You are previewing International Journal of Technology and Educational Marketing (IJTEM) Volume 4, Issue 2.
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International Journal of Technology and Educational Marketing (IJTEM) Volume 4, Issue 2

Book Description

The International Journal of Technology and Educational Marketing (IJTEM) presents, analyzes, shares, and collaborates ideas, experiences, research studies, and cases on the advancements and innovations in technology and educational marketing. Targeting educational planners, administrators, researchers, educational technologists, educational specialists, and marketing educators, IJTEM uses technology and marketing management for sustainable educational development. In addition to full-length research papers, this journal publishes insightful books reviews, case studies on educational institutions and their marketing initiatives across the globe, and technological initiatives taken by institutions for marketing their educational programs.

This issue contains the following articles:

  • Generating Personalized Navigation Learning Path Based on Knowledge Map
  • An Innovative Approach: Electronic Textbooks By CMS Drupal
  • The Distribution Method of the High Resolution Video for a Blackboard Based Lecture
  • Predicting Student Retention by Linear Programming Discriminant Analysis
  • The Emergence of E-Learning Needs in Participatory Re-Design of e-Service
  • Meta-Model Flexibility as a Significant Factor for Increasing End-User Involvement: Experiences from the NEXT-TELL Project
  • Improving Personalization In E-Learning Systems
  • AYSE: Automated System Synthesis Environment

Table of Contents

  1. Cover
  2. Masthead
  3. Call For Articles
  4. Generating Personalized Navigation Learning Path Based on Knowledge Map
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. RELATED WORK
    4. 3. GENERATING NLP
    5. 4. EXPERIMENT
    6. 5. CONCLUSION AND FUTURE
    7. ACKNOWLEDGMENT
    8. REFERENCES
  5. An Innovative Approach:
    1. ABSTRACT
    2. INTRODUCTION
    3. ADVANTAGES OF CONTENT MANAGAMENT SYSTEMS
    4. FEATURES OF CONTENT MANAGEMENT SYSTEMS
    5. FUNCTIONS OF CMS DRUPAL
    6. CREATION OF ELECTRONIC TEXTBOOK IN SPREADSHEETS BY MEANS OF CMS DRUPAL
    7. CONCLUSION
    8. ACKNOWLEDGMENT
    9. REFERENCES
  6. The Distribution Method of the High Resolution Video for a Blackboard Based Lecture
    1. ABSTRACT
    2. INTRODUCTION
    3. VIDEO OF A LECTURE USING A BLACKBOARD
    4. LECTURE RECORDING AND THE PLAYER DESIGN
    5. ENCODING AND RECEIVING THE VIDEO
    6. EVALUATING OUR METHOD
    7. QUESTIONNAIRE ABOUT THE IMAGE QUALITY AND STUDY
    8. CONCLUSION
    9. ACKNOWLEDGMENT
    10. REFERENCES
  7. Predicting Student Retention by Linear Programming Discriminant Analysis
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. MULTIPLE CRITERIA LINEAR PROGRAMMING (MCLP) APPOACH FOR TWO CLASS DISCRIMINANT ANALYSIS
    4. 3. FEATURE SALIENCE DETECTION WITH PEELING
    5. 4. PREPROCCESSING THE STUDENT RETENTION DATA FROM TALLINN UNIVERSITY OF TECHNOLOGY
    6. 5. ANALYZING THE HISTOGRAMS OF BOOTSTRAPPING THE FEATURE SALIENCE-ENABLEPTIMIZATION
    7. 6. CONCLUSION
    8. REFERENCES
  8. The Emergence of E-Learning Needs in Participatory Re-Design of e-Service
    1. ABSTRACT
    2. INTRODUCTION
    3. THE FRAME OF REFERENCE
    4. RESEARCH SETTINGS
    5. FINDINGS
    6. CONCLUSION
    7. ACKNOWLEDGMENT
    8. REFERENCES
  9. Meta-Model Flexibility as a Significant Factor for Increasing End-User Involvement
    1. ABSTRACT
    2. NEXT-TELL PROJECT
    3. USAGE OF META-MODELLING
    4. INITIAL TISL META-MODEL AND TOOL SUPPORT
    5. USER FEEDBACK AND TISL TOOL IMPROVEMENTS
    6. OUTLOOK
    7. REFERENCES
    8. ENDNOTES
  10. Improving Personalization In E-Learning Systems
    1. ABSTRACT
    2. INTRODUCTION
    3. PERSONALIZATION OF CONTENT IN KNOWLEDGE MANAGEMENT SYSTEMS
    4. PERSONALIZATION OF CONTENT IN E-LEARNING SYSTEMS
    5. FINDINGS RECOMMENDATIONS FOR PERSONALISING AND ADAPTING CONTENT IN E-LEARNING SYSTEMS
    6. REFERENCES
    7. ENDNOTES
  11. AYSE:
    1. ABSTRACT
    2. INTRODUCTION
    3. RELATED WORK
    4. HIGH LEVEL SYNTHESIS
    5. TOOL WORK FLOW AND UTILITIES USED
    6. ILLUSTRATIVE EXAMPLE
    7. CONCLUSION AND FUTURE WORK
    8. REFERENCES
  12. Call For Articles