The authorities of Estonia, together with Openai and Anthrope, launch the AI LEAP program to teach schoolchildren to work with artificial intelligence. Within the framework of IT, as of September, 20 thousand high school students will receive access and technologies, and 3 thousand teachers have already begun to perform seminars in neuronal networks, writes Financial Times.
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In the future, the program will expand. It is planned to cover another 38 thousand students and 2 thousand teachers. It is likely that primary degrees students can participate in it. The president of Estonia, Alar Caris, said that the initiative is not intended to replace teachers, but to the development of critical thinking and the awareness of artificial intelligence.
Why is this necessary? The teachers themselves will decide how to use artificial intelligence in the lessons, said Education Minister Kristina Kallas. According to her, some school exercises, such as writing essays, have lost meaning, since they are done with the help of AI. In this situation, teachers should teach students to develop critical thinking skills and evaluate the results of the work of neural networks, Create Callas.
How much does it cost? The State and the Private Fund, which was invested in Estonios entrepreneurs, will finance the program. Among them is Taathvet Khinricus, co -Founder of the Wise Payment System, and Yaan Tallin, one of Skype’s developers. The initial program budget is € 3.2 million, next year it will increase to € 6 million.
Now Estonia’s authorities are negotiating with Openai and Anthrope, but in the future they are ready to cooperate with other companies. Estonia school data will not be used for neuronal networks, says FT.
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In autumn, Operai has launched for teachers a free online course on how to use chatgpt in the educational process, TechCrunch wrote. He told how the neuronal network will help create plans for interactive educational lessons and materials. American teachers were divided into opinions: some believe that neural networks will help improve lessons, while others fear the confidentiality of the data.
Author:
María Rudnitskaya
Source: RB

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