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Artificial Intelligence Applications in Distance Education

Book Description

Though educational methods such as distance and e-learning have addressed our modern, knowledge-based society’s requirement for innovative approaches to performing educational activities, room for improvement still exists. Artificial Intelligence Applications in Distance Education seeks to examine the efforts made to bridge the gap between student and educator with computer applications. Through an in-depth discussion of applications employed to overcome the problems encountered during educational processes, this premier reference collection aims to enhance teachers’ and students’ educational experiences and improve their knowledge of the literature and the latest developments in educational technologies.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Book Series
  5. Editorial Advisory Board and List of Reviewers
    1. Editorial Advisory Board
    2. LIST OF REVIEWERS
  6. Foreword
  7. Foreword
    1. REFERENCES
  8. Foreword
  9. Preface
    1. CHAPTER 1
    2. CHAPTER 2
    3. CHAPTER 3
    4. CHAPTER 4
    5. CHAPTER 5
    6. CHAPTER 6
    7. CHAPTER 7
    8. CHAPTER 8
    9. CHAPTER 9
    10. CHAPTER 10
    11. CHAPTER 11
    12. CHAPTER 12
    13. CHAPTER 13
    14. CHAPTER 14
    15. CHAPTER 15
    16. CHAPTER 16
  10. Acknowledgment
  11. Chapter 1: On the Intersection of Artificial Intelligence and Distance Education
    1. ABSTRACT
    2. INTRODUCTION
    3. FOUNDATIONS
    4. CURRENT TRENDS ON APPLICATIONS OF INTELLIGENT DISTANCE EDUCATION SOLUTIONS
    5. IDEAS ON FUTURE POSSIBILITIES
    6. CONCLUSION
    7. REFERENCES
    8. ADDITIONAL READING
    9. KEY TERMS AND DEFINITIONS
  12. Chapter 2: Global Knowledge Networking (GKN) with Utilizing of Digital Libraries
    1. ABSTRACT
    2. INTRODUCTION
    3. DIGITAL LIBRARIES
    4. CHARACTERISTICS OF DIGITAL LIBRARIES
    5. FUNCTIONS OF DIGITAL LIBRARIES
    6. THE WORKING CONTENT OF DIGITAL LIBRARIES
    7. THE SERVICE MODE OF THE DIGITAL LIBRARIANS
    8. DIGITAL LIBRARIAN’S INTERFACE FUNCTIONS AND ROLES IN THE MANAGEMENT OF DLs
    9. KNOWLEDGE MANAGEMENT
    10. KNOWLEDGE MANAGEMENT AND DIGITAL LIBRARIES
    11. KNOWLEDGE SHARING SYSTEMS AND DIGITAL LIBRARIES
    12. ARTIFICIAL INTELLIGENCE
    13. INTELLIGENT AGENT AND INTELLIGENT MANAGEMENT NETWORKS
    14. INTELLIGENT AGENT STRUCTURE
    15. AI AND DIGITAL LIBRARIES
    16. PROPOSING THE MODEL FOR GLOBAL KNOWLEDGE NETWORKING BASED ON DLs AND AI
    17. CONCLUSION
    18. REFERENCES
    19. ADDITIONAL READING
    20. KEY TERMS AND DEFINITIONS
    21. ENDNOTES
  13. Chapter 3: Intelligent Educational Support System
    1. ABSTRACT
    2. INTRODUCTION
    3. INTELLIGENT SYSTEMS
    4. BACKGROUND
    5. THE PURPOSE OF STUDY
    6. INTELLIGENT SYSTEM
    7. FINDINGS
    8. CONCLUSION AND RECOMMENDATIONS
    9. REFERENCES
    10. ADDITIONAL READING
    11. KEY TERMS AND DEFINITIONS
  14. Chapter 4: Designing a Multi-Agent System for Improving the Accounting E-Learning
    1. ABSTRACT
    2. INTRODUCTION
    3. COMPUTER-BASED TRAINING IN ACCOUNTING
    4. INTELLIGENT AGENTS, MULTI-AGENT SYSTEMS, AND PEDAGOGICAL AGENTS
    5. MULTI-AGENT SYSTEM FOR ACCOUNTING E-LEARNING
    6. CONCLUSION AND DIRECTIONS FOR FUTURE RESEARCH
    7. REFERENCES
    8. ADDITIONAL READING
    9. KEY TERMS AND DEFINITIONS
    10. ENDNOTES
  15. Chapter 5: Intelligent Questioning System Based on Fuzzy Logic
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. RELATED MODELS
    5. THE DEVELOPED SYSTEM: IQS
    6. WORKING MECHANISM
    7. CONCLUSION
    8. REFERENCES
    9. ADDITIONAL READING
    10. KEY TERMS AND DEFINITION
  16. Chapter 6: Review and Proposal for Intelligent Distance Education
    1. ABSTRACT
    2. INTRODUCTION
    3. EVALUATION OF INTELLIGENT DISTANCE EDUCATION STUDIES IN LITERATURE
    4. PROPOSED INTELLIGENT DISTANCE EDUCATION ARCHITECTURE FOR MEHMET AKIF ERSOY UNIVERSITY
    5. CONCLUSION AND FUTURE WORKS
    6. REFERENCES
    7. ADDITIONAL READING
    8. KEY TERMS AND DEFINITIONS
