智能评测技术:个性化教学中的数据驱动分析  

Smart Assessment Technologies:Data-Driven Analysis in Personalized Learning

作　　者：王爱清[1] Aiqing WANG(Ningde Normal University)

机构地区：[1]宁德师范学院

出　　处：《人工智能教育研究》2025年第1期30-41,共12页Artificial Intelligence Education Studies

摘　　要：智能测评技术在个性化教学中发挥了重要作用,特别是在提升评估的精准性、效率和公平性方面。随着人工智能技术的不断进步,智能测评系统能够通过机器学习、深度学习和自然语言处理技术,为学生提供个性化的学习评估,并为教师提供及时的数据反馈。本文探讨了智能测评技术的核心方法、面临的挑战与优化策略,并展望了未来发展方向。研究表明,智能测评不仅能够提高教学质量,还能通过数据驱动的分析推动教育公平性和精准性的发展。未来,智能测评将结合自适应学习模型、AR/VR技术和AI伦理等方面进一步优化,成为教育改革的重要驱动力。Intelligent assessment technology plays a vital role in personalized teaching.,especially in enhancing the ac-curacy,efficiency,and fairness of assessments.With the continuous advancement of artificial intelligence,intelligentassessment systems can provide personalized learning evaluations for students through machine learning.deep learning.and naturallanguage processing technologies,while also providing timely data feedback for teachers.'This paper discussesthe core methods of intelligent assessment technology,the challenges and optimization strategies it faces,and prospectsfor future development.The study suggests that intelligent assessment can improve teaching quality and promote thedevelopment of educational fairness and precision through data-driven analysis.In the future,intelligent assessmentwill be further optimized by integrating adaptive learning models,ARVR technologies,and Al ethics,becoming a keydriver of educational reform.

关 键 词：智能测评 个性化教学 人工智能 数据驱动 教育公平 

分 类 号：G63[文化科学—教育学]