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Artificial Intelligence in Education: Opportunities and Challenges for Teaching and Learning

Aug 2026 · Kashf Journal of Multidisciplinary Research · Vol 3, pp. 7-12 · 1 citation · 11 references

TL;DR

How AI can contribute to improving teaching effectiveness and learning outcomes while maintaining human-centered educational values is discussed.

Abstract

Artificial Intelligence (AI) has emerged as one of the most influential technological developments transforming modern education systems. The integration of AI-based applications in teaching and learning environments has created new opportunities for personalized education, intelligent tutoring, automated assessment, and improved academic decision-making. AI technologies enable educators to understand individual learning patterns, provide immediate feedback, and design adaptive learning experiences according to students’ needs. In higher education, AI-supported platforms are increasingly being used for virtual assistance, research support, curriculum development, and administrative management. However, the adoption of AI in education also presents significant challenges, including ethical concerns, data privacy issues, technological dependency, digital inequality, and changes in the traditional role of teachers. Effective implementation requires appropriate policies, teacher training, responsible AI governance, and awareness among students and educational institutions. This article explores the opportunities and challenges associated with artificial intelligence in education and discusses how AI can contribute to improving teaching effectiveness and learning outcomes while maintaining human-centered educational values. 

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