#Futureoflearning

As artificial intelligence (AI) rapidly transforms daily life, a growing chorus of education experts is calling for AI literacy instruction to begin in early childhood, well before traditional school years. A recent article in The 74 Million highlights the urgent need to support the youngest learners—those even before kindergarten—with critical skills for an AI-driven world, warning that waiting until primary school may squander a vital developmental window (the74million.org).

This call to action comes as nearly 70 leading technology companies and associations in the United States recently pledged to support accessible AI education initiatives for all K-12 students under a government-backed initiative. However, early childhood advocates and researchers warn that the focus on formal schooling, starting in kindergarten, misses a crucial period of early brain development. During the early years—birth to five—children’s brains form connections at their fastest rate, cementing the foundational skills most crucial for lifelong learning and adaptation.

A growing wave of concern is sweeping through universities worldwide as advanced AI tools like ChatGPT and Claude become the latest frontline in academic dishonesty, raising fundamental questions about the future and value of higher education. Recent reporting in Vox’s “The Gray Area” podcast and a deeply researched feature by a New York Magazine writer has brought the issue into sharp focus, revealing widespread patterns of AI-enabled cheating, mounting faculty frustration, and institutional inertia that have left many educators and students disillusioned or resigned (Vox).

China’s bold experiment in introducing artificial intelligence (AI) education to primary schoolers is sending shockwaves through classrooms—and corporate boardrooms—around the world. As six-year-olds in Beijing begin learning about the building blocks of AI, over 250 chief executives from top global companies, including Microsoft, Airbnb, and Uber, are demanding similar lessons for American students in the hopes of unlocking economic and social benefits on a global scale (Fortune, MSN). The move marks a pivotal moment not just for the United States, which is now scrambling to keep pace, but for Thailand and the wider world, where the question is no longer whether AI belongs in childhood education—but when and how.

Schools around the world are scrambling to develop effective strategies to police academic cheating fueled by generative artificial intelligence (AI) such as ChatGPT, as highlighted in a recent news report by Axios and corroborated by several other leading news outlets. The spread of AI-assisted cheating is becoming a pressing concern for educators, with no clear consensus on how to confront the new wave of academic dishonesty. As this issue escalates, the decisions made by schools and universities will shape the future of education, trust, and integrity in Thailand and globally.

A growing controversy over the use of artificial intelligence (AI) in university teaching reached a new peak this week, after a senior at Northeastern University in the United States demanded her tuition be refunded upon discovering her professor’s reliance on ChatGPT to create course materials. The incident, which involved telltale signs of AI-generated notes and images in a business class, has brought fresh attention to the ethical, pedagogical, and financial tensions emerging as generative AI tools become commonplace in higher education.

As artificial intelligence becomes increasingly accessible, a silent revolution is upending global higher education, with students using AI tools like ChatGPT to complete coursework, exams, and even job application processes. According to a recent in-depth report from New York Magazine’s Intelligencer, academic cheating via AI is rapidly becoming normalized in universities across the United States. The article exposes how students now routinely offload assignments to AI, with some estimating that as much as 80% of their written work is AI-generated. This trend raises serious questions about the authenticity of academic credentials—and the future of learning itself.