Table of Contents
The development of society is closely related to education. The first thing to be eliminated is the old learning method
=The development of society is closely related to education, and the status of teachers is not guaranteed
Updating the education model, keeping up with the pace, and being used for change and innovation is the key
Home Technology peripherals AI The field of education is ushering in changes: The rise of artificial intelligence will eliminate traditional teachers and learning methods

The field of education is ushering in changes: The rise of artificial intelligence will eliminate traditional teachers and learning methods

Oct 12, 2023 pm 05:33 PM
AI education field disuse

The rapid development of artificial intelligence is worrying. While artificial intelligence provides us with convenience in life, it has created many new jobs and also poses a threat to many jobs.

Education is a link that can never be avoided and cannot be missing. The development of artificial intelligence has also impacted the field of education. In the future, both the existence of teachers and the learning patterns of students will be changed by artificial intelligence.

The field of education is ushering in changes: The rise of artificial intelligence will eliminate traditional teachers and learning methods

The development of society is closely related to education. The first thing to be eliminated is the old learning method

Each generation has its own learning method. Originally, there were few points of knowledge that could be learned. Teachers can help students learn, and they can complete homework, make corrections, etc. in school with ease.

Later on, there were more and more knowledge points, and the teacher could not finish them within the normal teaching time, and the students began not to do their homework in school. Later, after I simply went home, I had to preview the next day's course in order to keep up with the teaching progress.

The field of education is ushering in changes: The rise of artificial intelligence will eliminate traditional teachers and learning methods

Nowadays, knowledge points are constantly updated and learning pressure is increasing. Learning must be more personalized and have more convenient methods to better complete learning tasks.

A spokesman for the Ministry of Education said students must now learn personalized adaptive learning. In other words, you cannot learn in the old way. You must have your own rhythm and find a method and direction that suits you.

For example, some students always score 95 or 93 in exams. It seems that I study very well, but I always fail to get full marks. This proves that in the previous study, there were very subtle points that I did not learn well, or the study was not strong enough.

The field of education is ushering in changes: The rise of artificial intelligence will eliminate traditional teachers and learning methods

How to find this point? It’s hard for students to find them, it’s hard to find teachers, and parents don’t even know. But artificial intelligence can, and our country’s most advanced artificial intelligence that assists learning, can become bigger.

Computer big data calculations are very huge, and mistakes can be found out through students' practice . Through big data analysis, we can find out which knowledge points of which grade have not been memorized, and then conduct targeted learning and training.

If you are not good at speaking English, there is a large model with AI matching, so you can practice speaking face to face. Artificial intelligence learning assistants, etc., are all new tools for students to learn.

The field of education is ushering in changes: The rise of artificial intelligence will eliminate traditional teachers and learning methods

These things that seem far away from us have actually been developed for several years and are now very mature. In just six months of the outbreak, it has the momentum to overturn the 200-year rhythm of education.

Under this new model, if parents can take the lead in learning how to use artificial intelligence to steadily improve their children's grades and tutor their homework, it will become an easy job.

These are not groundless rumors, are relevant data that can be viewed in Google’s report on future education trends. Artificial intelligence is gradually changing education. Only by keeping up with the pace can we move more steadily and achieve better results. Will not be abandoned.

The field of education is ushering in changes: The rise of artificial intelligence will eliminate traditional teachers and learning methods

=The development of society is closely related to education, and the status of teachers is not guaranteed

At the artificial intelligence exhibition, we saw his learning ability. Writing lesson plans is no problem. Although it is a little early to say that artificial intelligence can completely replace teachers, it is only a matter of time.

In the future, some of the most basic teaching tasks will inevitably be replaced by artificial intelligence. Teachers who only know how to teach are in danger. Compared with artificial intelligence, the biggest advantage of teachers is that they can communicate better with students.

We can’t compare to machine learning capabilities and work efficiency. But human emotions and interactions cannot be replaced by machines. If teachers want to work better in the future, it is essential to learn to read students' minds.

The field of education is ushering in changes: The rise of artificial intelligence will eliminate traditional teachers and learning methods

Intellectual education and companionship on the road of growth are the general development direction of future teachers. You must have a sense of crisis. Artificial intelligence is developing very quickly and is being updated very quickly. Changes in education are imperative.

