Research on the construction of college English multiple evaluation driven by artificial intelligence
人工智能驱动下的混合式大学英语多元评价构建研究

摘要

以ChatGPT、DeepSeek为代表的人工智能技术的快速发展，正在重塑大学英语教育及评价体系。本文以建构主义理论和LOA生态系统理论为框架，探讨人工智能时代混合式大学英语多元评价的内涵、形式及特征。研究发现，传统以终结性评价为主的模式难以全面评估学生的英语语言综合能力，而人工智能技术通过自然语言处理、数据挖掘等手段，能够实现形成性与终结性评价的结合、机器与人工评价的互补、个性化与标准化评价的协同，推动评价主体多元化、评价目标多维化、反馈即时化、数据可视化。人工智能赋能的大学英语多元评价体系不仅提升了评价的科学性和效率，还为促进教育公平、支持学生个性化发展提供了新路径。未来研究需进一步探索人工智能与教育的深度融合，优化评价工具，平衡技术应用与人文关怀。

Abstract

The rapid development of artificial intelligence technology represented by ChatGPT and DeepSeek is reshaping college English education and evaluation systems. Based on the framework of constructivism theory and LOA ecosystem theory, this paper explores the connotation, form, and characteristics of College English multi-evaluation in the era of artificial intelligence. The study has found that the traditional model based on summative evaluation is difficult to comprehensively evaluate students’ comprehensive English language ability. Artificial intelligence technology can achieve the combination of formative and summative evaluation, the complementarity of machine and manual evaluation, and the coordination of personalized and standardized evaluation through natural language processing, data mining and other means, and promote the multidimensionality of evaluation goals, the diversification of subjects, the instant feedback, and data visualization. The multi-evaluation system of college English empowered by artificial intelligence not only improves the scientificity and efficiency of evaluation, but also provides a new path for promoting educational equity and supporting students’ personalized development. It is necessary to further explore the deep integration of artificial intelligence and education, optimize evaluation tools, and balance technology application with humanistic care in the future study.