学生视角下的大语言模型赋能外语个性化学习研究——机遇与挑战  

Personalized Learning of Foreign Languages Empowered by Large Language Models from Learners’Perspective-Opportunities and Challenges

作　　者：刘芹[1] 谭佳豪 LIU Qin;TAN Jiahao(College of Foreign Languages,University of Shanghai for Science and Technology,Shanghai 200093,China)

机构地区：[1]上海理工大学外语学院,上海200093

出　　处：《上海理工大学学报(社会科学版)》2025年第1期15-21,共7页Journal of University of Shanghai for Science and Technology:Social Sciences Edition

基　　金：上海市教委高层次人才项目(5123305001)。

摘　　要：个性化学习是依据学习者的个性特征和发展潜能,采取灵活的方法以满足个体需求的学习。从学生视角探讨大语言模型在外语个性化学习中的应用,通过比较六个维度的表现,评估国内外不同大语言模型的赋能效果。结果显示:国内外大语言模型在处理知识查询等简单学习需求时表现相当;但在自然语言生成和上下文理解方面,国外模型更为出色,能够准确把握语境,灵活应对多样化的交互场景,而国内模型在开放式对话中显得相对僵硬;大语言模型在促进个性化体验、降低学习门槛和增强交际意愿等方面的优势可以促进外语个性化学习效果,但也存在技术依赖、信息真实性、学术不端等问题。基于此,未来的外语教育应融合技术与人文,充分发挥大语言模型的潜力,同时规避潜在风险。Personalized learning is an approach that tailors learning methods to meet the individual needs of learners in accordance with their unique characteristics and developmental potential.This study explores the application of large language models(LLMs)in personalized foreign language learning from the perspective of learners,evaluating the effects of different domestic and foreign models by comparing their performance across six dimensions.The results indicate that while domestic and foreign LLMs perform equally in addressing simple learning needs such as knowledge queries,foreign models excel in natural language generation and contextual meaning through accurately locating the context and appropriately responding to diverse interactive scenarios,whereas domestic ones perform clumsily in open-ended dialogues.Although the advantages of LLMs in promoting personalized experiences,lowering the threshold of learning,and promoting communication willingness will enhance the effect of personalized learning,potential issues also exist in relation to technological overdependence,false information,and academic misconduct.Accordingly,technology and humanities need to be integrated in future foreign language education,promoting the potential of LLMs while reducing possible risks.

关 键 词：大语言模型 个性化学习 学生视角 

分 类 号：H319[语言文字—英语]