Education hardware market
If you look up “intelligent education hardware” in the enterprise search, within a year 22897 new companies in the intelligent education hardware trade have been established. Whether traditional brands or multinational enterprises, everyone wants a share in this rapidly growing market.
Why can AI technology companies challenge traditional manufacturers’ inherent market share and become popular with consumers?
Learning machines and tablet products are the hubs of artificial intelligence through the education technology end, content end and interactive end. The future development trend will continue to upgrade towards “AI identification and detection + service + hardware + content”, so technology manufacturers will naturally take the lead.
It is a “natural” service extension for capable technology companies to enter the educational hardware industry. According to the evolution path of the industry, they have capital and technical support in the early stage, and now the market has built a smoothly circulating educational hardware business foundation, where they can leverage the fulcrum of the market.
Tech companies have technological advantages, because they are not pure hardware companies, but also handle Internet and AI. On the basis of the anti-blue light, anti-glare, anti-strobe functions that screen hardware have, the software can also carry out environmental light AI adaptive adjustment, sitting posture reminders and 20 other types of eye protection mechanisms. High school teachers do not necessarily give a lot of homework every day, but because of the high difficulty, students in the classroom may not be able to completely digest class content. The interactive built-in content is way more suitable for older children to improve their scores and get good grades. Tablet products choose to focus on the sense of interaction, and can allow children’s education and parents’ office work to take place on the same device, which can be said to be very cost-effective.
At present, the content provided by learning machine is divided into two categories. One is that the content has “added value”. Charging for content, or renting hardware to enjoy free content, was once thought to be the key to a steady stream of revenue from learning machines.
The other is to build their own content system by business cooperation with copyright owners and resource parties, or joint co-creation. The content in the learning machine covers content from almost every regional mainstream textbook, including Beijing university version, Hunan version, Hubei version etc., so that parents need not worry about textbook version differences affecting its usability. These resources can support children from primary school through high school. If students did not understand in class, they can listen once more to established teachers’ lessons clearly and vivid again at home. The most crucial part is that this content is free for users. Especially for users in the third, fourth and fifth tier cities, their own learning resources are relatively scarce, and the auxiliary learning tools are also needed after the double reduction, so the content of the open source of the learning machine has become one of the more important choices.
Smart screens have long been equipped with functions such as children’s learning and education, and there is a special “children mode”. Data show that smart hardware and smart devices equipped with assistants have covered more than 32.4 million primary school students, accounting for more than 30 percent of school-age children nationwide.
Letting education benefit every child is the ultimate ideal of “AI + education”, and is also the goal of the top-level design requirements for intelligent education hardware. The emergence of home scenario hardware such as learning machines can improve the balance of education, reach more people in need, and let children generally enjoy the learning machine in the more high-quality resources. Companies will also be able to provide more families with inclusive education concepts such as “teaching according to ability”, and truly achieve “load reduction” for children, so that every child can “learn”.
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