The researchers built an AI tutoring platform that gives all students access to the same gen AI chatbot and course materials, but varies the sequence in which practice problems are assigned. In a five-month Python course across 10 Taipei high schools, students were randomly assigned to one of two groups: One received a standard sequence of problems progressing from easy to hard, while the other received a personalized sequence, in which an algorithm adjusted problem difficulty based on each student’s performance and interactions with the AI tutor. Because everything else was held constant, this design isolates the impact of personalized homework.
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