Knowledge Mapping Applied to the Construction of a Theoretical Resource Base for Teaching English at the University Level

IF 3.1 Q1 Mathematics Applied Mathematics and Nonlinear Sciences Pub Date : 2024-01-01 DOI:10.2478/amns-2024-0798
Xia Xie
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Abstract

In the evolving field of educational technology, knowledge mapping has emerged as a pivotal tool for university English education. This study examines its role in building a theoretical resource base to enhance the efficiency of organizing, accessing, and utilizing teaching materials. This research constructs a knowledge graph for English teaching resources by employing a seven-step process to create a domain ontology and an enhanced TF-IDF algorithm for keyword extraction. Results show the knowledge graph significantly boosts information retrieval accuracy and user satisfaction. The experimental group reported a 25% increase in learning efficiency, a 30% enhancement in the quality of learning outcomes, and a 12.63% rise in average grades, outperforming the control group. The findings suggest knowledge mapping substantially benefits the development of a theoretical resource base for university English teaching, improving teaching and learning quality.
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知识图谱应用于大学英语教学理论资源库的构建
在不断发展的教育技术领域,知识图谱已成为大学英语教育的重要工具。本研究探讨了知识图谱在建立理论资源库,提高教材组织、获取和利用效率方面的作用。本研究通过采用七步流程创建领域本体和增强型 TF-IDF 算法提取关键词,构建了英语教学资源知识图谱。结果表明,知识图谱大大提高了信息检索的准确性和用户满意度。实验组的学习效率提高了 25%,学习成果质量提高了 30%,平均成绩提高了 12.63%,均优于对照组。研究结果表明,知识图谱大大有利于大学英语教学理论资源库的开发,提高了教学质量。
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来源期刊
Applied Mathematics and Nonlinear Sciences
Applied Mathematics and Nonlinear Sciences Engineering-Engineering (miscellaneous)
CiteScore
2.90
自引率
25.80%
发文量
203
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