Familiaritat no és el mateix que alfabetització en IA

Un article ben interessant de Campus Technology torna a fer una afirmació rellevant: familiaritat amb una tecnologia o eina no vol pas dir comprendre bé el que fa.

AI familiarity is not the same as AI literacy: Students may know how to generate quick AI outputs, but still need critical thinking, communication, writing, reading, and analysis skills to evaluate and use those outputs effectively.

O sigui, es pot saber com generar informació, textos, treballs, … però no necessàriament això comporta pensament crític i competències de comunicació,  escriptura, lectura o anàlisi per tal de valorar la qualitat i veracitat d’aquesa informació, textos o treballs.

The ai equity gap who has access and whos left behind.

L’alfabetització en IA s’ha de fer abans d’arribar al món laboral:

AI literacy should be built before students enter the workforce: Schools, higher education institutions, and employers can strengthen workforce readiness through transparent policies, guided AI tools, dedicated practice, and education-business partnerships.

En aquest article s’hi proposen quatre punts:

Establish transparent policies. Without rules of the road, educators and students have to make it up as they go. Institutions need clear guidelines on when AI use is appropriate, and when it is not. There is not one blanket answer. For example, an AI assistant with guardrails could be appropriate for a writing exercise, but AI should not be used during a nursing program final exam.

Implement AI with guardrails. Not all generative AI tools are created equal. Take this side-by-side video of a mock student asking Turnitin’s AI assistant questions during the paper writing process vs. a leading LLM. Students and educators need tools that teach appropriate use during the learning process so critical thinking skill development isn’t outsourced.

Create AI sandboxes. Students need to experiment, fail, and learn about how to use AI most effectively and appropriately. Educators should consider dedicated assignments designed for AI collaboration, with fewer guardrails to allow students to evaluate outcomes using their own judgment.

Foster education-business partnerships. Employers are learning on the job, as well, defining what AI tools help their businesses and what AI literacy looks like for their employees. With more partnerships between schools, higher education, and employers through guest speakers, internship programs, or advisory boards helping shape curriculum with faculty, we can better ensure graduates have the skills employers actually need.

Per pensar-hi.

I després hi ha el tema de l’accés i de l’equitat, és clar…