scholarly journals THE CHANGES IN THE ROLES OF TEACHERS FROM THE PERSPECTIVE OF ARTIFICIAL INTELLIGENCE

2021 ◽  
Author(s):  
XIAOMIN LI
Keyword(s):  
Artificial Intelligence ◽  
Action Plan ◽  
Traditional Education ◽  
George Herbert ◽  
State Council ◽  
George Herbert Mead ◽  
Starting Point ◽  
Artificial Intelligence Technology ◽  
Technology And Education ◽  
The Times

Abstract. Information technology is constantly changing in the torrent of the times. Big data, Internet of Things, cloud computing and other technologies continue to break through their own barriers, strengthen the mutual integration between technology and education, and slowly fill the gap between artificial intelligence technology and education. Gradually realized education informatization and technology. In 2018, the State Council issued “China Education Informatization 2035”, “Education Informatization 2.0 Action Plan” and other documents, all of which are guiding, supporting and encouraging my country to realize the wisdom of education. The term role was first introduced by the American social psychologist George Herbert Mead to analyze that what is individuals should behave in different situations. This article takes artificial intelligence as the starting point and school education as the background, by analyzing the changes of artificial intelligence for education and the differences between traditional education, which will deepen the thinking and understanding of artificial intelligence and the professional roles of teachers.

Development of migrant workers in construction based on machine learning and artificial intelligence technology

2020 ◽  
pp. 1-12
Author(s):  
Chen Guang
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Labor Force ◽  
Migrant Workers ◽  
Engineering Industry ◽  
Agricultural Industry ◽  
Construction Engineering ◽  
Artificial Intelligence Technology ◽  
Chinese Labor ◽  
The Times

Artificial intelligence technology has been widely used in all aspects of our life. Similarly, the application of artificial intelligence in the field of construction engineering is a necessary trend in the development of engineering industry, especially in the traditional construction engineering department. Under the background of the times, from the perspective of knowledge, artificial intelligence technology has appeared a huge development, which may have an impact on the employment of Chinese labor force, may create new jobs, or replace traditional jobs. This effect on employment is essential. From the perspective of machine learning and artificial intelligence, this paper reviews the transformation prospects of engineering industry and the development of agricultural industry in construction industry, and examines the intellectual transformation of individual human capital in Chinese labor force.

scholarly journals Misconceptions in the health technology industry that are delaying the translation of artificial intelligence technology into relevant clinical applications

2021 ◽  
Vol 54 (4) ◽  
pp. 243-245
Author(s):  
Fabíola Macruz
Keyword(s):  
Artificial Intelligence ◽  
Human Performance ◽  
Health Technology ◽  
Medical Community ◽  
Technology Industry ◽  
Diagnosis And Prognosis ◽  
Starting Point ◽  
Causative Factors ◽  
The Status ◽  
Artificial Intelligence Technology

Abstract There is great optimism that artificial intelligence (AI), as it disrupts the medical world, will provide considerable improvements in all areas of health care, from diagnosis to treatment. In addition, there is considerable evidence that AI algorithms have surpassed human performance in various tasks, such as analyzing medical images, as well as correlating symptoms and biomarkers with the diagnosis and prognosis of diseases. However, the mismatch between the performance of AI-based software and its clinical usefulness is still a major obstacle to its widespread acceptance and use by the medical community. In this article, three fundamental concepts observed in the health technology industry are highlighted as possible causative factors for this gap and might serve as a starting point for further evaluation of the structure of AI companies and of the status quo.

scholarly journals Education Informatization 2.0 in China: Motivation, Framework, and Vision

2020 ◽  
pp. 209653112094492
Author(s):  
Shouxuan Yan ◽  
Yun Yang
Keyword(s):  
Artificial Intelligence ◽  
Action Plan ◽  
Educational Resources ◽  
National Network ◽  
Education Governance ◽  
Education Service ◽  
New Models ◽  
Teachers And Students ◽  
Artificial Intelligence Technology ◽  
New Education

