scholarly journals Design of Higher Education System Based on Artificial Intelligence Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Jun Li ◽  
Jiye Li ◽  
Yazhi Yang ◽  
Zhaoxu Ren
Keyword(s):  
Artificial Intelligence ◽  
Higher Education ◽  
Data Mining ◽  
Education System ◽  
Agent Technology ◽  
Running Speed ◽  
Teaching Mode ◽  
Teaching System ◽  
Higher Education System ◽  
Artificial Intelligence Technology

In order to solve the problems of low security and response efficiency and slow running speed of the current designed higher education system, a higher education system based on artificial intelligence technology is designed. Firstly, according to the characteristics of artificial intelligence technology, intelligent teaching system, agent technology, and data mining technology are introduced in detail. Then it analyzes the overall and detailed functional requirements of the system and adaptively generates knowledge content and teaching mode suitable for students’ ability and personality by using intelligent reasoning ability and the collection and analysis of students’ personality characteristics. Through data mining of intelligent teaching system, the decision tree about curriculum is obtained, and the students’ cognitive ability is calculated. Based on the theory of cognitive science, using the “double master” teaching mode, combined with agent technology and intelligent teaching system, the system function is divided into six modules. Through the design of database structure and data table, the design of higher education system based on artificial intelligence technology is realized. The experimental results show that the proposed method has high security and response efficiency, fast running speed, and good teaching effect.

scholarly journals Study on the Training Mode of Accounting Talents under the Background of Artificial Intelligence

2019 ◽  
Vol 3 (3) ◽  
pp. 91
Author(s):  
Cuizhen Peng
Keyword(s):  
Artificial Intelligence ◽  
Economic Development ◽  
Technology Development ◽  
Rapid Development ◽  
Teaching Mode ◽  
Teaching System ◽  
Social And Economic Development ◽  
Training Mode ◽  
Artificial Intelligence Technology ◽  
And Training

<p>Now the speed of social and economic development is faster and faster, the development of science and technology is also fast and the speed of artificial intelligence technology development quickens. All of these promote the rapid development and progress of accounting. This paper tries to analyze and study the education and training mode of accounting talents under the premise of artificial intelligence, put forward the goal of training accounting talents, promote the integrity of accounting teaching system, and explore the optimization and improvement of accounting teaching mode.</p>

Design and Implement of Computer Aided Instruction System for Statistical Quality Control Based on Artificial Intelligence Technology

2011 ◽  
Vol 138-139 ◽  
pp. 920-925 ◽  
Author(s):  
Chun Lian Wang
Keyword(s):  
Artificial Intelligence ◽  
Quality Control ◽  
Statistical Quality Control ◽  
Computer Aided Instruction ◽  
Teaching System ◽  
Instruction System ◽  
Statistical Quality ◽  
Expert Teaching ◽  
Computer Aided ◽  
Artificial Intelligence Technology

In order to design and implement a computer aided instruction system; the application of the artificial intelligence technology is studied in depth using statistical quality control as example. Firstly the statistical quality control teaching was analyzed. And then the design ideas of the computer aided instruction system are put forward. And then the structure of the expert teaching system is designed. And then the interacting ways of the expert system was analyzed. Finally the application of the expert teaching system was summarized.

scholarly journals Computer Assisted Instruction System under Artificial Intelligence Technology

2021 ◽  
Vol 16 (05) ◽  
pp. 4
Author(s):  
Jingjing Zhang
Keyword(s):  
Artificial Intelligence ◽  
Online Teaching ◽  
Teaching Quality ◽  
Computer Assisted Instruction ◽  
Computer Assisted ◽  
Functional Requirements ◽  
Teaching System ◽  
Time Space ◽  
Artificial Intelligence Technology ◽  
Assisted Instruction

In order to promote the development of intelligent teaching system, artificial intelligence technology is combined with computer assisted instruction (CAI) system to produce intelligent CAI (ICAI), and the design of ICAI is studied in order to facilitate the application and implementation of intelligent teaching system. First, there is an introduction of the basic concepts, related theories, and implementation principles of ICAI. Then, the requirements of ICAI are analyzed in detail on the basis of studying the relevant technologies required by ICAI, including the functional and non-functional requirements. The subsystem is set based on the different needs of the target users (administrator, teacher, and student users). Finally, the general and functional structure of ICAI are designed, and there are tests for the system functions. The results show that the system takes Java Server Pages (JSP) as the development language, Struts2 as the technical framework, and SQL Server 2008 as the back-end database, which realizes a teaching platform mainly for teachers, students, and administrators. After testing, the overall operation of the system is good, and the functional test results of the login module, homework release, and learning resource upload meet the software design requirements. The response time of the system prolongs, the number of users who can’t successfully log in grows, and the utilization of server central procession unit (CPU) and memory utilization both increase, which are caused by the increasing number of concurrent users. The results indicate that the combination of CAI and artificial intelligence (AI) technology can meet students’ online teaching demands, break the time-space limitation of traditional teaching, and provide important reference value for the reform of teaching mode and the improvement of teaching quality

scholarly journals A Study of Automatic Judgment of Food Color and Cooking Conditions with Artificial Intelligence Technology

Processes ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 1128
Author(s):  
Chern-Sheng Lin ◽  
Yu-Ching Pan ◽  
Yu-Xin Kuo ◽  
Ching-Kun Chen ◽  
Chuen-Lin Tien
Keyword(s):  
Artificial Intelligence ◽  
Image Processing ◽  
Color Space ◽  
Color Difference ◽  
Color Space Conversion ◽  
Before And After ◽  
Artificial Intelligence Technology ◽  
Artificial Intelligence Algorithm ◽  
Time Image ◽  
Cooking Conditions

In this study, the machine vision and artificial intelligence algorithms were used to rapidly check the degree of cooking of foods and avoid the over-cooking of foods. Using a smart induction cooker for heating, the image processing program automatically recognizes the color of the food before and after cooking. The new cooking parameters were used to identify the cooking conditions of the food when it is undercooked, cooked, and overcooked. In the research, the camera was used in combination with the software for development, and the real-time image processing technology was used to obtain the information of the color of the food, and through calculation parameters, the cooking status of the food was monitored. In the second year, using the color space conversion, a novel algorithm, and artificial intelligence, the foreground segmentation was used to separate the vegetables from the background, and the cooking ripeness, cooking unevenness, oil glossiness, and sauce absorption were calculated. The image color difference and the distribution were used to judge the cooking conditions of the food, so that the cooking system can identify whether or not to adopt partial tumbling, or to end a cooking operation. A novel artificial intelligence algorithm is used in the relative field, and the error rate can be reduced to 3%. This work will significantly help researchers working in the advanced cooking devices.

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