A Preliminary Investigation into the Challenges of AI Technology in Education and Its Practical Recommendations
Dr. Aanchal Tehlan
Maharaja Surajmal Institute, C – 4, Janakpuri, New Delhi - 110010
Abstract
Artificial Intelligence (AI) has emerged as a transformative force in education, offering opportunities to personalize learning, enhance student engagement, and optimize administrative tasks. AI enables tailored learning experiences by adapting to individual student needs and providing educators with data-driven insights to monitor progress. Additionally, AI reduces educators’ workload through automated grading and feedback, allowing them to focus more on fostering meaningful interactions with students. Despite its potential, the implementation of AI in education faces significant challenges. Key issues include unequal access to technology, low levels of digital literacy among teachers and students, concerns over data privacy and security, and the high cost of adopting and maintaining AI systems. Furthermore, resistance to change from educators accustomed to traditional methods poses an additional barrier to AI integration. Addressing these challenges is essential to fully realize the benefits AI can bring to education. To overcome these obstacles, this study proposes practical recommendations, including strengthening technological infrastructure, enhancing teacher training, enforcing robust data protection policies, and fostering collaboration between educational institutions and AI developers. A phased approach to implementation is also emphasized to minimize resistance and ensure the effective adoption of AI tools. Curriculum alignment with AI technologies is highlighted as a critical step to maximize relevance and learning outcomes. This study contributes to the growing body of knowledge on AI in education by addressing implementation challenges and offering actionable solutions. By adopting these recommendations, stakeholders can create an inclusive, efficient, and adaptable educational environment. The findings aim to guide policymakers, educators, and institutions in leveraging AI to bridge educational gaps and prepare students for success in the digital era.
Keywords: Artificial Intelligence; Education Technology; Personalized Learning; Digital Literacy; Data Privacy; Teacher Training; Inclusive Education; AI Integration; Educational Challenges; Digital Transformation in Education
