摘要
在新时代教育背景下,“教—学—评”一体化已成为小学语文教学改革的必然趋势。然而,当前课堂中仍普遍存在教学目标模糊、学习过程不透明、评价方式单一且滞后等问题,严重制约了教学质量的提升与学生语文核心素养的发展。传统评价模式侧重结果性测查,忽视过程性、诊断性与发展性需求,其片面性与延迟性难以满足个性化学习与精准教学的要求。随着AI技术在教育领域的快速渗透,以自然语言处理、语音识别、机器学习、知识图谱等为代表的新技术,为构建跨界融合的评价模式提供了新的可能。文章提出以AI技术为驱动,构建集教学、学习与评价于一体的跨界评价新模式,通过多模态数据采集、智能分析与动态反馈,实现评价促进学习、评价引导教学与“教—学—评”深度融合的目标,以期为小学语文教学变革提供可行路径与理论支持。
In the context of the new era of education,the integration of“teaching—learning—evaluation”has become an inevitable trend in the reform of primary school Chinese language teaching.However,there are still common challenges in the current classroom,such as vague teaching objectives,invisible learning processes,single and outdated evaluation methods,which seriously affect the improvement of teaching quality and the development of students̓core Chinese literacy.The traditional evaluation model focuses on outcome based testing,neglecting process based,diagnostic,and developmental needs.Its one sidedness and delay make it difficult to meet the requirements of personalized learning and precise teaching.With the rapid penetration of artificial intelligence technology in the field of education,new technologies represented by natural language processing,speech recognition,machine learning,knowledge graphs,etc.provide new possibilities for building cross-border integrated evaluation models.This article proposes to use AI technology as a driving force to construct a new crossborder evaluation model that integrates teaching,learning,and evaluation.Through multimodal data collection,intelligent analysis,and dynamic feedback,the goal is to promote learning through evaluation,guide teaching through evaluation,and deeply integrate“teaching—learning—evaluation”,in order to provide feasible paths and theoretical support for the reform of primary school Chinese language teaching.
作者
王辉
WANG Hui(Wujin District Hutangqiao Experimental Primary School,Changzhou,Jiangsu 213161,China)
基金
常州市武进区区级课题:循证视阈下小学语文“教一学一评”一体化的跨界评价模式实践探究(wjk2025-268AI)。
关键词
人工智能
小学语文
“教一学—评”一体化
跨界评价
个性化学习
AI
primary school Chinese language
integration of“teaching—learning—evaluation”
cross border evaluation
personalized learning