Purpose: This article aims to shed light on a latest education informatization policy blueprint in China, titled Education Informatization 2.0 Action Plan, which was promulgated by the Ministry of Education in China on April 18, 2018. Design/Approach/Methods: The study is an analytical policy review based on the policy documents, theoretical discussion, and development of practice. Findings: This new Chinese education informatization policy was driven by three factors: the promotion of education informatization 1.0 in China, the requirement of education modernization toward 2035, and the response to “Wisdom Education.” The framework for action can be summarized as “One Goal, Three Tasks, and Eight Actions.” The main features involve innovation-driven development rather than technology-driven development, committing to the expansion of digital educational resources rather than the digital presentation of textbooks, and aiming at improving teachers and students’ information literacy rather than the applied skills of information technology. The future vision of the plan involves building new models on talent cultivation, education service, and education governance. The new models on talent cultivation involve establishing “Wisdom Teaching” mode, learning mode, and intelligent learning environment supported by artificial intelligence technology. The new education service models entail building the admission and sharing mechanism of quality educational resources based on National Network for Education and the public service platform and system for educational resources by means of the cloud computing and artificial intelligence. The new education governance models involve achieving precise, flat, and humanized education governance. Originality/Value: This article entails expounding the motivation, framework for action, main features, and vision of the education informatization 2.0 in China, which will be helpful for learning and understanding the current background, stage, and future path of China’s education informatization.

An empirical study on artificial intelligence technology based on big data to assist enterprise management decision

2021 ◽  
pp. 002072092098354
Author(s):  
Jie Guo ◽  
Dong Wang
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Big Data ◽  
Major Change ◽  
Enterprise Management ◽  
Management Decision ◽  
Management Decisions ◽  
Artificial Intelligence Technology ◽  
The Times ◽  
China’S Economy

With the continuous development of China's economy, the level of science and technology has been improved to a great extent. The advent of the era of Internet and cloud computing has brought a major change to China. However, with the advent of the era of big data, a bigger technological change is coming. The arrival of the era of big data has brought a certain impact on China's enterprise management and decision-making, and put forward higher requirements for China's enterprise management and decision-making. Therefore, enterprises need to constantly strive to improve themselves so as to better adapt to the era of big data. In order to keep pace with the development of The Times, major companies and enterprises need to constantly change their internal management methods in order to achieve sustainable and stable development in their own fields and make their management decisions smoother. Among them, optimization and reform of the application of big data are particularly important. Starting from the characteristics of big data and its role in enterprise management decisions, this paper analyzes the current situation of big data management within enterprises and discusses the influence of big data on enterprise management decisions from five aspects, namely, environment, data, participants, organization and technology. And this paper analyzes the construction method and design idea of enterprise decision support system based on artificial intelligence.

scholarly journals Ethical Problems and Countermeasures of Artificial Intelligence Technology

2021 ◽  
Vol 251 ◽  
pp. 01063
Author(s):  
H Y Li ◽  
J T An ◽  
Y Zhang
Keyword(s):  
Artificial Intelligence ◽  
Human Rights ◽  
Ethical Standards ◽  
Ethical Problems ◽  
The Public ◽  
Artificial Intelligence Technology ◽  
Technological Ethics ◽  
The Times ◽  
Generation Information

The in-depth development of artificial intelligence has brought great benefits and convenience to humankind. However, it also brings about ethical crises such as human rights, responsibility, generation, information, prejudice, which are worthy of our attention. Therefore, we should deepen the scientific and technological ethics under the guidance of Marxism, construct artificial intelligence ethical standards, strengthen the supervision of artificial intelligence, enhance the public ethical concepts, so that artificial intelligence can really cope with the risks and challenges under the guidance of scientific and technological ethics, and grasp the development opportunities of The Times.

scholarly journals Research on the Development of CPA Audit from the Perspective of Artificial Intelligence

2021 ◽  
Vol 251 ◽  
pp. 01056
Author(s):  
Guangxiu Zhou
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
New Technologies ◽  
General Trend ◽  
Emerging Technology ◽  
Internet Technology ◽  
Audit Efficiency ◽  
Artificial Intelligence Technology ◽  
The Times

