基于AI技术下高校学生课堂管理改革研究

Research on the Reform of College Students’ Classroom Management Based on AI Technology

摘要: 随着人工智能技术的飞速发展正深刻重塑高等教育教学生态，也为破解高校课堂管理长期存在的“隐性逃课”、评价单一等现实困境提供了技术进路。本研究将AI赋能课堂管理置于教育数字化转型的宏观语境下，剖析了传统课堂管理在规训逻辑、学情感知、评价尺度及数据治理层面的现实短板。基于多模态学习分析与知识追踪技术，本文构建了“感知–计算–干预–评价”的AI课堂管理闭环模型，提出了涵盖无感伴随式考勤、课堂生态实时预警、自适应干预及多维动态增值评价的四大实践路径。同时，针对技术监督可能引发的“全景敞视”隐私危机、算法偏见、师生情感疏离等伦理风险进行了深度批判与反思。研究指出，高校课堂管理改革应跨越“技术工具理性”的陷阱，走向“技术向善”与“育人为本”的价值理性，通过完善数据治理制度、重塑教师数字领导力、构建人机协同生态，最终实现从“刚性管控”向“智慧赋能”的范式跃迁。

Abstract: The rapid development of artificial intelligence technology is profoundly reshaping the teaching and learning ecology of higher education, and also provides a technical approach to solving long-standing practical dilemmas in college classroom management such as “invisible absenteeism” and simplistic evaluation. This study places AI-enabled classroom management in the macro context of educational digital transformation, and analyzes the practical shortcomings of traditional classroom management in terms of disciplinary logic, learning emotion perception, evaluation criteria and data governance. Based on multimodal learning analytics and knowledge tracing technology, this paper constructs a closed-loop AI classroom management model of “perception-computation-intervention-evaluation”, and proposes four practical paths including non-inductive accompanying attendance, real-time early warning of classroom ecology, adaptive intervention, and multi-dimensional dynamic value-added evaluation. Meanwhile, it conducts an in-depth critique and reflection on ethical risks such as the “panopticism” privacy crisis, algorithmic bias, and emotional alienation between teachers and students that may be caused by technical supervision. The study points out that the reform of college classroom management should transcend the trap of “technical instrumental rationality” and move toward the value rationality of “technology for good” and “student-oriented education”. By improving the data governance system, reshaping teachers’ digital leadership, and constructing a human-machine collaborative ecology, the paradigm shift from “rigid control” to “intelligent empowerment” can be ultimately realized.