人工智能视域下高校思政教育的机遇、现实困境及突破路径

Group 1: Opportunities in AI-Enhanced Ideological Education - The integration of AI technology can innovate the presentation of ideological education, transforming abstract political theories into tangible forms and enhancing knowledge transfer through immersive experiences [1][2] - AI can facilitate personalized learning strategies by analyzing students' cognitive characteristics, generating tailored learning plans, and ensuring effective understanding of knowledge content [1][2] - AI can break traditional physical boundaries of ideological education, creating a blended educational space that integrates high-quality resources across regions and disciplines [2] Group 2: Challenges in AI-Enhanced Ideological Education - The collaboration among various stakeholders, including educational institutions and tech companies, faces structural contradictions due to differing values and operational logics [3][4] - The development of intelligent products often struggles with the mismatch between educational needs and technology, leading to diluted values in educational content [3][4] - The risks associated with AI in education, such as algorithmic biases and the potential for ideological misguidance, present new governance challenges [4][5] Group 3: Pathways for Breakthroughs in AI-Enhanced Ideological Education - There is a need to cultivate new educational subjects that adapt to AI, requiring traditional teachers to undergo digital transformation and encouraging collaboration with new educational entities [5] - Innovative educational channels can be developed through technology, allowing for real-time data collection and personalized teaching plans that transcend traditional classroom constraints [5] - The establishment of collaborative platforms is essential for integrating educational resources and fostering cooperation among institutions, industries, and communities [5]