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Chapter 1: A Human Collaborative Online Learning Environment Using Intelligent Agents
Figure 1: Example of an “idea”
Figure 2: Windows used in a mock-up
Figure 3: Agent architecture
Figure 4: Agents’ physical deployment
Figure 5: Agents’ logical deployment
Figure 6: Main classes present in a COLE environment
Figure 7: A case using the Portfolio agent
Figure 8: A case using the Dictionary agent
Chapter 2: Intelligent Agents Supporting Distributed Collaborative Learning
Figure 1: Agent topology
Source: Nwana (1996).
Figure 2: Progressive inquiry model Source: Muukkonen, Hakkarainen, and Lakkala (1999).
Figure 3: Screenshot of the FLE with a facilitator agent
Figure 4: Agent gives advice in the agent message box
Figure 5: Awareness agent provides information
Figure 6: Agent gives asynchronous advice
Figure 7: Integration of facilitator agent and FLE
Figure 8: Architecture of facilitator agent in Mindmap building tool
Chapter 3: Privacy and Trust in Agent-Supported Distributed Learning
Figure 1: LTSA system components
Figure 2: LTSA-based agent architecture for distance learning
Figure 3: Structure of PISA agent
Figure 4: Model of PISA system
Chapter 4: Intelligence in MAS-Based Distributed Learning Environments
Figure 1: NaCoDAE: A CCBR system Source: Adapted from Aha and Maney (1997).
Figure 2: CCBR-based coordinating infrastructure of MAS for DLEs
Figure 3: Architecture of the Collision Avoidance Expert System
Figure 4: MAS-based infrastructure for navigation training
Figure 5: Risk distribution around planned route
Figure 6: Example of recommended course line
Chapter 5: Knowledge Management for Agent-Based Tutoring Systems
Figure 1: Knowledge layer in networked education
Chapter 6: Intelligent Tutoring Systems for Distributed Learning
Figure 1: Components of an intelligent tutoring system
Chapter 7: Integrating Agents and Web Services into Adaptive Distributed Learning Environments
Figure 1: IEEE’s LTSA
Figure 2: Illustration of the main educational components and dependency model of Athabasca University, Canada
Figure 3: The system architecture for course maintenance
Figure 4: Tables for the database
Figure 5: A screen shot of the Web monitoring agent
Chapter 8: A Multiagent Framework for an Adaptive E-Learning System
Figure 1: System architecture
Figure 2: Adaptation of external course content
Chapter 9: A Language for Specifying Agent Systems in E-Learning Environments
Figure 1: The program for student project evaluation
Figure 2: The program for student project evaluation with mobile agents
Figure 3: An e-mail filtering program
Figure 4: An image-transportation program
Figure 5: The program maintaining the Web pages
Figure 6: A conversation schemata for course maintenance
Figure 7: The course material maintenance program
Figure 8: Architecture of ProjEvaMob program
Chapter 10: A VR-Based Virtual Agent System
Figure 1: An integrated e-learning platform based on SCORM and SOAP
Figure 2: A generic layout design of user interface
Figure 3: Preliminary design of the open plaza
Figure 4: Preliminary design of the library
Figure 5: Preliminary design of the faculty office
Figure 6: Preliminary design of the discussion room
Figure 7: Preliminary design of the classroom
Figure 8: A Nondeterministic finite state automata for the virtual campus
Figure 9: The graphical user interface of the declarative specification
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Designing Distributed Learning Environments with Intelligent Software Agents
ISBN: 1591405009
EAN: 2147483647
Year: 2003
Pages: 121
BUY ON AMAZON
Microsoft Windows Server 2003(c) TCP/IP Protocols and Services (c) Technical Reference
Point-to-Point Protocol (PPP)
Internet Group Management Protocol (IGMP)
Internet Protocol Version 6 (IPv6)
Dynamic Host Configuration Protocol (DHCP) Server Service
Windows Internet Name Service (WINS)
Visual C# 2005 How to Program (2nd Edition)
Test-Driving a C# Application
Introduction
readonly Instance Variables
Data Hierarchy
Terminology
C & Data Structures (Charles River Media Computer Engineering)
Control Structures
Address and Pointers
Storage of Variables
Stacks and Queues
Graphs
Web Systems Design and Online Consumer Behavior
Chapter I e-Search: A Conceptual Framework of Online Consumer Behavior
Chapter II Information Search on the Internet: A Causal Model
Chapter IV How Consumers Think About Interactive Aspects of Web Advertising
Chapter VII Objective and Perceived Complexity and Their Impacts on Internet Communication
Chapter XI User Satisfaction with Web Portals: An Empirical Study
Quartz Job Scheduling Framework: Building Open Source Enterprise Applications
Using Persistent JobStores
Listening for Job Events
Creating a Quartz RMI Server
Quartz Clustering Cookbook
Quick Introduction to OSWorkflow
Python Standard Library (Nutshell Handbooks) with
The crypt Module
The grp Module
The msvcrt Module
The nturl2path module
The sched Module
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