With "National Reading" elevated to a national strategy, and "whole-book reading" becoming a mandatory component of compulsory education, how to solve the practical problems of children's reading—such as being unable to engage, understand deeply, or apply what they read—has become a pain point for many families. On June 8, Yuan College officially announced that it will launch a new product called "Yuan College AI Big Reading" in July this year, aiming to reshape the reading experience through technology and guide children to shift from superficial text browsing to deep cognitive internalization.

Addressing the common shortcomings identified in research on children's reading interest, comprehension depth, and expression output, this new product breaks free from the limitations of traditional reading products, which are either boring or fragmented. According to a relevant person from Yuan College, the core design of the product is to build a complete reading loop, allowing reading to be "visible and well answered" through 3D immersive narration, AI deep dialogue, paper book annotations, and "Boss Task" outcome delivery.

Differing from common large model applications in the market, "Yuan College AI Big Reading" emphasizes deep adaptation to educational scenarios. During the reading process, children can not only immerse themselves in 3D environments and professional voiceovers, but also break through cognitive blind spots through an AI one-on-one progressive question-and-answer mechanism. The system continuously tracks reading trajectories and provides personalized deep thinking training for each child through cross-lesson memory records.

Notably, the product does not abandon the traditional advantages of printed reading. The accompanying 12 physical books feature annotation designs aligned with the new curriculum standards, preserving the focus required for deep reading while using "Boss Tasks"—requiring children to produce video content after finishing a whole book—to transform reading outcomes into intuitive expression abilities. This "input - internalization - output" design aims to solve the problem of "forgetting after reading," making reading a powerful tool for developing thinking and expression skills.

As the release date of July 1 approaches, this AI product targeting new reading scenarios will undoubtedly become a major highlight in the education technology field this summer, as to whether it can truly help children "love reading and thoroughly understand every book."