[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-118432-en":3,"doc-seo-118432-105":30,"detail-sidebar-cat-0-en-105":91},{"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":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},118432,687197207057,"Sage","https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0",8,"Research & Report","Automation of Content Delivery in Educational Sector Through Machine Learning - Slideshare","Machine learning, as an AI technology, enables educational systems to learn from large prior datasets and generate informed decisions. The framework captures and stores data, transforms it into usable knowledge, and supports multiple education applications. In education, machine learning reduces time spent on non-school tasks through virtual assistants, improves student learning experience, and increases progression and success. It also enables personalized learning by helping teachers track progress and design tailored curricula aligned to individual needs, while supporting moderation and enhanced engagement.","Automation of Content Delivery in Educational Sector Through Machine Learning  \nNeha Upadhyay1, Dr. Ajay Jain2  \n1Research Scholar, Dr. APJ Abdul Kalam University Indore  \n2Supervisor, Dr. APJ Abdul Kalam University  \nAbstract : Machine learning, a subset of Artificial Intelligence (AI), is a technology that enables computers or teaching machines to learn from and make informed decisions based on a large amount of prior data. The machine learning framework involves the capture and storage of a large amount of data and its transformation into a comprehensive knowledge base for various applications in various areas. In the educational field, machine learning can be used to save time in non-school activities. For instance, virtual assistants can be employed by teachers to work remotely from home for their students. This type of assistance can help to improve the learning experience of students and can lead to an increase in progression and student success. Machine learning also facilitates personalized learning within the educational system. AI advancements are allowing teachers to gain a better understanding of their students' learning progress, allowing them to create tailored curriculums that meet the individual needs of their learners. When used in the education sector, AI can also facilitate the moderation of intelligence.  \nKeywords: Machine Learning, Content Automation, Education Content  \nINTRODUCTION  \nThe utilization of machine learning in education has revolutionized the learning process, providing educational institutions with new tools to monitor and enhance student performance and engagement. ML-enabled personalized approaches have made education more accessible, inclusive, and engaging. Technology has become ubiquitous, particularly in the education sector, and has been found to be essential for achieving learning outcomes. Education has become more than the mere teaching of text or memorization of documents; the instructional process, both within and outside the classroom, has evolved into an activity with measurable objectives and outcomes. Educational techniques have become a dynamic component of the learning process, and have grown to be an essential part that broadens the development of the learning system components, modernizes the fundamentals ofthe curriculum and increases both efficiency and resourcefulness. These components are employed in the planning, implementation, evaluation, follow-up and development of objectives. Machine learning is a new frontier in higher education. It isone of the most powerful new technologies. Machine learning plays a key role in artificial intelligence and human interactions. Machine learning is the cutting edge  \ntechnology being used to fight cancer, fight climate change, fight terrorism, and more. It’s the new infrastructure of everything. As a result, machine learning enables computers to uncover hidden information without being programmed. Machine learning also functions as a good predictor.  \nThis paper outlines the principles of machine learning technology used in educational activities. Machine learning can be used in a variety of ways, such as providing learners with a range of learning options so they can find the one that best suits them, while also taking into account the individual differences between pupils. Additionally, machine learning can be used to review a difficult-to-understand lesson. Ultimately, machine learning in education is designed to meet the needs of students at the most suitable time and location.  \nVirtual assistance is an essential component of education and is a suitable platform for the utilization of machine learning. A virtual assistant may engage in a dialogue with students[1] . This dialogue is facilitated by conversational agents who provide assistance to students through the use of an application or a website. The process is relatively straightforward, requiring the student to input text. The agents then carry out the task and identi","cbCaifcTAeKHmmUn","https://ap.wps.com/l/cbCaifcTAeKHmmUn","pdf",262717,1,5,"English","en",105,"# Introduction\n## Virtual assistance in education\n## Proposed education framework\n# Recent Studies\n# Machine Learning","[{\"question\":\"How does machine learning support content automation in education?\",\"answer\":\"Machine learning captures and transforms prior data into a knowledge base that can help automate and support educational activities. It also enables systems to generate relevant responses based on learner inputs.\"},{\"question\":\"What role do virtual assistants play in the proposed educational framework?\",\"answer\":\"Virtual assistants engage students in dialogue via conversational agents. They help provide fast, precise support and allow teachers to track performance through learning activities.\"},{\"question\":\"How can machine learning improve personalized learning outcomes?\",\"answer\":\"Machine learning facilitates personalized learning by helping teachers understand students’ progress. This allows tailored curricula that match individual learner needs and timing and location of support.\"}]","Automation of Content Delivery in Educational Sector Through Machine Learning - Slideshare | PDF",1785683585,13,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"automation-of-content-delivery-in-educational-sector-through-machine-learning-slideshare","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/automation-of-content-delivery-in-educational-sector-through-machine-learning-slideshare/118432/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-02",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"How does machine learning support content automation in education?","Question",{"text":75,"@type":76},"Machine learning captures and transforms prior data into a knowledge base that can help automate and support educational activities. It also enables systems to generate relevant responses based on learner inputs.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"What role do virtual assistants play in the proposed educational framework?",{"text":80,"@type":76},"Virtual assistants engage students in dialogue via conversational agents. They help provide fast, precise support and allow teachers to track performance through learning activities.",{"name":82,"@type":73,"acceptedAnswer":83},"How can machine learning improve personalized learning outcomes?",{"text":84,"@type":76},"Machine learning facilitates personalized learning by helping teachers understand students’ progress. 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