  17. Chapter 7: A Web-Based Intelligent Educational Laboratory System for Forecasting Chaotic Time Series
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. SINGLE MULTIPLICATIVE NEURON SYSTEM
    5. INTELLIGENT WATER DROPS (IWDS) ALGORITHM
    6. FORECASTING APPROACH VIA SINGLE MULTIPLICATIVE NEURON (SMN) SYSTEM TRAINED BY INTELLIGENT WATER DROPS (IWDS) ALGORITHM
    7. A WEB-BASED INTELLIGENT EDUCATIONAL LABORATORY SYSTEM FOR FORECASTING CHAOTIC TIME SERIES
    8. EVALUATION
    9. CONCLUSION AND FUTURE WORK
    10. REFERENCES
    11. ADDITIONAL READING
    12. KEY TERMS AND DEFINITIONS
  18. Chapter 8: Expert Systems in Distance Education
    1. ABSTRACT
    2. INTRODUCTION
    3. FEATURES AND STRUCTURE OF EXPERT SYSTEMS
    4. EXPERT SYSTEM APPLICATIONS IN EDUCATION
    5. EXPERT SYSTEM APPLICATIONS IN DISTANCE EDUCATION
    6. CONCLUSION AND RECOMMENDATIONS
    7. REFERENCES
    8. ADDITIONAL READING
    9. KEY TERMS AND DEFINITIONS
  19. Chapter 9: For an Intelligent E-Learning
    1. ABSTRACT
    2. INTRODUCTION
    3. GENERAL PERSPECTIVE
    4. A MANAGERIAL MODEL FOR ARTIFICIAL INTELLIGENCE SUPPORTED E-LEARNING CONTENT FLOW
    5. AN EXAMPLE TIMETABLE ON APPLICATION OF THE MODEL
    6. CONCLUSION AND FUTURE WORK
    7. REFERENCES
    8. ADDITIONAL READING
    9. KEY TERMS AND DEFINITIONS
  20. Chapter 10: Resolving the Paradox of Overconfident Students with Intelligent Methods
    1. ABSTRACT
    2. INTRODUCTION
    3. PROBLEM BACKGROUND: WEAKNESS OF STATISTICAL QUALITY ASSESSMENT
    4. PROPOSED DECISION
    5. SOLUTIONS AND RECOMMENDATIONS
    6. FUTURE RESEARCH DIRECTIONS: AI FOR SYLLABUS DEVELOPMENT
    7. CONCLUSION
    8. REFERENCES
    9. ADDITIONAL READING
    10. KEY TERMS AND DEFINITIONS
  21. Chapter 11: Design and Development of an Expert System Shell Program and Evaluation of Its Effectiveness
    1. ABSTRACT
    2. INTRODUCTION
    3. EXPERT SYSTEMS
    4. DESIGN AND WORKING PRINCIPLES OF SHELL PROGRAM
    5. EVALUATION OF THE EFFECTIVENESS OF SHELL PROGRAM
    6. CONCLUSION AND FUTURE WORK
    7. REFERENCES
    8. ADDITIONAL READING
    9. KEY TERMS AND DEFINITIONS
  22. Chapter 12: An Example Application of an Artificial Intelligence-Supported Blended Learning Education Program in Computer Engineering
    1. ABSTRACT
    2. INTRODUCTION
    3. BLENDED LEARNING AND ITS COMPONENTS
    4. THE APPLICATION OF BLENDED LEARNING IN COMPUTER ENGINEERING
    5. ARTIFICIAL INTELLIGENCE PROGRAM FOR TEACHING C PROGRAMMING
    6. EVALUATION
    7. CONCLUSION
    8. REFERENCES
    9. ADDITIONAL READING
    10. KEY TERMS AND DEFINITIONS
  23. Chapter 13: Agent-Based Distributed Intelligent Tutoring System Using Case-Based Reasoning
    1. ABSTRACT
    2. INTRODUCTION
    3. LITERATURE REVIEW
    4. OBJECTIVES AND ARCHITECTURE OF THE AGENT-BASED DISTRIBUTED ITS USING CBR
    5. STRATEGY OF THE PEDAGOGIC MODULE
    6. STUDENT MODELING IN AGENT BASED DISTRIBUTED ITS USING CASE BASED REASONING
    7. WORKING OF AGENT BASED DISTRIBUTED ITS USING CBR
    8. CONCLUSION AND FUTURE WORKS
    9. REFERENCES
    10. ADDITIONAL READING
    11. KEY TERMS AND DEFINITIONS
  24. Chapter 14: Evaluation of Clustering Methods for Adaptive Learning Systems
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. EVALUATION OF THE MAIN CLUSTERING METHODS
    5. FUTURE RESEARCH DIRECTIONS
    6. CONCLUSION
    7. REFERENCES
    8. ADDITIONAL READING
    9. KEY TERMS AND DEFINITIONS
  25. Chapter 15: Evolutionary Approach for Automatic and Dynamic Modeling of Students' Learning Styles
    1. ABSTRACT
    2. INTRODUCTION
    3. RELATED WORKS
    4. EVOLUTIONARY ALGORITHMS
    5. AUTOMATICALLY DETECTING LEARNING STYLES
    6. TESTING AND VALIDATING THE PROPOSED APPROACH
    7. CONCLUSION AND FUTURE WORKS
    8. REFERENCES
    9. ADDITIONAL READING
    10. KEY TERMS AND DEFINITIONS
  26. Chapter 16: Ideas on the Future of Intelligent Web-Based E-Learning
    1. ABSTRACT
    2. INTRODUCTION
    3. FOUNDATIONS
    4. IDEAS ON THE FUTURE OF INTELLIGENT WEB-BASED E-LEARNING
    5. CONCLUSION
    6. REFERENCES
    7. ADDITIONAL READING
    8. KEY TERMS AND DEFINITIONS
  27. Compilation of References
  28. About the Contributors