The recent advancements of AI-based educational platforms are opening up a new era for personalized learning as an alternative for future education. This study explores the structures of personalized learning in the current AI-based educational platforms to interpret their meaning from the perspective of Learned Curriculum. For this, three leading AI-based educational platforms, Classting (Korea), Squirrel AI Learning (China), and Khan Academy (USA) were described with a focus on the personalized contents, methods, and pace to meet students’ needs. The results are as follows: First, the personalized contents offered by the platforms are the sequenced contents within the total content structure that students are required to learn; Second, student choice for learning methods is partially being provided within the platforms; Lastly, personalized learning provided by the platforms ultimately means the personalization of pacing based on assessment results. Consequently, the discourse surrounding personalized learning provided by AI-based educational platforms needs to expand beyond personalization within the predetermined content areas to encompass curriculum-level openness. Moreover, the “students’ needs” used for diagnosis for personalization should include not only the assessment results of Given Curriculum contents, but also the students’ personal interests or goals as guiding objectives for each student’s Learned Curriculum. 

Keywords : AI-based Platforms, Personalized Learning, Individualized Learning, Student Choice, Learned Curriculum