Homework helps release new learning machines and create the first "AI teacher one-to-one" model.

Thanks to CTOnews.com netizen Xiao Zhan for the clue delivery! CTOnews.com April 25 news, homework to help hold a new learning machine press conference, launched the industry's first AI teacher one-to-one learning machine. When users start to use the homework help learning machine, the AI teacher in the system will open the one-to-one mode, from the four links of finding out the test, making a plan, following the whole process, and supervising learning, to guide students to carry out targeted learning based on the one-to-one learning plan developed by AI big data.

Homework helps the learning machine to create the AI teacher one-to-one diagnosis planning model, accurately perspective the weak links of students through the efficient consultation model, interpret the learning situation according to the 65 million student big data model developed by the professional teaching and research team, and plan a targeted promotion plan. Homework helps the learning opportunity to develop a daily one-to-one promotion schedule, and AI teachers supervise the school every day. Finally, they provide parents with detailed feedback on their learning situation, and complete the complete learning process from diagnosis planning to lecture promotion.

CTOnews.com acquired from the official, homework to help the learning machine built-in self-research learning content system, including primary high school full-subject synchronization courses, 660 million + item bank resources, nearly 1 million sets of real test papers, 4100 + self-research AI interactive classes, authentic authorized big cats to enlighten English graded reading, more than 2000 million original exercises video lectures, 10000 + knowledge points micro-classes, 443 + self-research famous teachers' tricks, etc.

The homework help learning machine is equipped with 12.7in, 11-layer paper-like scattering eye protection screen, supports 4:3 gold reading ratio, 2K high-definition image quality, low blue light certification of Rheinland TUV, equipped with 8-core processor, built-in 8200mAh battery, equipped with noise reduction and sound pick-up microphone.