Updating the education model, keeping up with the pace, and being used for change and innovation is the key

For now, it’s not just artificial intelligence. The development of many technologies has an impact on the education sector. It is not advisable to rest on our laurels. What we have to do is to actively welcome these changes on the premise of education.

Only with changes in social development can education be more meaningful. Whether it is the teacher's teaching model or the student's learning model, there is an urgent need to change. The future development direction must also incorporate social changes and make more complete plans.

The field of education is ushering in changes: The rise of artificial intelligence will eliminate traditional teachers and learning methods

Using changes in technology, we can help students learn faster and better. In an era of such rapid changes, one can use old methods and learn little by little, and one can quickly screen out the shortcomings and make up for them as soon as possible. Soon, the gap will come out.

Students will consider their choice of industry and major in the future. You also need to learn how to screen. Some majors are bound to be eliminated amidst the constant changes in education. Choosing emerging majors with greater potential will provide a more secure future.

Don’t be afraid of technological changes. It’s not a scourge. Those who are replaced are people who are unwilling to change. Those who know how to adapt are standing at the forefront and becoming the masters of the new era.

Today’s topic: What do you think of this matter?

(The pictures are all from the Internet, if there is any infringement, please contact us to delete them)

The above is the detailed content of The field of education is ushering in changes: The rise of artificial intelligence will eliminate traditional teachers and learning methods. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Hot Topics

Java Tutorial
1664
14
PHP Tutorial
1268
29
C# Tutorial
1246
24
Bytedance Cutting launches SVIP super membership: 499 yuan for continuous annual subscription, providing a variety of AI functions Bytedance Cutting launches SVIP super membership: 499 yuan for continuous annual subscription, providing a variety of AI functions Jun 28, 2024 am 03:51 AM

This site reported on June 27 that Jianying is a video editing software developed by FaceMeng Technology, a subsidiary of ByteDance. It relies on the Douyin platform and basically produces short video content for users of the platform. It is compatible with iOS, Android, and Windows. , MacOS and other operating systems. Jianying officially announced the upgrade of its membership system and launched a new SVIP, which includes a variety of AI black technologies, such as intelligent translation, intelligent highlighting, intelligent packaging, digital human synthesis, etc. In terms of price, the monthly fee for clipping SVIP is 79 yuan, the annual fee is 599 yuan (note on this site: equivalent to 49.9 yuan per month), the continuous monthly subscription is 59 yuan per month, and the continuous annual subscription is 499 yuan per year (equivalent to 41.6 yuan per month) . In addition, the cut official also stated that in order to improve the user experience, those who have subscribed to the original VIP

Context-augmented AI coding assistant using Rag and Sem-Rag Context-augmented AI coding assistant using Rag and Sem-Rag Jun 10, 2024 am 11:08 AM

Improve developer productivity, efficiency, and accuracy by incorporating retrieval-enhanced generation and semantic memory into AI coding assistants. Translated from EnhancingAICodingAssistantswithContextUsingRAGandSEM-RAG, author JanakiramMSV. While basic AI programming assistants are naturally helpful, they often fail to provide the most relevant and correct code suggestions because they rely on a general understanding of the software language and the most common patterns of writing software. The code generated by these coding assistants is suitable for solving the problems they are responsible for solving, but often does not conform to the coding standards, conventions and styles of the individual teams. This often results in suggestions that need to be modified or refined in order for the code to be accepted into the application

Seven Cool GenAI & LLM Technical Interview Questions Seven Cool GenAI & LLM Technical Interview Questions Jun 07, 2024 am 10:06 AM

To learn more about AIGC, please visit: 51CTOAI.x Community https://www.51cto.com/aigc/Translator|Jingyan Reviewer|Chonglou is different from the traditional question bank that can be seen everywhere on the Internet. These questions It requires thinking outside the box. Large Language Models (LLMs) are increasingly important in the fields of data science, generative artificial intelligence (GenAI), and artificial intelligence. These complex algorithms enhance human skills and drive efficiency and innovation in many industries, becoming the key for companies to remain competitive. LLM has a wide range of applications. It can be used in fields such as natural language processing, text generation, speech recognition and recommendation systems. By learning from large amounts of data, LLM is able to generate text

