Design of the Intelligent Computer Assisted Instruction System

2014 ◽  
Vol 687-691 ◽  
pp. 2565-2568
Author(s):  
Shao Hua Nie

With the introduction of artificial intelligence technology, Intelligent Computer Assisted Instruction (ICAI) not only overcomes many weaknesses of the traditional CAI. But also greatly enhance and improve the teaching quality and efficiency. In this paper, it firstly analysis and study the characteristics and structure of the ICAI, then proposed the method to achieve ICAI system.

Author(s):  
Jingjing Zhang

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


1992 ◽  
Vol 31 (03) ◽  
pp. 193-203 ◽  
Author(s):  
B. Auvert ◽  
V. Gilbos ◽  
F. Andrianiriana ◽  
W. E. Bertrand ◽  
X. Emmanuelli ◽  
...  

Abstract:This paper describes an intelligent computer-assisted instruction system that was designed for rural health workers in developing countries. This system, called Consult-EAO, includes an expert module and a coaching module. The expert module, which is derived from the knowledge-based decision support system Tropicaid, covers most of medical practice in developing countries. It allows for the creation of outpatient simulations without the help of a teacher. The student may practice his knowledge by solving problems with these simulations. The system gives some initial facts and controls the simulation during the session by guiding the student toward the most efficient decisions. All student answers are analyzed and, if necessary, criticized. The messages are adapted to the situation due to the pedagogical rules of the coaching module. This system runs on PC-compatible computer.


1994 ◽  
Vol 33 (04) ◽  
pp. 433-445 ◽  
Author(s):  
D. Fontaine ◽  
C. Riou ◽  
C. Jacquelinet ◽  
P. Le Beux

Abstract:The use of computers in the field of medical education is common. Our purpose is to present a Computer-Assisted Instruction system which has been developed over ten years at the University of Compiegne and the University of Rennes Medical School. This system can be used to help the student to solve clinical cases by analyzing and critiquing their answers and by using a knowledge base which has been previously structured in a rule network. It is an intelligent Computer-Assisted Instruction system comprising an author module, a pedagogical module and a student module. The CAI system can be used as a simulation model for any type of diagnostic or therapeutic problem. In this paper we present the author and pedagogical module which have been built using our previous work on intelligent computer-assisted instruction systems.


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