关键词: 智慧教育, 人工智能, 数据安全

Abstract:

Artificial Intelligence (AI) has powerfully driven the transformation and modernization of smart education in higher education. Nevertheless, the rapid proliferation of intelligent technologies has brought prominent data security challenges, which extend far beyond technical defense issues and profoundly affect the stability of teaching operations, the protection of teachers and students’ legitimate rights and interests, and the sustainable innovation of smart education. Focusing on data security practices in university smart education, this paper examines the current construction status and practical dilemmas of smart education, and systematically analyzes the potential security and ethical risks embedded in AI-empowered educational scenarios. Oriented by the principles of security, stability and reliability, this study proposes a systematic safety barrier framework for smart education in institutions of higher education. The research results facilitate the standardized, normative and sustainable development of smart education, and offer feasible implications for improving data security governance in the construction of high-quality university smart education systems.

Key words: smart education, artificial intelligence, data security