[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-160446-en":3,"doc-seo-160446-105":31,"detail-sidebar-cat-0-en-105":92},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":28,"seo_description":14,"update_tm":29,"read_time":30},160446,2336475104736,"วิน","https://ap-avatar.wpscdn.com/avatar/22000c4c5e0e5b17e70?x-image-process=image/resize,m_fixed,w_180,h_180&k=1786591360781797222",8,"Research & Report","Personalizing Education through an Adaptive LMS with Integrated LLMs","Large language models (LLMs) are reshaping technology adoption in education. This paper investigates integrating LLMs into learning management systems to build an adaptive learning management system (ALMS) that personalizes instruction for individual learners across educational stages. Compared with traditional LMSs that primarily distribute content and track progress, the proposed approach targets diverse learner needs, including contexts with limited instructor availability. It combines general and domain-specific LLMs to reduce hallucinations and outdated information via retrieval-augmented generation, while addressing privacy concerns and enhancing engagement.","Personalizing Education through an Adaptive LMS  \nwith Integrated LLMs  \nKyle Spriggs, Meng Cheng Lau, and Kalpdrum Passi  \narXiv :2502 .08655v 1 [ cs .AI] 24 Jan 2025  \nAbstract—The widespread adoption of large language models (LLMs) marks a transformative era in technology, especially within the educational sector. This paper explores the integration of LLMs within learning management systems (LMSs) to develop an adaptive learning management system (ALMS) personalized for individual learners across various educational stages. Traditional LMSs, while facilitating the distribution of educational materials, fall short in addressing the nuanced needs of diverse student populations, particularly in settings with limited instructor availability. Our proposed system leverages the flexibility of AI to provide a customizable learning environment that adjusts to each user’s evolving needs. By integrating a suite of general-purpose and domain-specific LLMs, this system aims to minimize common issues such as factual inaccuracies and outdated information, characteristic of general LLMs like OpenAI’s ChatGPT. This paper details the development of an ALMS that not only addresses privacy concerns and the limitations of existing educational tools but also enhances the learning experience by maintaining engagement through personalized educational content.  \nIndex Terms—Generative artificial intelligence; Large language models; Learning management system; Personalized learning.  \nI. INTRODUCTION  \nWIDESPREAD adoption of large language models  \n(LLMs) is a recent phenomenon. Previous technologies lack the powerful automation utility LLMs provide. Simple wrappers over LLMs are novel but already commonplace. Unique innovations therefore require the combination of multiple technologies. In education, institutions distribute course materials and analyze student performance using digital learning management systems (LMSs) [1] . Course-specific SaaS platforms also assist in the learning process [2] . In K-12, teacher attention is spread too thin to meet every student’s needs; a problem worsened in post-secondary where self-study dominates [3] . Passive learning, such as rereading textbooks, is less effective than active methods [4] . Standard LMSs rely on passive content, making the status quo sub-optimal. SaaS platforms, though helpful, are expensive and suffer from the same limitations. One-on-one instruction is the pinnacle of educational methods [5], as the learning experience can be personalized to actively moderate a student’s cognitive load [6] . Achieving this balance is hard, even for trained educators, and nearly impossible with a generalized approach [7] . An optimal solution should adapt to the student, both during lessons and throughout a course.  \nK. Spriggs, M. C. Lau, and K. Passi are with the Bharti School of Engineering and Computer Science, Laurentian University, Sudbury, ON, P3E 2C6 CANADA e-mail: [kspriggs@laurentian.ca](kspriggs@laurentian.ca), [mclau@laurentian.ca](mclau@laurentian.ca),  \n[and kpassi@laurentian.ca](and kpassi@laurentian.ca).  \nWe envision an adaptive learning management system personalized for each user. An AI agent can customize the experience via consistent user profiling. Such a system could overshadow conventional solutions. Traditional LMSs serve as delivery methods for academic materials, acting as proxies between teachers and students, allowing educators to manage content for student consumption, collect completed work, track academic progress, and communicate [1] . This framework can be augmented to provide adaptive content tailored to users’goals. LLMs such as OpenAI’s ChatGPT could be pivotal in such a system, but face issues like hallucinations, privacy concerns, knowledge gaps, and high costs [8] . This paper discusses a prototype designed to address these issues. It integrates custom-trained, domain-specific LLMs for various tasks, balancing privacy and cost by choosing when to use secure models or","cbCaikm9bJeVnSFz","https://ap.wps.com/l/cbCaikm9bJeVnSFz","pdf",697124,4,1,14,"English","en",105,"# Introduction\n## Literature Review\n### Artificial Intelligence in Education\n## System Development and Prototype Phases\n## Paper Structure","[{\"question\":\"What problem does the paper address in traditional learning management systems?