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The integration of artificial intelligence (AI) in predicting intellectual development among children signifies a transformative shift in early cognitive assessment, facilitating the implementation of personalized educational strategies. Utilizing advanced algorithms, AI analyses diverse data inputs, including cognitive tests and behavioural patterns, to forecast a child’s intellectual strengths and weaknesses. This proactive approach empowers educators to tailor learning experiences, fostering optimal development. The synergy between AI and early cognitive assessment not only identifies challenges early but also cultivates an educational environment that nurtures each child’s unique abilities, paving the way for a more effective and personalized learning journey.

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AI-Based Intellectual Prediction in Children: An Exploration of Early Cognitive Assessment for Personalized Educational Strategies

  • 会议论文

  • 发表日期：

    2025年

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  • K. Venkata Balamurali Krishna,
  • Peddi Niranjan Reddy,
  • Mruthyunjayam Allakonda,
  • Gujjula Anjareddy,
  • Bimmarolu Shanthi,
  • Renuka Kuntala

摘要

The integration of artificial intelligence (AI) in predicting intellectual development among children signifies a transformative shift in early cognitive assessment, facilitating the implementation of personalized educational strategies. Utilizing advanced algorithms, AI analyses diverse data inputs, including cognitive tests and behavioural patterns, to forecast a child’s intellectual strengths and weaknesses. This proactive approach empowers educators to tailor learning experiences, fostering optimal development. The synergy between AI and early cognitive assessment not only identifies challenges early but also cultivates an educational environment that nurtures each child’s unique abilities, paving the way for a more effective and personalized learning journey.