OpenAI's education head says students should use ChatGPT as a tool, not 'an answer machine'

In a recent podcast episode, Leah Belsky, the vice president of education at OpenAI, emphasized the importance of integrating artificial intelligence into educational practices. Belsky, who has been guiding OpenAI's education initiatives since 2024, argued that as workplaces increasingly adopt AI, students must learn to leverage this technology effectively. "Any graduate leaving an educational institution today should be proficient in using AI in their daily lives," Belsky stated. She highlighted that understanding AI will be crucial both during job applications and once students enter the workforce. However, many schools have taken a restrictive approach, focusing on preventing AI use, often labeling it as cheating and fearing it might lead to a decline in critical thinking skills. Belsky sees AI differently, likening it to a calculator. She believes that the key to education lies in how these tools are utilized. "If students treat AI merely as an answer machine, they won't truly learn," she cautioned. Her vision is to guide students and educators in using AI to foster creativity and enhance critical thinking skills. Central to the educational framework Belsky advocates for is coding literacy. She pointed out the rise of 'vibe coding'—a method that allows users to communicate with AI in natural language to generate code. This approach, while gaining traction, requires a foundational understanding of coding to ensure the AI-generated output is accurate. One major concern surrounding AI in education is its potential to diminish the 'productive struggle'—an essential aspect of learning. To address this, OpenAI recently launched "Study Mode" in ChatGPT, designed to offer students tailored guiding questions that align with their objectives and skill levels, promoting deeper comprehension. OpenAI isn't alone in tackling these challenges. Kira Learning, a startup led by Andrew Ng, is focused on helping educators teach coding effectively without a computer science background. They are creating AI agents aimed at introducing necessary challenges into student interactions with AI, encouraging a productive struggle and enhancing the learning experience. As educational institutions grapple with the rapid evolution of technology, it appears that the responsibility for fostering effective learning strategies will largely fall on tech companies. Tyler Cowen, an economics professor at George Mason University, recently remarked on the need for a shift in focus from merely preventing cheating to re-evaluating what should be taught and assessed in academic settings.