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AI in e-learning

AI in e-learning

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This current research chapter focuses on the different areas of e-learning where AI can be implemented to make e-learning a better experience. E-learning is a 24/7 platform where learners can gain knowledge at the convenience of their home and timeframe. AI can help such learners with different adaptive technologies in clarifying the doubt, identifying the problem area of the learner and providing them a customized learning solution. Adaptive learning suggested that the learning pace is different for different learners. It must be made sure that the educational supplies and amenities provided must fit the requirement of each learner; else, it will lose its essence. There are different AI features to enhance the learning experience of e-learning. The providers must keep this in mind that the acquired information about learners must be wisely used while implementing the AI technology to e-learning mode so that the blended model can provide an enriching experience to the end-user. Cognitive learning can be a key to constructive, collaborative and contextualized execution of AI-enabled learning processes. Maximization of AI effectiveness as a tool of e-learning can be brought only when it is implemented to overall program pedagogy and is monitored for continuous improvement.

Chapter Contents:

  • 5.1 Artificial intelligence in India
  • 5.2 Artificial intelligence in education
  • 5.3 AI in e-learning
  • 5.4 Analysis and data
  • 5.5 Emphasis on the area that needs improvement in e-learning
  • 5.6 Creating comprehensive curriculum
  • 5.7 Immersive learning
  • 5.8 Intelligent tutoring systems
  • 5.9 Virtual facilitators and learning environment
  • 5.10 Content analytics
  • 5.11 Paving new pathways in the coming decade: AI and e-learning
  • 5.12 Improving accessibility for e-learning by AI
  • 5.13 Artificial intelligence in personalized learning
  • 5.14 Cuts costs for students, eases burden on teachers
  • 5.15 Artificial intelligence in academic connectivity
  • 5.16 Artificial intelligence in crowd service learning
  • 5.17 How to improve registration and completion of e-learning courses by using AI
  • 5.18 Expectations of participant in artificial intelligence in e-learning
  • 5.19 Future of AI in e-learning
  • 5.20 Conclusion
  • References

Inspec keywords: computer aided instruction; artificial intelligence

Other keywords: AI features; blended model; e-learning; learning experience; adaptive learning; AI-enabled learning processes

Subjects: Computer-aided instruction

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