tech
AI Can’t Fix the Student-Motivation Problem
In a 2023 TED Talk watched by millions of people, the American educator and entrepreneur Sal Khan declared that AI was about to deliver “probably the biggest positive transformation that education has ever seen.” The founder and CEO of Khan Academy was touting the company’s new educational chatbot, Khanmigo, claiming it promised to be an “amazing personal tutor” to “every student on the planet.” By 2024, OpenAI CEO Sam Altman was chiming in that AI was on the verge of delivering, for students, “virtual tutors who can provide personalized instruction in any subject, in any language, and at whatever pace they need.”
TL;DR
- AI educational tools like Khanmigo have seen limited student uptake despite accessibility growth.
- The core challenge in education remains student motivation, which AI has not solved.
- Learning is described as cognitively effortful, and AI cannot inherently make students want to learn.
- Research suggests AI benefits in K-12 schools are generally limited.
- Only a minority of students are highly engaged, and current tools may widen inequality.
- Human teachers, social interaction, and peer dynamics play a crucial role in student motivation and learning.
- Improving teacher hiring, training, and coaching is seen as a more effective strategy than relying on scalable digital tools.
- Effective teachers are described as caring and captivating, able to spark and sustain student interest.
- Students are motivated by human connection, peer cooperation, and competition, not just by technology.