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AI-based adaptive personalized content presentation and exercises navigation for an effective and engaging E-learning

Wafaa S Sayed1, Ahmed M Noeman2, Abdelrahman Abdellatif3

  • 1Engineering Mathematics and Physics Department, Faculty of Engineering, Cairo University, Giza, 12613 Egypt.

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Summary

This study introduces an adaptive e-learning platform using VARK (Visual/Aural/Read, Write/Kinesthetic) or gamification for K-12 math. The platform enhances student engagement and learning outcomes, particularly for those initially struggling.

Keywords:
Dynamic learner modelGamificationLearning stylePrimary school mathematicsReinforcement learning

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Area of Science:

  • Educational Technology
  • Artificial Intelligence in Education
  • K-12 Learning

Background:

  • The COVID-19 pandemic highlighted the need for effective e-learning solutions in K-12 education.
  • Traditional e-learning platforms often lack personalization, failing to address diverse learning styles and cognitive levels.

Purpose of the Study:

  • To propose and evaluate an adaptive personalized e-learning platform for K-12 mathematics.
  • To investigate the efficacy of VARK (Visual/Aural/Read, Write/Kinesthetic) and gamification-based adaptive learning strategies.

Main Methods:

  • Development of a dynamic learner model incorporating cognitive, behavioral, and affective adaptation.
  • Implementation of adaptive content presentation (VARK vs. gamification), exercise navigation, and feedback using Deep Q-Network Reinforcement Learning (DQN-RL).
  • Pilot experiment with grade 3 mathematics students to compare pre- and post-test performance.

Main Results:

  • Significant improvements in academic performance and satisfaction were observed in both adaptive learning groups compared to pre-test scores.
  • Students with initially lower performance showed the most substantial gains.
  • The VARK group demonstrated slightly higher improvements and satisfaction, attributed to engaging kinesthetic activities.

Conclusions:

  • The adaptive personalized e-learning platform effectively enhances learning outcomes and student satisfaction in K-12 mathematics.
  • Adaptive strategies, particularly those incorporating VARK elements, show promise for engaging diverse learners and improving educational effectiveness.
  • The study validates the use of DQN-RL for creating dynamic and responsive e-learning environments.