Artificial Intelligence for Secondary Education

Authors

  • Sujata Panda O.P. Jindal University, Chhattisgarh (INDIA)
  • Priyanka Kumari Maa Vindhyavashini College of Education, Jharkhand (INDIA)

DOI:

https://doi.org/10.62431/0tatct63

Keywords:

Adaptability, Diverse Learning needs, Computational thinking, Neural networks, Facial recognition systems, Global workforce

Abstract

Artificial Intelligence (AI) is increasingly transforming secondary education by reshaping teaching practices, learning experiences, assessment methods, and educational governance. Positioned at a critical stage of cognitive, social, and emotional development, secondary education plays a vital role in preparing learners for higher education, employment, and responsible citizenship in an AI-driven society. This chapter examines the integration of Artificial Intelligence in secondary education from a comprehensive perspective, highlighting AI’s dual role as both an instructional tool and a subject of learning. As an educational tool, AI enables personalized learning, intelligent tutoring, automated assessment, learning analytics, and virtual laboratories, addressing learner diversity and enhancing instructional efficiency. As a subject of study, AI education fosters computational thinking, problem-solving skills, ethical awareness, and digital literacy, empowering students to critically engage with intelligent systems that increasingly shape everyday life.
The chapter further explores the rationale for AI integration, including changing workforce demands, diverse learning needs, digital citizenship requirements, and teacher support. It emphasizes the evolving role of teachers as facilitators, mentors, and ethical guides in AI-enhanced classrooms, underscoring the importance of professional development and AI literacy. Ethical, social, and psychological considerations—such as data privacy, bias, fairness, overdependence on technology, and student well-being—are critically analyzed to ensure responsible and human-centered implementation. Additionally, the chapter discusses key challenges related to infrastructure, cost, policy gaps, and resistance to change, while outlining future prospects such as emotion-aware AI, interdisciplinary learning, AI-driven career guidance, and ethical AI education. Overall, the chapter argues that when integrated thoughtfully and ethically, Artificial Intelligence can make secondary education more inclusive, adaptive, and future-ready, while preserving the core human values of equity, empathy, and meaningful learning.

 

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Published

2025-12-19

How to Cite

Artificial Intelligence for Secondary Education. (2025). IARS’ Knowledge Planet, 979-8-25-326897-1. https://doi.org/10.62431/0tatct63

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