AI Personalized Learning The Hidden Cost to Children's Critical Thinking
DOI:
https://doi.org/10.5281/zenodo.17963271Keywords:
Artificial Intelligence in Education, Personalized Learning, Childhood Development, Filter Bubble Effect, Social-Emotional Learning, Educational Technology, Algorithmic Personalization, Digital LiteracyAbstract
The use of artificial intelligence has transformed childhood education into an opportunity enjoyed by the rich to a resource accessible to millions of people across the world. AI instructors offer individualized education, dynamic courses and limitless patience at the fraction of expenses of traditional tutoring. But there is an invisible paradox to this technological change. The extreme personalization that contributes to the effectiveness of AI in learning will also sabotage vital human development. In this article, the authors investigate three issues: 1) The problem with AI is that it prioritizes what the user likes, which creates filter bubbles that reduce intellectual exploration 2) The problem with AI companionship is that it is not good practice to build resilience since it lacks the constructive challenge and 3) The problem with AI companionship is that it is not good practice to build resilience since it lacks the healthy challenge. Through the analysis of existing studies, practical examples, and theories of developmental psychology, we consider the actual benefits of AI and the price that is not immediately apparent. It has been demonstrated that AI can enhance learning especially whereby the resources are limited. However, when we apply it blindly, we also run the danger of breeding a generation of children who are bigoted, unemotional, and incapable of resolving a conflict. The paper concludes with some recommendations to parents, educators and policymakers.
