Issue Details
Analyzing the Future Impact of Artificial Intelligence on Primary Education: Transformations and Challenges
Dr. Subrata Debbarma, Pradip Debbarma, Maharani Hrangkhawl
Page No. : 148-166
ABSTRACT
Artificial intelligence(AI) with its ability to provide individualized learning experiences, encourage inclusive teaching methods, automate administrative duties, and boost student engagement, AI has enormous potential to revolutionize primary education. AI can improve learning outcomes and customize training to each student’s needs through technologies like content recommendation engines, virtual tutors, adaptive learning systems, and AI-assisted assessment platforms. Furthermore, educators are empowered to make data-driven decisions and create more productive learning environments because to AI’s ability to deliver real-time feedback and predictive analytics. This change is not without difficulties, though. Widespread adoption of AI is severely hampered by technological and infrastructure obstacles, especially in rural and underprivileged areas. The entire development of young learners is called into question by pedagogical issues like decreased human interaction and an excessive dependence on algorithms. The integration process is further complicated by instructor opposition to technological change, economic gaps in technology availability, and ethical and privacy concerns regarding student data. Maximizing the advantages of AI in primary education requires addressing these obstacles through inclusive solutions, strong teacher training programs, and ethical standards. Governments and educational institutions should implement a multifaceted policy strategy to enable the successful integration of AI into basic education. Investing in digital infrastructure is essential to guaranteeing fair access to AI tools, particularly in schools with limited resources. Prioritizing teacher professional development that provides practical instruction and ongoing assistance is necessary to help teachers comprehend and successfully apply AI in the classroom. Enforcing data protection laws tailored to the educational setting is necessary to address ethical and privacy concerns and guarantee that student data is gathered and handled appropriately. Governments should also encourage cooperative projects with tech firms and academic institutions to develop pedagogically sound, linguistically inclusive, and context-appropriate AI solutions for elementary school students.
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