A la revista Campus Technology hi ha un bon article titulat Beyond AI Adoption: Designing Learning for an Age of Abundant Intelligence. Interessants els seus “key takeaways”:
AI shifts education from information access to capability development: As explanation, feedback, guidance, and simulation become more abundant, higher education must place greater emphasis on judgment, application, competency, and responsible use of knowledge.
Authentic practice becomes more scalable: AI can expand access to simulations, scenario-based learning, intelligent feedback, and immersive experiences that help learners build expertise through action, reflection, and repeated practice.
Higher education must help build broader learning ecosystems: Universities will increasingly serve as architects, conveners, and orchestrators across partnerships with employers, technology providers, public agencies, and communities.
La introducció és rellevant:
Higher education was designed for a world in which access to knowledge, expertise, feedback, mentorship, and authentic learning experiences were inherently scarce.
By making many forms of intelligence increasingly abundant AI is inherently redefining the existing paradigm, offering the potential of personalized attention and resources to thousands of additional learners, irrespective of location, socio-economic status, and background, enabling greater levels of learning and career experiences at scale.
While the internet led to information abundance, artificial intelligence is creating something entirely different in increasingly ubiquitous access to explanation, feedback, guidance, simulation, and even cognitive support.
The transformation in operative constraint from access to information to the ability to interpret, apply, and evaluate it changes the role of education in a fundamental way, now emphasizing abilities to make sense of information and to apply it effectively and responsibly both during learning and in the professional workplace context.
This shifts the operative constraint from access to capability and increasingly places value on the demonstration of competency.
Aquest paràgraf té idees bones:
The most transformative implications may emerge not from the content delivery but from authentic practice. Historically, experiential learning has been among the most valuable aspects of education providing opportunities for learners to apply knowledge, make decisions, experience consequences, and develop professional judgment. However, these experiences have been constrained by access, cost, capacity, and even need for geographical colocation. Artificial intelligence creates opportunities to expand authentic practice through exacting simulations, immersive environments, scenario-based learning, intelligent feedback systems, and dynamic problem-solving experiences, not only providing mechanisms that were previously difficult to imagine but also enabling learners to gain from repeated opportunities to engage with realistic situations that they would see in the workplace. Thus, the transformative potential of AI lies less in delivering information and more in expanding access to meaningful practices through designed experiences helping learners develop capability through action, reflection, and experience, thus bridging the gap that currently exists between academic knowledge as assessed through grades and degrees and the ability to succeed in the workplace determined through experiences and development of key skills. It should be emphasized that this is not about vocational training. Nor is it about narrowing education to meet immediate workforce needs. Rather it is about aligning learning with how expertise actually develops.
El valor transformatiu de la IA pot ser, doncs, no pas en proporcionar informació, sinó en expandir l’accés a pràctiques rellevants mitjanánt l’acció, la reflexió i l’experiència.