Vibe Learning: Education in the age of AI

TL;DR

This paper discusses how AI, especially Large Language Models, is transforming education and emphasizes the need for new strategies to develop human skills that remain relevant amidst AI advancements.

Contribution

It identifies limitations of current LLM-based AI systems and proposes constructivist educational approaches to sustain human intellectual advantages.

Findings

Current AI systems have fundamental limitations that cannot be fully resolved.

AI tools are reshaping fields reliant on human intellectual effort.

Constructivist educational strategies can help preserve human skills.

Abstract

The debate over whether "thinking machines" could replace human intellectual labor has existed in both public and expert discussions since the mid-twentieth century, when the concept and terminology of Artificial Intelligence (AI) first emerged. For decades, this idea remained largely theoretical. However, with the recent advent of Generative AI - particularly Large Language Models (LLMs) - and the widespread adoption of tools such as ChatGPT, the issue has become a practical reality. Many fields that rely on human intellectual effort are now being reshaped by AI tools that both expand human capabilities and challenge the necessity of certain forms of work once deemed uniquely human but now easily automated. Education, somewhat unexpectedly, faces a pivotal responsibility: to devise long-term strategies for cultivating human skills that will remain relevant in an era of pervasive AI in the intellectual domain. In this context, we identify the limitations of current AI systems - especially those rooted in LLM technology - argue that the fundamental causes of these weaknesses cannot be resolved through existing methods, and propose directions within the constructivist paradigm for transforming education to preserve the long-term advantages of human intelligence over AI tools.