[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-1-en-105":3,"doc-seo-159446-105":53,"doc-detail-159446-en":126},{"code":4,"msg":5,"data":6},0,"success",[7,14,19,24,29,34,39,44,49],{"id":8,"doc_module":9,"doc_module_name":10,"category_name":11,"show_sort_weight":12,"slug":13},11,1,"Template","Presentations",90,"presentations",{"id":15,"doc_module":9,"doc_module_name":10,"category_name":16,"show_sort_weight":17,"slug":18},12,"Resumes",80,"resumes",{"id":20,"doc_module":9,"doc_module_name":10,"category_name":21,"show_sort_weight":22,"slug":23},14,"Invoices",70,"invoices",{"id":25,"doc_module":9,"doc_module_name":10,"category_name":26,"show_sort_weight":27,"slug":28},15,"Posters",60,"posters",{"id":30,"doc_module":9,"doc_module_name":10,"category_name":31,"show_sort_weight":32,"slug":33},16,"Social Media",50,"social-media",{"id":35,"doc_module":9,"doc_module_name":10,"category_name":36,"show_sort_weight":37,"slug":38},17,"Forms",40,"forms",{"id":40,"doc_module":9,"doc_module_name":10,"category_name":41,"show_sort_weight":42,"slug":43},18,"Letters",30,"letters",{"id":45,"doc_module":9,"doc_module_name":10,"category_name":46,"show_sort_weight":47,"slug":48},21,"Paper Templates",5,"papers-templates",{"id":50,"doc_module":9,"doc_module_name":10,"category_name":51,"show_sort_weight":4,"slug":52},158,"General","general-158",{"code":4,"msg":54,"data":55},"ok",{"site_id":56,"language":57,"slug":58,"title":59,"keywords":60,"description":61,"schema_data":62,"social_meta":119,"head_meta":121,"extra_data":123,"updated_unix":125},105,"en","development-of-an-ai-enhanced-microlearning-platform-for-enterprise-knowledge-transfer","Development of an AI-enhanced microlearning platform for enterprise knowledge transfer","","The master’s thesis develops an AI-enhanced microlearning platform designed for enterprise knowledge transfer, grounded in automation and computer science research. It reviews microlearning benefits and limitations, surveys e-learning and microlearning technologies, and analyzes how artificial intelligence can enable personalized learning, tutoring, analytics, accessibility, and inclusion. The work also examines training standards such as SCORM and xAPI, then specifies platform requirements, user personas, use cases, and a technical architecture supported by automated content-generation techniques.",{"@graph":63,"@context":118},[64,80,101],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":11,"@type":70,"position":76},"https://docshare.wps.com/template/presentations/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/development-of-an-ai-enhanced-microlearning-platform-for-enterprise-knowledge-transfer/159446/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/development-of-an-ai-enhanced-microlearning-platform-for-enterprise-knowledge-transfer/159446.png","ImageObject",442,249,{"name":88,"@type":89},"Dozel","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-09-19","2026-08-29",true,{"@type":98,"interactionType":99,"userInteractionCount":9},"InteractionCounter",{"@type":100},"ViewAction",{"@type":102,"mainEntity":103},"FAQPage",[104,110,114],{"name":105,"@type":106,"acceptedAnswer":107},"What is the main goal of the thesis?","Question",{"text":108,"@type":109},"To develop an AI-enhanced microlearning platform that supports enterprise knowledge transfer by improving how training content is delivered and personalized.","Answer",{"name":111,"@type":106,"acceptedAnswer":112},"Which topics are covered in the state of the art?",{"text":113,"@type":109},"The thesis reviews microlearning concepts, existing enterprise training technologies, AI applications in e-learning, and digital training standards including SCORM and xAPI.",{"name":115,"@type":106,"acceptedAnswer":116},"How does the platform design address users and capabilities?",{"text":117,"@type":109},"It defines functional and non-functional requirements, establishes user personas and use cases, and surveys AI techniques for automated content generation to inform the system architecture.","https://schema.org",{"og:url":78,"og:type":120,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":122,"canonical":78},"index,follow",{"doc_id":124,"site_id":56},159446,1788018085,{"code":4,"msg":5,"data":127},{"doc_id":124,"user_id":128,"nickname":88,"user_avatar":129,"doc_module":9,"category_id":8,"category_name":11,"doc_title":59,"doc_description":61,"doc_content":130,"file_id":131,"file_url":132,"file_type":133,"file_size":134,"view_count":9,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":135,"language":136,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":137,"faqs":138,"seo_title":139,"seo_description":61,"update_tm":125,"read_time":140},962085662650,"https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0","POLITECNICO DI TORINO  \nDepartment of Automation and Computer Science  \nClass LM-32  \nMaster’s Thesis in Computer Engineering  \nDevelopment of an AI-enhanced microlearning platform for enterprise knowledge transfer  \nIn collaboration with Reply S.p.A.  \nTutor:  \nProf. Laura Farinetti  \nCompany tutor:  \nAndrea Lupo  \nCandidate:  \nVeronica Mattei  \nAcademic Year 2024/2025  \nSUMMARY  \n1. INTRODUCTION ............................................................................................................................. 1  \n1.1 Context and motivation................................................................................................................ 1  \n1.2 Research objectives ...................................................................................................................... 1  \n1.3 Thesis structure ............................................................................................................................ 2  \n2. STATE OF THE ART ...................................................................................................................... 3  \n2.1 Microlearning definition and context ......................................................................................... 3  \n2.1.1 Benefits of microlearning ...................................................................................................... 3  \n2.1.2 Limitations of microlearning ................................................................................................ 5  \n2.2 Existing technologies for enterprise training ............................................................................ 7  \n2.2.1 E-learning platforms ............................................................................................................. 7  \n2.2.3 Microlearning platforms ....................................................................................................... 7  \n2.2.3 Learning Management Systems........................................................................................... 7  \n2.2.4 Authoring tools ...................................................................................................................... 8  \n2.2.5 AI-powered tools and chatbots ............................................................................................ 8  \n2.2.6 Key limitations of existing technologies ............................................................................. 8  \n2.3 Application of Artificial Intelligence in e-learning .................................................................... 9  \n2.3.1 Personalized and adaptive learning ..................................................................................... 9  \n2.3.2 Intelligent Tutoring Systems and Virtual Assistants .......................................................... 9  \n2.3.3 AI in learning analytics and assessment ............................................................................. 9  \n2.3.4 Enhancing accessibility and inclusion .............................................................................. 10  \n2.3.5 Recent trends and innovations........................................................................................... 10  \n2.3.6 Ethical considerations and challenges .............................................................................. 11  \n2.4 Standards and formats for digital training (SCORM, xAPI) .................................................. 12  \n2.4.1 SCORM use cases, advantages, and limitations ............................................................... 12  \n2.4.2 xAPI use cases, advantages, and limitations .................................................................... 13  \n2.4.3 Comparison of technical architectures .............................................................................. 14  \n2.4.4 Applications in corporate and academic settings ............................................................. 15  \n3. PLATFORM DESIGN AND","cbCaivi7LLhJ9NSE","https://ap.wps.com/l/cbCaivi7LLhJ9NSE","pdf",2246272,88,"English","# Introduction\n## Context and motivation\n## Research objectives\n## Thesis structure\n# State of the Art\n## Microlearning definition and context\n## Existing technologies for enterprise training\n## Application of Artificial Intelligence in e-learning\n## Standards and formats for digital training (SCORM, xAPI)\n# Platform Design and Architecture\n## Functional and non-functional requirements\n## User personas and use cases\n## Survey of AI techniques for automated content generation","[{\"question\":\"What is the main goal of the thesis?\",\"answer\":\"To develop an AI-enhanced microlearning platform that supports enterprise knowledge transfer by improving how training content is delivered and personalized.\"},{\"question\":\"Which topics are covered in the state of the art?\",\"answer\":\"The thesis reviews microlearning concepts, existing enterprise training technologies, AI applications in e-learning, and digital training standards including SCORM and xAPI.\"},{\"question\":\"How does the platform design address users and capabilities?\",\"answer\":\"It defines functional and non-functional requirements, establishes user personas and use cases, and surveys AI techniques for automated content generation to inform the system architecture.\"}]","Development of an AI-enhanced microlearning platform for enterprise knowledge transfer | PDF",31]