International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Informative Article | Social Science | Volume 15 Issue 5, May 2026 | Pages: 185 - 187 | India


AI and Smart Learning in Teacher Education

Diya Kataria, Bhavi Mehta, Pratiksha Chopra, Esha Thandani

Abstract: The rapid growth of Artificial Intelligence (AI) and Smart Learning Systems is creating a major shift in teacher education. For a long time, teacher training relied on fixed and traditional methods where all learners were taught in the same way, without considering individual differences in learning styles and pace. Today, smart technology enables a more personalized, interactive, and engaging approach to learning. This research paper examines how these digital tools are being systematically integrated into modern teacher training programs and how they are transforming the educational landscape. One of the most significant developments is the use of AI-powered virtual classrooms. These platforms allow student teachers to practice teaching, manage student behaviour, and experiment with different teaching methods in a safe and controlled environment before entering real classrooms. Smart systems also analyse a teacher's specific strengths and weaknesses to recommend highly personalized training modules, thereby improving efficiency and effectiveness. Furthermore, by using AI for tasks such as grading, lesson planning, and performance tracking, teachers save valuable time and can focus more on mentoring, creativity, and student interaction. However, the integration of AI into teacher education also presents several challenges. Issues such as algorithmic bias may result in unfair treatment of learners, while concerns regarding data privacy and security continue to grow. Additionally, excessive reliance on automated tools may reduce teachers' independent thinking and creative problem-solving abilities. Ultimately, this paper concludes that AI should not replace human teachers but act as a collaborative assistant. For successful implementation, teacher education programs must strike a balance-equipping educators with technological skills while maintaining human values such as empathy, ethics, and creativity at the core of education.

Keywords: Artificial Intelligence, Virtual Classrooms, Algorithmic Bias, Problem Solving, Collaborative Assistant, Teacher Education

How to Cite?: Diya Kataria, Bhavi Mehta, Pratiksha Chopra, Esha Thandani, "AI and Smart Learning in Teacher Education", Volume 15 Issue 5, May 2026, International Journal of Science and Research (IJSR), Pages: 185-187, https://www.ijsr.net/getabstract.php?paperid=SR26501102230, DOI: https://dx.dx.doi.org/10.21275/SR26501102230

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