A Secure Agent Based Intelligent Tutoring System Using FRS

2010 ◽  
Author(s):  
R Gowri ◽  
S Kanmani ◽  
R Induja ◽  
H Hemalatha ◽  
M A Devi
Keyword(s):  
Intelligent Tutoring ◽  
Intelligent Tutoring System ◽  
Tutoring System ◽  
Agent Based

AutoTutor

2012 ◽  
pp. 169-187 ◽  
Author(s):  
Arthur C. Graesser ◽  
Sidney D’Mello ◽  
Xiangen Hu ◽  
Zhiqiang Cai ◽  
Andrew Olney ◽  
...  
Keyword(s):  
Learning Environments ◽  
Speech Act ◽  
Intelligent Tutoring ◽  
Intelligent Tutoring System ◽  
Conversational Agent ◽  
Learning Gains ◽  
Tutoring System ◽  
Agent Based ◽  
Electronic Documents ◽  
Dialogue Management

AutoTutor is an intelligent tutoring system that helps students learn science, technology, and other technical subject matters by holding conversations with the student in natural language. AutoTutor’s dialogues are organized around difficult questions and problems that require reasoning and explanations in the answers. The major components of AutoTutor include an animated conversational agent, dialogue management, speech act classification, a curriculum script, semantic evaluation of student contributions, and electronic documents (e.g., textbook and glossary). This chapter describes the computational components of AutoTutor, the similarity of these components to human tutors, and some challenges in handling smooth dialogue. We describe some ways that AutoTutor has been evaluated with respect to learning gains, conversation quality, and learner impressions. AutoTutor is sufficiently modular that the content and dialogue mechanisms can be modified with authoring tools. AutoTutor has spawned a number of other agent-based learning environments, such as AutoTutor-lite, Operation Aries!, and Guru.

scholarly journals Multi-Agent Based Intelligent Tutoring System Source Code Generation Using MASITS Tool

2010 ◽  
Vol 41 (1) ◽  
pp. 27-36 ◽  
Author(s):  
Egons Lavendelis ◽  
Janis Grundspenkis
Keyword(s):  
Code Generation ◽  
Intelligent Tutoring ◽  
Intelligent Tutoring System ◽  
Source Code ◽  
Requirements Analysis ◽  
General Purpose ◽  
Tutoring System ◽  
Agent Based ◽  
Development Tools ◽  
Multi Agent

Multi-Agent Based Intelligent Tutoring System Source Code Generation Using MASITS ToolSeveral agent development tools have been proposed. At the same time, specific tools for agent based Intelligent Tutoring System (ITS) development do not exist. However, ITSs have some specific characteristics that must be taken into consideration during the development. General purpose Agent Oriented Software Engineering (AOSE) methodologies and therefore development tools do not sufficiently correspond to the characteristics of ITSs. Additionally, the general purpose AOSE methodologies and tools do not allow plugging in domain specific rules and diagrams. Thus, usage of knowledge gained in ITS research during the development process is limited. In the absence of general tools that allow plugging in knowledge from ITS research, a specific tool named MASITS has been developed. The tool supports a specific agent based ITS development methodology named MASITS which takes into consideration specific characteristics of ITSs and integrates knowledge from ITS research. The tool supports all phases of ITS development, starting from requirements analysis and ending with deployment. Requirements analysis and design phases are supported by appropriate diagram creation tools. Implementation is supported by source code generation from diagrams created during the design phase. JADE platform is used for agent implementation. Thus, Java classes for ontology, agents and behaviours are generated from the design diagrams. The paper includes a brief overview of diagrams used in the source code generation and detailed algorithms for source code generation from the diagrams.

The Study on the Multiple Agent-Based Independent and Collaborative Intelligent Tutoring System Model

2013 ◽  
Vol 846-847 ◽  
pp. 1885-1888
Author(s):  
Jian Hua Wang ◽  
Yan Yu ◽  
Jun Jie Guo
Keyword(s):  
Intelligent Tutoring ◽  
Intelligent Tutoring System ◽  
University Teaching ◽  
System Model ◽  
Computer Assisted ◽  
Intelligent Network ◽  
Tutoring System ◽  
Agent Based ◽  
Multiple Agent ◽  
Multi Agent

Over the years, the traditional computer-assisted teaching can not meet the needs of university teaching, the traditional teaching system software, most of the existence of low intelligence, lack of teaching strategies and other shortcomings.Multi-AGENT technology and intelligent tutoring systems is the current research focus in computer intelligence education. Integrating multi-Agent features and multi-Agent application theories in ITS, this paper proposes a multiple Agent-based intelligent network tutoring system design model, detailedly analyzes the functions of each layer in the system, and presents system database category design and system model features.

Sign in / Sign up

Export Citation Format

Share Document