A Bibliometric Analysis of Dynamic Evolution Trends in International Writing Assessment Studies
Year: 2025
Type: article
Abstract: 本研究使用文献可视化工具SciMAT，对2003~2023年Web of Science核心数据库中写作评估领域的文献，进行主题动态演化的文献计量学分析。通过关键词演进覆盖图、聚类战略图以及动态演化路径图的剖析，研究发现写作评估领域呈现出繁荣发展的态势，形成了“句法复杂度”“学生感知”“效度”“写作自动评估”“教学策略”“二语写作”及“性能评估”七个研究方向的十条演化路径。未来写作评估相关研究需融合基于语言规则的理性主义和基于语言大数据的经验主义的跨学科研究方法，解构“写作质量”多维度、多层级构念，拓宽写作评估领域的研究内容与视角。The present study harnesses the literature visualization tool SciMAT to conduct a bibliometric analysis of the dynamic thematic evolution within the writing assessment domain, drawing from documents indexed in the Web of Science Core Collection from 2003 to 2023. Through an in-depth examination of keyword evolution coverage maps, clustering strategy maps, and thematic dynamic evolution pathway diagrams across three distinct periods, our investigation unveiled that, over the past two decades, the domain of writing assessment has experienced a flourishing development, culminating in the establishment of seven research directions: Syntactic Complexity, Students Perceptions, Validity, Automated Writing Evaluation, Instructional Strategies, L2 Writing, and Performance Assessment with ten evolutionary pathways. Future research on writing assessment could integrate interdisciplinary approaches that combine rationalism based on language rules and empiricism based on big language data, thereby deconstructing the multidimensional and multilevel constructs of writing quality and expanding the perspective of research within the field of writing assessment.
Source: Modern Linguistics
Author: 小艺 汤
Institution: University of Science and Technology Beijing
Language: English
Subfield: Language and Linguistics
Field: Arts and Humanities
Domain: Social Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4412514340