The world’s first educational robot white paper was officially released

On September 10, 2016, Beijing Normal University Institute of Smart Learning at the 2016 International ServiceRobotThe “2016 Global Education Robot Development White Paper” (hereinafter referred to as the “White Paper”) was officially released at the Industry Summit Forum. This is the first white paper published by an educational authority in the world based on detailed research data in the field of educational robotics.

The “White Paper” comprehensively sorts out the current situation and trends of global educational robot development by in-depth discussion of relevant information on the development of educational robots. From the global important research institutions of educational robots, market product evaluations, demand research, industry chain analysis and future market development forecasts, a comprehensive elaboration is given. The release of the “White Paper” plays a positive role in promoting the development of smart learning and the construction of smart cities; it has an extremely important reference value for the future planning and layout of educational robotics research institutions and related enterprises.

“White Paper” explains the future development trend of educational robots

The “White Paper” was initiated and implemented by the Smart Learning Research Institute of Beijing Normal University, and was jointly completed by nearly 20 experts and scholars from research institutions, industry experts, and enterprises. The “White Paper” uses research methods such as expert interviews, questionnaire surveys and literature analysis to summarize the short-term, medium-term and long-term needs of educational robots for children, primary schools, middle schools, universities, adults and the elderly. , language education and special education are common core needs.

In addition, the “White Paper” organizes academic literature related to educational robots in the past ten years, and sorts out important global research institutions and research fields for educational robots. In view of the market products that are highly concerned by the global educational robots, the market analysis framework is used to sort out 12 types of educational robot products in the world, and the application product analysis framework is used for product evaluation, which presents the application scenarios of educational robots in an all-round way.

The world’s first educational robot white paper was officially released

Pictured: Professor Huang Ronghuai, Co-Director of the Smart Learning Institute of Beijing Normal University, explained in detail the future development trend of the educational robot industry.

At the press conference, Professor Huang Ronghuai, Co-Director of the Smart Learning Institute of Beijing Normal University, on behalf of the project team, introduced the research background, process and ten main points of the “2016 White Paper on Educational Robots” (see Annex 1).

Educational robots lead the new fashion of smart learning

With the continuous development of Internet technology, the connotation of educational informatization is also changing. How to use new technologies to provide teachers with strong teaching assistance and mobilize students’ enthusiasm is a problem that the Smart Learning Institute has always been thinking about.

On October 26, 2015, two new research institutes established by Beijing Normal University’s Smart Learning Research Institute – “Educational Robot Engineering Center” and “Informatization Teaching Research Center” were listed in NetDragon Changyuan District, together with NetDragon and its education center. Business brand – Huayu in-depth cooperation, giving full play to the advantages of Beijing Normal University’s scientific research team and the technical advantages of NetDragon Huayu Education in the fields of capital, mobile Internet, big data, cloud computing and product research and development. With the complementary advantages of both parties, they will provide strong support for the research and development of educational robots in terms of algorithm improvement, teaching method research, and educational re

Published on 11/15/2022