The 9th International Conference on Educational Technology Management (ICETM 2026)

The 9th International Conference on Educational Technology Management (ICETM 2026) explores advancements in educational technology management, including learning analytics, instructional design, mobile learning, virtual environments, accessibility, and emerging technologies in education.

Key Topics

• Learning Analytics and Data Science
  • Predictive analytics and early warning systems to identify at-risk students
  • Big data in education: collection, analysis, and interpretation
  • Student profiling and learner analytics
  • Learning analytics for student engagement and retention
  • Machine learning for personalized learning
• Instructional Design and Technology
  • Instructional design models and approaches
  • Designing effective e-learning courses and programs
  • Development and implementation of learning management systems (LMS)
  • Gamification and game-based learning
  • Adaptive and personalized learning technologies
  • Design and development of multimedia learning resources
  • Online and blended learning strategies and best practices
• Technology-Enabled Learning Environments
  • Game-based learning and gamification of education
  • Design and development of virtual and augmented reality environments
  • Personalized and adaptive learning environments
  • Social learning platforms and communities of practice
  • Open educational resources (OER) and their integration with technology-enabled learning environments
• Mobile and Ubiquitous Learning
  • Design and development of mobile learning applications
  • Mobile and ubiquitous learning strategies and best practices
  • Wearable technologies for learning
  • Augmented reality and virtual reality in education
  • Personalization and customization of mobile learning experiences
  • Social media and collaborative learning
• Future of Education and Emerging Technologies
  • Blockchain technology and its potential impact on education
  • Artificial intelligence (AI) and machine learning in education
  • Virtual and augmented reality in education
  • Internet of things (IoT) and connected learning environments
  • Robotics and automation in education
• Inclusive Education and Accessibility
  • Assistive technologies and accessibility in e-learning
  • Design and development of accessible learning resources
  • Inclusive design and universal design for learning
  • Accessibility considerations for different learner types (e.g., visual, auditory, physical, cognitive)
  • Challenges and opportunities in accessible education technology
  • Accessible web design and digital accessibility best practices