What are the Ethical Considerations to Keep in Mind When Integrating New Educational Technologies into the Classroom?: A Case Study of Artificial Intelligence

Abstract

New educational technologies—such as artificial intelligence (AI), generative AI, and wearable monitoring devices—are profoundly reshaping classroom ecologies. While they drive greater precision, personalization, and efficiency in teaching and learning, they also give rise to multiple ethical dilemmas, including data privacy breaches, the entrenchment of algorithmic bias, the alienation of teacher-student relationships, the erosion of student agency, and the blurring of responsibility attribution. Grounded in the fundamental educational mission of "fostering virtue and cultivating persons," this paper dialectically examines four core ethical tensions arising from the integration of new educational technologies into the classroom: efficiency versus humanism, empowerment versus rights, fairness versus bias, and autonomy versus discipline. It systematically distills five overarching ethical principles—rights protection, fairness and justice, humanistic authenticity, agency cultivation, and shared responsibility—and proposes a practical pathway characterized by technology for good, ethics-first design, and multi-stakeholder governance. Finally, this paper provides a critical evaluation of the structural friction and feasibility limits of these principles, aiming to establish a robust moral foundation for the beneficial integration of technology and education within the global landscape.