Technology peripherals
AI
Artificial intelligence is embedded in digital education to get out of the 'model room' dilemma
Artificial intelligence is embedded in digital education to get out of the 'model room' dilemma
(Picture source: Photo Network)
(Reporter Chen Yi) Recently, the 7th World Intelligence Conference co-sponsored by the National Development and Reform Commission, the Ministry of Science and Technology and the Tianjin Municipal Government opened in Tianjin. Huai Jinpeng, Minister of Education, said at the opening ceremony that the Ministry of Education is actively promoting the in-depth integration of artificial intelligence technology (AI) and education, comprehensively improving the quality of teachers and students, and promoting educational reform, innovation and high-quality development. Education is an important cornerstone of national rejuvenation and social progress. Today, artificial intelligence is accelerating the transition from digitization and networking to intelligence in various economic and social fields. my country has also been actively exploring ways to realize the deep integration of artificial intelligence and education in recent years, hoping to use AI to help digital education get out of the "model room" dilemma. .
AI education market “dancing in the wind”
AI education is a collection of technologies, models and practices for the innovative application of artificial intelligence in the field of education. It organically combines traditional education and modern technology through information technology to produce a more intelligent and personalized education model.
my country’s AI education is ushering in policy trends. In January last year, the State Council issued the "14th Five-Year Plan for Digital Economy Development", proposing to further promote smart education, promote the construction of new educational infrastructure, build a high-quality education support system, and promote the sustainable and healthy development of "Internet education". In August of the same year, in order to implement my country's "New Generation Artificial Intelligence Development Plan", the Ministry of Science and Technology launched the major project of Scientific and Technological Innovation 2030 - "New Generation Artificial Intelligence" and approved the future construction of a national new generation artificial intelligence open innovation platform for smart education.
With the support of policies, AI has accelerated its penetration in the education sector, and my country's AI education industry has entered a period of rapid development. Federal Reserve Securities pointed out in a research report that the market size of AI education has reached 300 billion in 2022, and the future market size is expected to reach 7 trillion.
AI education application has significant advantages
"After the popularization of online classes, children can choose from a variety of courses taught by teachers from outside Xinjiang through their mobile phones. I feel that the regional gap in educational resources has narrowed a lot." said a parent of a student at Shawan No. 2 Primary School.
China Telecom Xinjiang Shawan Branch has successfully shared local teaching resources on the iTV cloud platform by building a video cloud platform for educational resources in the Shawan area, realizing educational resources on the PC, iTV and eUHD mobile phones. Screen sharing, and using the low-cost advantage of the iTV platform to increase the coverage of high-quality educational resources, help create "schools without walls", effectively narrow the urban-rural gap in local educational resources, and enable people to receive fair and quality education.
In Guangxi, China Telecom uses 5G big data and artificial intelligence as its core technologies to help Liuzhou Senior High School build a 5G big data precision education teaching and research project, create an information-based intelligent learning environment, and realize the normal application of precision teaching systems. Teachers at school can organize more personalized teaching and coaching through intelligent evaluation, intensive lecture comments, and multiple interactions. 5G smart paper-and-pencil classrooms can collect data during students' daily learning process, diagnose and discover deficiencies in the learning process in a timely manner and improve learning methods, helping students grow personalized and develop intelligently.
How to move smart education applications from “model rooms” to “commercial housing”?
The report of the 20th National Congress of the Communist Party of China made major arrangements for "implementing the strategy of rejuvenating the country through science and education and strengthening talent support for modernization", and pointed out that "it is necessary to promote the digitalization of education and build a learning society and a learning country with lifelong learning for all." specified. The development direction of education digitalization in my country. In order to accelerate the transformation of smart education applications from "model rooms" to "commercial housing", efforts can be made from the following aspects in the future: First, policy support for AI education should continue to be increased to provide strong policy guarantee for the development of the AI education market , and encourage companies and schools to carry out AI education applications and research. Second, enterprises and schools should strengthen the research and development and innovation of AI technology in the education field, continuously improve the application level of AI in the education field, and realize the intelligent and large-scale development of 5G education applications. Third, it is necessary to strengthen the cultivation of AI education talents, such as opening AI education-related majors in colleges and universities to cultivate more compound talents with AI technology and educational backgrounds to meet the talent needs of the AI education market.
The above is the detailed content of Artificial intelligence is embedded in digital education to get out of the 'model room' dilemma. For more information, please follow other related articles on the PHP Chinese website!
Hot AI Tools
Undresser.AI Undress
AI-powered app for creating realistic nude photos
AI Clothes Remover
Online AI tool for removing clothes from photos.
Undress AI Tool
Undress images for free
Clothoff.io
AI clothes remover
AI Hentai Generator
Generate AI Hentai for free.
Hot Article
Hot Tools
Notepad++7.3.1
Easy-to-use and free code editor
SublimeText3 Chinese version
Chinese version, very easy to use
Zend Studio 13.0.1
Powerful PHP integrated development environment
Dreamweaver CS6
Visual web development tools
SublimeText3 Mac version
God-level code editing software (SublimeText3)
Hot Topics
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
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
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
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
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
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
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
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
