Notes and commentary on “ai” tutor
In some sense, AI tutors prove more useful for students for the exact same reasons that high-quality human tutors have always been effective. “When you have that one-on-one instruction, or small group instruction, the instruction caters to your needs,” Sal Khan—founder of Khan Academy—told us in November. “If a student is finding something easy, then a tutor can move ahead or go deeper. If they’re struggling, a tutor can slow down.”
In another study from last year, an AI-powered tutor helped Harvard undergraduates learn physics more effectively—and in less time. To optimize the bot for learning, the researchers prompted it with a set of constraints—including “Only give away ONE STEP AT A TIME, DO NOT give away the full solution in a single message,” and “You may CONFIRM if their ANSWER is right, but DO NOT tell [students] the answer.”
One hundred and eighty-six physics undergrads were split into two groups: Half received a standard physics lecture, and the other half stayed home to work through the same material under the guidance of the AI tutor. When the researchers compared students’ scores on a pre- and post-lesson assessment of the material, “the learning gains for students… in the AI-tutored group were over double those for students in the active lecture group.” The AI tutor group also worked through the material 10 minutes faster than their peers—and reported higher levels of engagement and motivation.