In the context of the continuous development of Internet technology, big data, Internet of things, cloud computing and other technologies have developed rapidly, and artificial intelligence technology has emerged as the times require. The development of new technologies has promoted social change. As soon as artificial intelligence technology is put forward, it has been widely concerned by the society. Artificial intelligence is like a double-edged sword. As an emerging technology, it is constantly influencing all walks of life, and its application in the field of audit has become the general trend. Under the Background of the rise of artificial intelligence, this paper puts forward the advantages of the combination of artificial intelligence and audit, and analyzes the challenges faced by the development of CPA audit industry, seize the opportunity of the times, actively apply artificial intelligence technology, give practical suggestions for the long-term development of the audit industry, in order to improve the audit efficiency and ensure the audit effect.

scholarly journals Research on the Application of Big Data and Artificial Intelligence Technology in Computer Network

2020 ◽  
Vol 4 (2) ◽  
pp. 21
Author(s):  
Wang Hongfei
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Computer Network ◽  
Social Economy ◽  
Internet Technology ◽  
Network Technology ◽  
Processing Efficiency ◽  
Artificial Intelligence Technology ◽  
The Times ◽  
Application Requirements

With the continuous development of social economy, science and technology are also in continuous progress, relying on the Internet technology of big data era has come in an all-round way. On the basis of the development of cloud computing and Internet technology, artificial intelligence technology has emerged as the times require. It also has more advantages. Applying it to computer network technology can effectively improve the data processing efficiency and quality of computer network technology, and improve the convenience for people’s life and production. This paper studies and analyzes the practical application requirements of computer network, and discusses the application characteristics and timeliness of artificial intelligence technology.

Improving the effectiveness of traditional education based on computer artificial intelligence and neural network system

2020 ◽  
pp. 1-11
Author(s):  
Wenjuan Ma ◽  
Xuesi Zhao ◽  
Yuxiu Guo
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Education Reform ◽  
Traditional Education ◽  
Machine Learning Algorithms ◽  
Local Optimum ◽  
Optimization Strategy ◽  
Fish School ◽  
Tlbo Algorithm ◽  
Neural Network System

The application of artificial intelligence and machine learning algorithms in education reform is an inevitable trend of teaching development. In order to improve the teaching intelligence, this paper builds an auxiliary teaching system based on computer artificial intelligence and neural network based on the traditional teaching model. Moreover, in this paper, the optimization strategy is adopted in the TLBO algorithm to reduce the running time of the algorithm, and the extracurricular learning mechanism is introduced to increase the adjustable parameters, which is conducive to the algorithm jumping out of the local optimum. In addition, in this paper, the crowding factor in the fish school algorithm is used to define the degree or restraint of teachers’ control over students. At the same time, students in the crowded range gather near the teacher, and some students who are difficult to restrain perform the following behavior to follow the top students. Finally, this study builds a model based on actual needs, and designs a control experiment to verify the system performance. The results show that the system constructed in this paper has good performance and can provide a theoretical reference for related research.

Implementasi Algoritma Dijkstra Pada Game Pacman

CCIT Journal ◽  
2019 ◽  
Vol 12 (2) ◽  
pp. 170-176
Author(s):  
Anggit Dwi Hartanto ◽  
Aji Surya Mandala ◽  
Dimas Rio P.L. ◽  
Sidiq Aminudin ◽  
Andika Yudirianto
Keyword(s):  
Artificial Intelligence ◽  
Greedy Algorithm ◽  
Dijkstra Algorithm ◽  
Testing Phase ◽  
A Value ◽  
Route Problem ◽  
Starting Point ◽  
The Greedy Algorithm

Pacman is one of the labyrinth-shaped games where this game has used artificial intelligence, artificial intelligence is composed of several algorithms that are inserted in the program and Implementation of the dijkstra algorithm as a method of solving problems that is a minimum route problem on ghost pacman, where ghost plays a role chase player. The dijkstra algorithm uses a principle similar to the greedy algorithm where it starts from the first point and the next point is connected to get to the destination, how to compare numbers starting from the starting point and then see the next node if connected then matches one path with the path). From the results of the testing phase, it was found that the dijkstra algorithm is quite good at solving the minimum route solution to pursue the player, namely by getting a value of 13 according to manual calculations

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