Can fine-tuning really allow LLM to learn new things: introducing new knowledge may make the model produce more hallucinations Can fine-tuning really allow LLM to learn new things: introducing new knowledge may make the model produce more hallucinations Jun 11, 2024 pm 03:57 PM

Large Language Models (LLMs) are trained on huge text databases, where they acquire large amounts of real-world knowledge. This knowledge is embedded into their parameters and can then be used when needed. The knowledge of these models is "reified" at the end of training. At the end of pre-training, the model actually stops learning. Align or fine-tune the model to learn how to leverage this knowledge and respond more naturally to user questions. But sometimes model knowledge is not enough, and although the model can access external content through RAG, it is considered beneficial to adapt the model to new domains through fine-tuning. This fine-tuning is performed using input from human annotators or other LLM creations, where the model encounters additional real-world knowledge and integrates it

Five schools of machine learning you don't know about Five schools of machine learning you don't know about Jun 05, 2024 pm 08:51 PM

Machine learning is an important branch of artificial intelligence that gives computers the ability to learn from data and improve their capabilities without being explicitly programmed. Machine learning has a wide range of applications in various fields, from image recognition and natural language processing to recommendation systems and fraud detection, and it is changing the way we live. There are many different methods and theories in the field of machine learning, among which the five most influential methods are called the "Five Schools of Machine Learning". The five major schools are the symbolic school, the connectionist school, the evolutionary school, the Bayesian school and the analogy school. 1. Symbolism, also known as symbolism, emphasizes the use of symbols for logical reasoning and expression of knowledge. This school of thought believes that learning is a process of reverse deduction, through existing

To provide a new scientific and complex question answering benchmark and evaluation system for large models, UNSW, Argonne, University of Chicago and other institutions jointly launched the SciQAG framework To provide a new scientific and complex question answering benchmark and evaluation system for large models, UNSW, Argonne, University of Chicago and other institutions jointly launched the SciQAG framework Jul 25, 2024 am 06:42 AM

Editor |ScienceAI Question Answering (QA) data set plays a vital role in promoting natural language processing (NLP) research. High-quality QA data sets can not only be used to fine-tune models, but also effectively evaluate the capabilities of large language models (LLM), especially the ability to understand and reason about scientific knowledge. Although there are currently many scientific QA data sets covering medicine, chemistry, biology and other fields, these data sets still have some shortcomings. First, the data form is relatively simple, most of which are multiple-choice questions. They are easy to evaluate, but limit the model's answer selection range and cannot fully test the model's ability to answer scientific questions. In contrast, open-ended Q&A

SK Hynix will display new AI-related products on August 6: 12-layer HBM3E, 321-high NAND, etc. SK Hynix will display new AI-related products on August 6: 12-layer HBM3E, 321-high NAND, etc. Aug 01, 2024 pm 09:40 PM

According to news from this site on August 1, SK Hynix released a blog post today (August 1), announcing that it will attend the Global Semiconductor Memory Summit FMS2024 to be held in Santa Clara, California, USA from August 6 to 8, showcasing many new technologies. generation product. Introduction to the Future Memory and Storage Summit (FutureMemoryandStorage), formerly the Flash Memory Summit (FlashMemorySummit) mainly for NAND suppliers, in the context of increasing attention to artificial intelligence technology, this year was renamed the Future Memory and Storage Summit (FutureMemoryandStorage) to invite DRAM and storage vendors and many more players. New product SK hynix launched last year

SOTA performance, Xiamen multi-modal protein-ligand affinity prediction AI method, combines molecular surface information for the first time SOTA performance, Xiamen multi-modal protein-ligand affinity prediction AI method, combines molecular surface information for the first time Jul 17, 2024 pm 06:37 PM

Editor | KX In the field of drug research and development, accurately and effectively predicting the binding affinity of proteins and ligands is crucial for drug screening and optimization. However, current studies do not take into account the important role of molecular surface information in protein-ligand interactions. Based on this, researchers from Xiamen University proposed a novel multi-modal feature extraction (MFE) framework, which for the first time combines information on protein surface, 3D structure and sequence, and uses a cross-attention mechanism to compare different modalities. feature alignment. Experimental results demonstrate that this method achieves state-of-the-art performance in predicting protein-ligand binding affinities. Furthermore, ablation studies demonstrate the effectiveness and necessity of protein surface information and multimodal feature alignment within this framework. Related research begins with "S

See all articles