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Goal-oriented adaptive e-learning

Goal-oriented adaptive e-learning

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Adaptive learning has a lot of potential as it provides personalized information and learning material for learners of various fields and areas. The adaptive e-learning systems are now an ingrained vehicle of modern education. It accommodates an extensive range of learners with varied backgrounds who register with their specific learning objectives. The main challenge in the current situation is to produce adaptive learning paths so that learners can attain their goals successfully. Previous works used static features such as learners' level of knowledge, browsing preferences, grasping ability, and learning styles to determine personalized learning materials.

Chapter Contents:

  • 2.1 Introduction
  • 2.2 Literature survey
  • 2.2.1 State-of-the-art
  • 2.3 Goal-oriented adaptive e-learning system
  • 2.3.1 Goal-oriented course graph structure
  • CG components
  • Database
  • 2.3.2 Registration module
  • 2.3.3 Personalized assessment module
  • Dynamic learning ability
  • Dynamic learning success
  • 2.3.4 ACO-based learning path generation
  • Objectives
  • Time constraint
  • Ant colony optimization
  • 2.3.5 Persistence into database and self-learning
  • 2.4 Experimental results
  • 2.4.1 Data preparation
  • 2.4.2 Evolution of learning path with regular improvement
  • Static learning path
  • Dynamic learning paths
  • 2.4.3 Evolution of learning path with late improvement
  • Static learning path
  • Dynamic learning paths
  • 2.5 Conclusion
  • 2.6 Future scope
  • References

Inspec keywords: computer aided instruction

Other keywords: varied backgrounds; adaptive e-learning systems; specific learning objectives; personalized information; learning material; adaptive learning paths; goal-oriented adaptive e-learning; modern education

Subjects: Computer-aided instruction

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