ARTIFICIAL INTELLIGENCE IN SCHOOL SECURITY: OPPORTUNITY AND CHALLENGES

Abstract

This study investigates artificial intelligence in school security: opportunity and challenges.
Drawing insights from a comprehensive review of existing literature and framed within the
context of Self-determination Theory (SDT), the research explores the multifaceted contributions
of AI across various stages of curriculum development and execution. The study reveals that AI
technologies, including machine learning and natural language processing, play a pivotal role in
enhancing educational practices. Notably, AI facilitates personalized learning experiences,
automates assessments, and optimizes curriculum design by analyzing extensive datasets on
student performance. The findings underscore the potential of AI to address scalability issues in
education, offering a dynamic approach to curriculum development that considers individual
learner needs and ensures the delivery of high-quality educational content. Moreover, the study
identifies future prospects for AI in education, envisioning advancements in adaptive learning
systems, intelligent tutoring, and expanded applications of AI-driven virtual assistants. Despite
the positive impacts, the research acknowledges challenges, such as ethical concerns and the
imperative for workforce re-skilling.