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基于LDA主题聚类的初中语文古诗词教学模型建构

Construction of Teaching Model of Chinese Ancient Poetry in Junior High School Based on LDA Topic Clustering
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摘要 为顺应数智化背景下知识的变革趋势,解决当前初中古诗词教学研究缺乏系统性的问题,以新课标、新教材中有关初中古诗词教学要求的文本为样本,运用LDA主题聚类、文本层次理论、词云图进行文本分析,挖掘出六个核心教学主题,确定“品言—感象—明意—体情—积用”五个基本教学环节。提炼各教学主题下高频词对应教学策略,建构初中古诗词教学模型:品味语言环节,以诵读教学为主;感受意象环节,以绘制图画为主;明确大意环节,以还原为主;体会情感环节,以故事教学为主;积累运用环节,以创设情境为主。教学模型的构建为初中古诗词教学设计与实施提供系统化的路径和参考。 In order to comply with the changing trend of knowledge under the background of digital intelligence and solve the problem of lack of systematicness in the current teaching research of ancient poetry in junior high school,taking the texts related to the teaching requirements of ancient poetry in junior high school in the new curriculum standard and new textbooks as samples,through LDA topic clustering,text hierarchy theory,and word cloud image for text analysis,six core teaching themes were excavated,and five basic teaching links of"taste language-feel images-clarify ideas-experience emotions-accumulate use"were determined,the corresponding teaching strategies of high-frequency words under each teaching theme were refined,and the teaching model of ancient poetry in junior high school was constructed:taste the language link,mainly in reading teaching;The part of feeling image,mainly drawing pictures;Clarify the main idea and focus on reduction;Experience the emotional link,focusing on story teaching;Accumulate and use links,mainly creating situations.The construction of teaching model provides a systematic path and reference for the design and implementation of ancient poetry teaching in junior high school.
作者 魏玉翠 任强 WEI Yucui;REN Qiang(School of Literature,Huaibei Normal University,Huaibei 235000,Anhui,China)
出处 《惠州学院学报》 2026年第1期101-106,共6页 Journal of Huizhou University
基金 安徽省高等学校质量工程“四新”研究与改革实践项目(2023sx067) 安徽省新时代育人质量工程项目(研究生教育)研究生学术创新项目(2024xscx093)。
关键词 LDA主题聚类 初中古诗词 教学模型 《义务教育语文课程标准(2022年版)》 LDA topic clustering ancient poetry in junior high school teaching model Chinese Curriculum Standards for Compulsory Education(2022 Edition)
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