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September 11, 2025International Journal of Environmental SciencesOpen Access

Personalized Learning Systems Using AI Enhancing Adaptive Education

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Authors

DJD R JanardhanaNitte UniversityHAHajira ArifDr. Hari Singh Gour UniversityHUHarshitha Bhat U

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Implication

Experimental analysis shows over 30% increase in student retention and engagement using AI, highlighting adaptive testing and predictive analytics.

Key Points

  • The proposed framework improves student retention and engagement by more than 30%, demonstrating significant educational impact.
  • AI-driven adaptive learning and predictive analytics play crucial roles in tailoring education to individual student needs.
  • Methods include reinforcement learning for optimal pathways and gamification to enhance student motivation and participation.
  • Emotion recognition techniques are utilized to measure student engagement effectively, providing insights into their learning experience.

Cite This Study

Janardhana et al. (2025) studied this question.

synapsesocial.com/papers/68d4172b713b0b5dfea635cdhttps://doi.org/10.64252/ps80c806
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