It is not a stranger to adapt the US education system to solve the problems of time. In 1957, the Soviet Union SPUTNY’nın Successful Starting, Scientist, Mathematics and Foreign Language Education wanted us to implement programs such as the National Defending Act. This resulted in rapid growth of Federal Finance for K-12 and higher education root programs and the increase in root graduates in the next decades.
Today we face a similar basis. Biden-Harris’s leadership was recognized that this relevance aims to develop a comprehensive federal strategic plan to develop root education and root talent in November 2024 and the development of the workforce necessary to eliminate critical problems such as artificial intelligence. Principles: Introduction and opportunity, partnership and ecosystem development and transparency and accountability. However, the sustainability of such initiatives is hanging in the balance.
The United States faces an unprecedented problem, not from foreign opponents, but also the rapid AI progress of our education system. Federal root initiatives often focus on bureaucratic solutions through agencies as a department of education (founded in 1980), how we teach and learn how true imperatives. The curriculum needs a radical update to highlight lifelong learning, fast prototiping and creative problem solving skills.
The program is expected to grow by 20% in 2033 with the development of 2023, and open an average of 140,100 jobs, opening an average of 140,100 jobs and direct students to practical skills. Deregulation and local controls can actually accelerate this transformation, which allows schools to adapt to technological change and workforce requirements.
AI revolution and gender gap
From 2017 since 2021, we have seen the regulation of the education policy of the Trump period and how the school choice is a priority. As Trump returns, we will surely see the same thing. Government and educational institutions in the country, the regulation will take steps. This is not necessarily a bad thing. After all, the Department of Education is only 25 years old.
As a non-profit founder of a leading global technology and EU education, I saw how the EU is a non-profit CEO, both the EU opportunities and problems. Although it can automate the AI tasks, this requires a skilled laborer in areas such as data analysis, critical thinking and human-centered design. However, the US educational system continues to disproportionate the number of disproportionately. Although women are the proposed classes with the official school system, women only make up 35% of the root workforce.
The women are already behind and they will even be further behind without the right intervention. Analysis analysis conducted by Berkeley Haas, Stanford University and Harvard Business School researchers, women are less likely to learn about AI, are less likely to use AI tools and build AI technologies. According to the women’s development, the information prepared by the EU is so bias. When women cannot gain economic opportunity, they are unable to return to society, and progress slow down. Thankfully, we can prevent this. We have all the thoughts and information in the past that we have to inform our strategy and strong tools and their partners to carry out proven strategies.
Research proves that it is possible
In 1995, in the University of Carnegie Mellon (CMU), only 7% of the computers of computer science were women. Management was given an alarm and conducted a study to determine how to bring more women to the field. It is not enough to unlock the club’s house, access to the course work for women and minorities. There must be a full spectrum of a full support that helps to act into someone who has identified the interests of a particular area. He fulfilled the CMU recommendations, and more than 51% women applauded in 2021. This proved that we should set up ambitious and measurable purposes.
AI forward union did it. Our latest women in our report, until 2035, starting with 50-50 gender parity in the AI workforce, aims to engage in 600,000 US High School daughter every year. Without this interference, technological women will remain stagnant, causing unequal and economic and technological growth. We must create an urgent feeling that experienced parties and communities prioritize equally in the technological labor force. This may require a special US coalition and campaign dedicated to gender equality in the EU.
Set up a workforce for AI cycle
The US education system will have to play a meaningful role in ensuring that the country can compete in the AI period. First of all, we need a full major overhaul of our education system.
Several main areas can help you place the United States as a leader in the development of AI education and workforce. First, to learn how to use AI, but better to learn how to use AI, we need to develop our curriculum to get out of traditional root education, traditional root education. This develops critical thinking courses about the ability to teach students to coding the coding skills, and the ability to effectively use EU restrictions and effectively use their potential. The building on this foundation should learn from success stories such as the approach of the variety in the technological education of the Carnegie Mello. It is not enough to offer root classes – actively participate in the active way through targeted programs and mentors, creating an intensive environment that supports all students in the conduct of technological careers.
Finally, we must accept that the skills needed in the AI will develop rapidly. This requires a lifetime learning culture throughout our education system, to easily adapt students and to fit along their careers. Continuing the ability to study and adapt will be very important to succeed in a future in the EU.
The stakes cannot be higher as we stand in American education in this critical currant. The contradiction between the prominent progress of the progress of the Biden administration and the promotion of progress to return to Trump-period policy. This is not just to protect the edge of the American competition, but to ensure that every American student will be given the opportunity to participate in the main economy of the EU.
The road sides, a recognition of a resistant investment in teaching capital, root programs and a AI, requires that America needs all of the different talent pools and needs their powers. The question is not to allow us that these investments cannot be able to do so, and whether we allow us to allow. The future innovation, economic welfare and technological leadership of our nation hangs on the balance sheet and is time to move.