\",\"answer\":\"Traditional LMSs mainly distribute materials and track progress, but they do not adapt well to the nuanced needs of diverse learners, especially when instructor availability is limited.\"},{\"question\":\"How does the proposed ALMS improve reliability compared with general LLMs?\",\"answer\":\"It integrates domain-specific and general-purpose LLMs and uses retrieval augmented generation (RAG) to reduce hallucinations and outdated information.\"},{\"question\":\"What are the main phases of development described for the system?\",\"answer\":\"Phase I builds command-line scripts plus a Django/React backend and containerizes the system; Phase II integrates LLMs using APIs and tests RAG and embeddings; Phase III evaluates LLM performance against human test scores across subjects and coding.\"}]","Personalizing Education through an Adaptive LMS with Integrated LLMs | PDF",1788063574,35,{"code":4,"msg":32,"data":33},"ok",{"site_id":25,"language":24,"slug":34,"title":13,"keywords":35,"description":14,"schema_data":36,"social_meta":87,"head_meta":89,"extra_data":91,"updated_unix":29},"personalizing-education-through-an-adaptive-lms-with-integrated-llms","",{"@graph":37,"@context":86},[38,54,69],{"@type":39,"itemListElement":40},"BreadcrumbList",[41,45,49,52],{"item":42,"name":43,"@type":44,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":46,"name":47,"@type":44,"position":48},"https://docshare.wps.com/document/","Document",2,{"item":50,"name":12,"@type":44,"position":51},"https://docshare.wps.com/document/research-report/",3,{"item":53,"name":13,"@type":44,"position":20},"https://docshare.wps.com/document/personalizing-education-through-an-adaptive-lms-with-integrated-llms/160446/",{"url":53,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":24,"description":14,"dateModified":62,"datePublished":63,"encodingFormat":61,"isAccessibleForFree":64,"interactionStatistic":65},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":42,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-09-05","2026-08-30",true,{"@type":66,"interactionType":67,"userInteractionCount":20},"InteractionCounter",{"@type":68},"ViewAction",{"@type":70,"mainEntity":71},"FAQPage",[72,78,82],{"name":73,"@type":74,"acceptedAnswer":75},"What problem does the paper address in traditional learning management systems?","Question",{"text":76,"@type":77},"Traditional LMSs mainly distribute materials and track progress, but they do not adapt well to the nuanced needs of diverse learners, especially when instructor availability is limited.","Answer",{"name":79,"@type":74,"acceptedAnswer":80},"How does the proposed ALMS improve reliability compared with general LLMs?",{"text":81,"@type":77},"It integrates domain-specific and general-purpose LLMs and uses retrieval augmented generation (RAG) to reduce hallucinations and outdated information.",{"name":83,"@type":74,"acceptedAnswer":84},"What are the main phases of development described for the system?",{"text":85,"@type":77},"Phase I builds command-line scripts plus a Django/React backend and containerizes the system; Phase II integrates LLMs using APIs and tests RAG and embeddings; Phase III evaluates LLM performance against human test scores across subjects and coding.","https://schema.org",{"og:url":53,"og:type":88,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":90,"canonical":53},"index,follow",{"doc_id":7,"site_id":25},{"code":4,"msg":5,"data":93},[94,98,102,106,111,116,121,124,129,132,136],{"id":21,"doc_module":4,"doc_module_name":47,"category_name":95,"show_sort_weight":96,"slug":97},"Story & Novel",90,"story-novel",{"id":48,"doc_module":4,"doc_module_name":47,"category_name":99,"show_sort_weight":100,"slug":101},"Literature",80,"literature",{"id":20,"doc_module":4,"doc_module_name":47,"category_name":103,"show_sort_weight":104,"slug":105},"Exam",70,"exam",{"id":107,"doc_module":4,"doc_module_name":47,"category_name":108,"show_sort_weight":109,"slug":110},5,"Comic",60,"comic",{"id":112,"doc_module":4,"doc_module_name":47,"category_name":113,"show_sort_weight":114,"slug":115},6,"Technology",50,"technology",{"id":117,"doc_module":4,"doc_module_name":47,"category_name":118,"show_sort_weight":119,"slug":120},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":47,"category_name":12,"show_sort_weight":122,"slug":123},30,"research-report",{"id":125,"doc_module":4,"doc_module_name":47,"category_name":126,"show_sort_weight":127,"slug":128},9,"Religion & Spirituality",20,"religion-spirituality",{"id":127,"doc_module":4,"doc_module_name":47,"category_name":130,"show_sort_weight":127,"slug":131},"World Cup","world-cup",{"id":133,"doc_module":4,"doc_module_name":47,"category_name":134,"show_sort_weight":133,"slug":135},10,"Lifestyle","lifestyle",{"id":137,"doc_module":4,"doc_module_name":47,"category_name":138,"show_sort_weight":107,"slug":139},19,"General","general"]