ARCHIVES
Amalgamation artificial intelligence with primary education - student perspectives and challenges
Published Online: July-August 2026
Pages: 39-45
Cite this article
↗ https://www.doi.org/10.59256/ijire.20260704007Abstract
The use of Artificial Intelligence in primary education holds tremendous potential to enhance the learning journey of children through tailored, adaptive and culturally inclusive teaching. AI can definitely help to drive engagement, motivation and creativity from the student perspective, particularly when complemented with emotionally and culturally responsive teaching methods. Yet, factors like digital inequality, digital illiteracy, and privacy issues and ethical considerations of data use impact students' access and attitudes. Moreover, it's a must prerequisite for comprehensive student development that all AI applications also enable social-emotional learning and moral development. To achieve effective integration, it is essential to address gaps in infrastructure and care and include educational policy, as well as champion inclusive, ethical, and developmentally appropriate tools, such as AI, that support primary learners in a variety of settings.
Related Articles
2026
AI-Based Stomach Cancer Detection Using Biomarkers, Medical Images, and Voice Analysis
2026
Hydrogen-Efficient Eco-Driving and Route Planning for Fuel-Cell Electric Vehicles Using Multi-Objective Optimization Under Traffic and Terrain Uncertainty
2026
A Data-Driven Machine Learning Framework for Assessing Patent Commercial Value and Technological Significance
2026
Evaluating Student Academic Performance Through a Benchmark of Fuzzy Reasoning Models
2026
A Hybrid Soft Computing Approach for Managing Uncertainty in Data Analytics
2026
Soft Computing Approaches for Robust Analysis of Imbalanced and Noisy Data
Share Article
Or copy link
*Instagram doesn't support direct link sharing from web. Copy the link and share it in your Instagram story or post.