction. At the same time, the concerns about weakened critical thinking, reduced student–teacher connection, and lack of training are significant and cannot be treated as side notes to progress. What resonates most with me is the repeated emphasis that AI’s value depends on how well educators are prepared to guide its use without intentional training and AI literacy; the risks may outweigh the benefits. Overall, the article reinforces that the future of education is not about choosing between AI and human teachers, but about equipping educators and students to balance technological power with human judgment, connection, and critical thinking in an AI-driven world.
EDTECH@UTRGV's curator insight,
January 20, 3:10 PM
"AI may speed up instructional tasks, but it’s educator expertise that ensures those tasks are meaningful, accurate and grounded in students’ needs." |
Thanks to Michel Verstrepen.