Intelligent Educational Machines

by Nedjah, Nadia; Mourelle, Luiza De Macedo; Borges, Mario Neto; Almeida, Nival Nunes

• ISBN13: 9783540449201
• ISBN10: 3540449205
• Format: Hardcover
• Copyright: 2007-04-03
• Publisher: Springer Verlag

Summary

The Artificial Intelligence and Education is an ever-growing research area. It uses artificial intelligence tools and techniques to provide the foundations for intelligent tutoring and learning systems. The main concern is taking advantage of the computer-based technology to examine, discuss and fosters the processes of cognition, learning, teaching and related subjects. It supports and develops innovative teaching methods and learning systems. The goal of this volume has been to offer a wide spectrum of sample works developed in leading research throughout the world about innovative methodologies of artificial intelligence in education and foundations of engineering educational intelligent systems as well as application and interesting experiences in the field. The book should be useful both for beginners and experienced researchers interested in applying computational intelligence to the educational process.

Table of Contents

A Framework for Building a Knowledge-Based System for Curriculum Design in Engineering	p. 1
Introduction	p. 1
Rational	p. 6
Aims	p. 6
The Framework	p. 7
Alternative Approaches to Knowledge Engineering	p. 7
Methodology	p. 9
Domain Delineation	p. 9
Subdomain Investigation	p. 11
Verification, Validation and Acceptance	p. 12
Knowledge Acquisition in Curriculum Development	p. 13
The Specification of the Domain	p. 13
Definition of the Inputs and Outputs for the Subdomains	p. 14
Software Architecture	p. 14
Conclusions	p. 20
References	p. 21
A Web-based Authoring Tool for Intelligent Tutors: Blending Assessment and Instructional Assistance	p. 23
Introduction	p. 23
The Extensible Tutor Architecture	p. 24
Curriculum Unit	p. 25
Problem Unit	p. 25
Strategy Unit	p. 27
Logging Unit	p. 28
System Architecture	p. 29
Methods	p. 29
The Assistment Builder	p. 31
Purpose of the Assistment Builder	p. 31
Assistments	p. 32
Web Deployment	p. 33
Features	p. 33
Methods	p. 35
Results and analysis	p. 36
Future Work	p. 37
Content Development and Usage	p. 38
Content Development	p. 38
Database Reporting	p. 41
Analysis of data to determine whether the system reliably predicts MCAS performance	p. 41
Analysis of data to determine whether the system effectively teaches	p. 44
Experiments	p. 45
Survey of students' attitudes	p. 47
Summary	p. 47
References	p. 47
Alife in the Classrooms: an Integrative Learning Approach	p. 51
An Integrative Model of Learning	p. 51
An Educational Application of Cognitive Sciences	p. 55
Alife as an Unified Scientific Enterprise	p. 58
L-Systems as Keytool for e-Science	p. 60
Introducing L-systems	p. 60
A cheap and easy way to use L-systems	p. 63
How to use LSE: easy programming	p. 65
Easy results and advanced possibilities	p. 66
What are the objectives of creating images similar to the previous one?	p. 67
Learning by doing	p. 69
Summary	p. 71
References	p. 72
Pedagogic Strategies Based on the Student Cognitive Model Using the Constructivist Approach	p. 77
Introduction	p. 77
Theoretical basis	p. 79
Cognitive structures	p. 79
Structures equilibration	p. 80
Disturbances, regulations and compensations	p. 80
Possibility and necessity	p. 81
Conducts, grasp of consciousness, action and concept	p. 82
AMPLIA	p. 84
Domain Agent	p. 85
Learner Agent	p. 86
Pedagogic Strategies	p. 88
Creating strategies and tactics	p. 88
Tactics selection	p. 91
Tracking the use of strategies in AMPLIA	p. 95
AMPLIA as medical learning software	p. 98
Summary	p. 100
References	p. 101
Tracing CSCL Processes	p. 103
Introduction	p. 103
Related work	p. 105
Our model	p. 106
Our experience	p. 107
The tool	p. 108
Discussion	p. 111
Summary	p. 112
References	p. 114
Formal Aspects of Pedagogical Negotiation in AMPLIA System	p. 117
Introduction	p. 118
Theoretical Basis	p. 119
The Object of Negotiation in AMPLIA	p. 122
The Negotiation Processes	p. 123
The Role of AMPLIA's Agents in the Pedagogical Negotiation	p. 126
Formalization of PN Process	p. 127
Current Agent Communication Frameworks	p. 127
The New Formal Framework	p. 128
Shared Knowledge and Communication Space	p. 130
Formalization of Initial and Final Conditions of Negotiation	p. 132
Agent Interaction and Negotiation Space	p. 135
Representation of Probabilistic Knowledge	p. 137
Pedagogical Negotiation and the Real World	p. 139
Summary	p. 143
References	p. 144
A New Approach to Meta-Evaluation Using Fuzzy Logic	p. 147
Introduction	p. 148
Meta-evaluation	p. 149
The Concept	p. 149
The Relevance	p. 151
Traditional Techniques	p. 152
Fuzzy Logic: Basic Concepts	p. 153
The proposed methodology	p. 156
Introduction	p. 156
The Instrument	p. 156
The Inference System	p. 157
Casestudy	p. 161
Discussion	p. 162
Conclusion	p. 164
References	p. 164
Bibliography	p. 164
Evaluation of Fuzzy Productivity of Graduate Courses	p. 167
Introduction	p. 167
Productivity Evaluation	p. 170
Randomization of inputs and outputs	p. 174
Application of Correlation Estimates	p. 175
DEA and Malmquist Indices	p. 177
Evaluation of Productivity in Production Engineering Courses	p. 177
Conclusion	p. 181
References	p. 182
Index	p. 183
Author Index	p. 184
Reviewer List	p. 185
Table of Contents provided by Publisher. All Rights Reserved.