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This paper analyzes how AI differentially affects four language skill modules, compares platforms including Duolingo, Liulishuo, and New Oriental IELTS Pro, and finds meaningful gains in adaptive learning but weaker performance in test simulations due to scoring errors and cultural bias. It proposes a hybrid human-AI assessment framework with culturally inclusive datasets and ethical guidelines to improve validity.",{"@graph":69,"@context":123},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/application-of-ai-in-foreign-language-education-teaching-and-assessments/158001/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/application-of-ai-in-foreign-language-education-teaching-and-assessments/158001.png","ImageObject",300,407,{"name":92,"@type":93},"Theodore","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-18","2026-08-29",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",14,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"How does AI influence different language skill modules in foreign language education?","Question",{"text":113,"@type":114},"AI shows stronger effectiveness for listening and speaking because it supports pattern recognition and real-time processing. Reading and writing are more difficult because they require abstract thinking, context interpretation, and subject judgment.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"What do comparative evaluations of Duolingo, Liulishuo, and New Oriental IELTS Pro show?",{"text":118,"@type":114},"The comparisons indicate that AI can improve adaptive learning significantly. However, AI struggles in IELTS-style test simulations due to scoring inaccuracies and cultural bias, especially when essays are evaluated against human standards.",{"name":120,"@type":111,"acceptedAnswer":121},"Why can AI misalign with human-evaluated IELTS essay scoring?",{"text":122,"@type":114},"Misalignment is linked to limitations in training datasets and risks from over-reliance on AI scoring signals. The paper highlights cultural sensitivity gaps and hidden logic appreciation issues as key causes.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},158001,1787993398,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":44,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":130,"read_time":144,"preview_page_count":4},7971461740886,"https://ap-avatar.wpscdn.com/davatar_3d24733baf745e90a7e4bdd5f77d97b2","Application of AI in Foreign Language Education: Teaching and Assessments  \nFan Yang  \nDepartment of Informatics, King's College London, London, United Kingdom [jane143y@gmail.com](jane143y@gmail.com)  \nAbstract. The integration of Artificial Intelligence (AI) into foreign language education has garnered significant attention, yet existing research remains disproportionately focused on foundational skills such as vocabulary and grammar, neglecting the complexities inherent in high-stakes test preparation like IELTS. This paper analyzes differentiated impacts of AI on four language skill modules (listening/speaking vs. reading/writing), revealing stark disparities in technological efficacy. Through comparative evaluation of platforms like Duolingo, Liulishuo, and New Oriental IELTS Pro, findings indicate AI achieves significant improvements in adaptive learning but falters in test simulations due to scoring inaccuracies and cultural biases. Notably, misalignment of AI with human-evaluated IELTS essays reaches 28% . Root causes include dataset limitations and over-reliance risks. To bridge this gap, the paper proposes a tripartite framework, with hybrid human-AI assessment models to reduce bias, culturally inclusive training datasets for test validity, and ethical guidelines for proficiency evaluations, aiming to harmonize AI innovation with pedagogical authenticity in language education.  \nKeywords: AI Applications, Language Assessment, Cultural Bias, Human-Ai Collaboration, Test Preparation  \n1 Introduction  \nArtificial Intelligence (AI) is revolutionizing the way how human beings live, work and think, especially with the advancement of Large Language Models (LLMs) and chatbot like ChatGPT, which could assist in paper reading, translation, content refinement, etc. in educational settings. An increasing number of higher education institutions around the globe published guidance for using AI in study, teaching and research, indicating its broad and unstoppable usage in the coming years.  \nLearning a foreign language is dependent on face-to-face interactions between teachers and students in classroom for long; in the current digital age, however, it is natural for instructors to consider applying AI tools in their teaching, assessments for students, etc., and there have been some research on its application to English learning and the preparation for language proficiency tests including Duolingo, IELTS, TOEFL, etc., especially in basic components like vocabulary and grammar. It is well known that a language test typically incorporates four modules, i.e., listening,  \n© The Author(s) 2025  \nD. Mishra (ed.), Proceedings of the 2025 International Conference on Mental Growth and Human Resilience (MGHR 2025), Advances in Social Science, Education and Humanities Research 983, [https://doi.org/10.2991/978-2-38476-509-6_86](https://doi.org/10.2991/978-2-38476-509-6_86)  \nspeaking, as sound-based components; reading, writing, as symbol-based ones. AI excels in pattern recognition and real-time processing, making it easier to be applied in listening and speaking teaching assessments; by contrast, reading and writing tasks involves abstract thinking, context interpretation and subject judgement, posing a challenge for AI application. Using AI tools in evaluating learners' writing abilities in the language test like IELTS is suggested to have its limitations - deficiency in cultural sensitivity and hidden logic appreciation, and few research focus on reading assessment, therefore, this article aims to provide a insight into learning and teaching English as a second language (ESL) with the assistance of AI.  \n2 Development of AI in Language Teaching and Assessment  \nThe integration of AI into ESL education has evolved from rudimentary computerassisted tools to sophisticated systems that transform teaching and assessment across all phases of instruction, reflecting advancements in natural language processing (NLP), adaptive learning and automa","cbCailyXQ1St8E7W","https://ap.wps.com/l/cbCailyXQ1St8E7W","pdf",312909,"English","# Introduction\n# Development of AI in Language Teaching and Assessment\n## AI in Teaching: From Preparation to Classroom Implementation\n## Case Studies of AI-Driven Learning Tools","[{\"question\":\"How does AI influence different language skill modules in foreign language education?\",\"answer\":\"AI shows stronger effectiveness for listening and speaking because it supports pattern recognition and real-time processing. Reading and writing are more difficult because they require abstract thinking, context interpretation, and subject judgment.\"},{\"question\":\"What do comparative evaluations of Duolingo, Liulishuo, and New Oriental IELTS Pro show?\",\"answer\":\"The comparisons indicate that AI can improve adaptive learning significantly. However, AI struggles in IELTS-style test simulations due to scoring inaccuracies and cultural bias, especially when essays are evaluated against human standards.\"},{\"question\":\"Why can AI misalign with human-evaluated IELTS essay scoring?\",\"answer\":\"Misalignment is linked to limitations in training datasets and risks from over-reliance on AI scoring signals. The paper highlights cultural sensitivity gaps and hidden logic appreciation issues as key causes.\"}]","Application of AI in Foreign Language Education - Teaching and Assessments | PDF",23]