Reclaiming Purpose

CHAPTER 5Rethinking Our Learning Models: From One Size Fits All to Precision Learning

Consider Sofia, who is enrolled in a design program at a university using a revolutionary learning platform powered by artificial intelligence (AI). She is completing a course on sustainable design principles in which she quickly mastered the core concepts of energy efficiency and material sourcing. Her learner profile indicates a strong interest in competitive sailing and maritime history. Recognizing her high mastery and engagement, the AI creates a personalized challenge that stretches her application of the skills: a detailed case study centered on designing an environmentally neutral racing yacht hull using advanced, lightweight recycled materials. This challenge is precisely tuned to her current level, is highly motivating due to her interests, and forces her to transfer learning into a novel, complex scenario. Sofia syncs her smart watch to the AI platform and chooses “better sleep” as a goal. When she logs in later than usual, at ten o'clock at night, the AI agent says, “Hey, Sofia, welcome back. We can start this next module, but you haven't had a good night's sleep in three days, and one of your goals is better sleep. Would you rather head to bed and take up this module tomorrow? I see in your schedule that you have open times at nine o'clock in the morning and again at seven in the evening, which usually are better hours for you.” If Sofia decides to ignore the suggestion and start ...