Judging from the result data, the AI robot has completely defeated the human teacher, which triggered the discussion and speculation that the human teacher will be completely replaced by AI in the future.
In particular, the current "AI+ education" market is hot. All-robot-fed school canteens, online and offline teaching tools based on intelligent media, interest groups of makers such as drones/robots, and classroom systems for face recognition ... All kinds of intelligent teaching management methods have been introduced into the education industry, which not only improves teachers' work efficiency, but also brings teachers a sense of professional crisis.
Today's Teacher's Day, we give a negative answer-"Teachers are hard to be replaced by AI". For teachers, perhaps artificial intelligence is "liberation" rather than "substitution". On the other hand, the future must be an era of "man-machine teaching". Artificial intelligence can't replace teachers, but teachers who can't use technology will be replaced.
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AI is "liberation", not "substitution"
Last year, researchers from BBC Cambridge University analyzed the "elimination probability" of 365 occupations in the future through a data model.
When the elimination rate of personnel, customer service, government employees, accountants and bank employees is higher than 89%, the possibility of teachers being replaced by robots is only 0.4%.
Not only the statistical analysis of data, but also a large number of authoritative studies and celebrity speeches show that the profession of teachers is difficult to be replaced by artificial intelligence. Jobs also expressed his confusion about the influence of "computer" in the field of "education":
Then, why does the teacher become one of the occupations that artificial intelligence cannot replace?
Education is special. It has two parts: teaching and education. "Teaching" refers to knowledge transfer and teaching students what they know. This part of AI can do better than people. "Education" refers to the cultivation of character and encourages students to explore the unknown, discover, create and love. This part of the work is almost irreplaceable by AI.
Education is not a product on the training assembly line. No matter how the technology develops, teachers' words and deeds and face-to-face communication are all essential links in the process of educating people. Because face-to-face communication can best solve practical problems, if it is online communication, there will be many problems to be solved. Just as we can solve problems quickly with words, typing or speaking from a distance is particularly troublesome.
First, the essence of education will not change.
The so-called "teacher, so preach and teach to solve doubts", that is to say, teachers have a more important mission besides teaching students knowledge, that is, "educating people". In this matter, teachers have the irreplaceable characteristics of artificial intelligence. Teachers are full of emotion and wisdom, and they know how to integrate excellent quality into education in a subtle way.
Artificial intelligence only replaces part of the teacher's labor, and can't replace the teacher's role. This is because although robots also have communication functions such as dialogue and movement, they are far from rich and delicate feelings of human beings, let alone reach the realm of teachers' great love for educating people with emotion.
Second, artificial intelligence cannot be judged subjectively.
If artificial intelligence education is applied to practice, then students' judgment will definitely be handed over to machines. Anant Agvald, the founder of edX, once did an interesting experiment about grading students. On the edX platform, he asked robots to grade 65,438+10,000 papers through artificial intelligence technology. Although it was quick, the final grading results still puzzled teachers and students.
Because the recognition ability of the machine is not perfect enough, and the standard of grading is very rigid, students can't see the highlights in their papers and can only grade according to some specific standards. Therefore, if artificial intelligence education is really to be applied to reality, how to accurately judge students is still worth studying, otherwise a team of teachers will be specially equipped to judge students' achievements.
Third, artificial intelligence lacks innovation ability.
As far as the current technology is concerned, artificial intelligence has not yet reached the point of continuous innovation, and it is only a mechanical job in many industries. Although artificial intelligence education may replace teachers, it still needs to imitate human intellectual behavior and establish various models on the basis of human wisdom.
Although some exploration can be made, artificial intelligence education still has no innovation ability without human intelligence model and behavior mode as reference. Moreover, in terms of narrative ability, artificial intelligence education will also be lacking, and its expression is formed by integrating people's daily conversations. For some cliches and speaking skills, artificial intelligence education has not yet been realized.
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The future must be man-machine teaching.
Using technology will not be eliminated.
At present, the situation is not that artificial intelligence competes with teachers for rice bowls, but that teachers have more energy to study and refine their work, making the rice bowls more stable and firm, and even showing an artistic sense.
Including literacy software, spoken English APP, online class, one-on-one online class, etc. With the support of technology and data, teachers can obtain students' learning data and learning ability analysis reports more intuitively, freeing up a lot of energy. Instead of spending time on the pot teaching of basic teaching tasks, teaching students in accordance with their aptitude and making a faster transition from the "primary stage" to the "advanced stage" of education.
At the same time, under the advocacy of the government, educational informatization, as the basis of the development of personalized education, has made great progress in recent years, which is also an irreversible trend in the future. According to the statistics of the 13th Five-Year Plan of Education Informatization, the Internet access rate of primary and secondary schools in China has reached 87%, and the penetration rate of multimedia classrooms has reached 80%. High-quality digital education resources are increasingly abundant, and information-based teaching is gradually popularized; The information awareness and ability of teachers and school administrators have been significantly enhanced. With the popularization and popularization of the application of educational informatization, great changes have taken place in the traditional education and teaching mode, which has promoted educational equity and improved the quality of education and teaching.
Therefore, the future must be an era of "man-machine teaching". Teachers as a profession will not be replaced, but this does not mean that all teachers will not be eliminated. Repetitive and mechanical work can be done by artificial intelligence in the future. Teachers need to keep learning, pay attention to the latest technological progress in time, master how to use artificial intelligence technology to analyze cases and problems in the teaching process, and better help students master new knowledge in time.
Moreover, from the practice of offering artificial intelligence education in educational institutions at home and abroad, the so-called artificial intelligence education for K 12 people is not an artificial intelligence course in absolute sense, but a computer science with wider coverage and stronger universality. Among them, there are several serious problems to be solved:
First, the problem of educational inequality. At present, AI professional teachers are scarce and teaching materials are expensive. How to ensure the fairness of children's AI education in remote areas is a difficult problem.
Second, specialization and standardization. In the United States, children's STEAM education and computer education are rapidly approaching standardization. For example, CSTA was established in the United States. Although STEAM education has been introduced in China, it still lacks relevant standards and rules. How to prevent chaos in educational enterprises and ensure the professional quality of relevant educators is also an urgent problem to be solved.
Third, the issue of educational products. At present, most AI education in China is still in the theoretical stage, especially in primary and secondary schools. There are few programming products specifically for education, and most teachers only carry out some theoretical education step by step. Students rarely participate in it themselves, and the practical content is mostly demonstration. For a practice-oriented discipline like artificial intelligence, it seems difficult to cultivate real "talents".
Therefore, knowing this, what teachers should do is not to resist technology, and it is best not to adapt to technology early and late. What we should do most is to actively embrace and even guide technology.
Facing the challenge of artificial intelligence, teachers should actively adapt to the changes of information technology, seriously reflect and evaluate the ability of "machines have nothing but human beings", so as to improve teaching methods in a targeted manner. Only in this way can we turn the challenges brought by artificial intelligence into opportunities for traditional education. Teachers can also use artificial intelligence, big data and other technologies to help students design scientific and appropriate learning programs and conduct personalized learning. Artificial intelligence and big data can also be powerful assistants for teachers.