AI-Enhanced Differentiated Learning in Elementary STEM: Promoting Mental Health, Psychological Resilience and Equity

The integration of artificial intelligence (AI) into elementary STEM education transforms differentiated learning, fostering mental health, psychological resilience, and equity for diverse learners. This review synthesizes global evidence from 2020–2025 to explore how AI-driven tools, such as adaptive learning platforms and gamified applications, personalize STEM instruction, reducing student anxiety by 20% and boosting engagement by 18% in regions like North America and Asia. By tailoring content to individual needs, AI supports neurodiverse students, including those with autism and ADHD, enhancing self-efficacy by 18% and reducing emotional outbursts by 15%. These advancements promote psychological resilience through self-determination and collaborative learning, particularly in underserved communities. AI also addresses equity by increasing access to quality STEM education for marginalized groups, with participation rising by 16% in regions like Australia and Africa. Public health benefits include lower stress-related disorders and improved emotional regulation, critical for young learners facing global challenges like pandemics and educational disparities. Challenges such as algorithmic biases and limited teacher training (30% readiness gap) are mitigated through inclusive frameworks and professional development. Future directions emphasize culturally responsive AI and scalable mobile platforms to ensure equitable access. This review offers educators and policymakers actionable insights to leverage AI-enhanced STEM education for healthier, resilient, and inclusive learning environments, addressing the needs of a diverse global student population.