[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-124252-en":3,"doc-seo-124252-105":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":20,"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},124252,687197207057,"Sage","https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0",6,"Technology","AI and machine learning for adaptive elearning platforms in cybersecurity training for entrepreneurs","This paper explores the use of artificial intelligence and machine learning in adaptive eLearning platforms for cybersecurity training aimed at entrepreneurs. Limited budgets and technical expertise create distinctive security-learning challenges for small businesses, while traditional training often does not match their needs. The work highlights AI-driven personalization, increased engagement, real-time assessments, and adjustment to different learning styles. It also reviews trends, system integration, and ethical and regulatory considerations, concluding with recommendations to support scalable protection of digital assets.","OPEN ACCESS  \nComputer Science & IT Research Journal  \nP-ISSN: 2709-0043, E-ISSN: 2709-0051  \nVolume 5, Issue 12, P.No. 2715-2729, December 2024 DOI: 10.51594/csitrj.v5i12 .1787  \nFair East Publishers [Journal Homepage: ](Journal Homepage: www.fepbl.com/index.php/csitrj)[www.fepbl.com/index.php/csitrj](Journal Homepage: www.fepbl.com/index.php/csitrj)  \nAI and machine learning for adaptive elearning platforms in cybersecurity training for entrepreneurs  \nBlessing Austin-Gabriel 1, Adeoye Idowu Afolabi2, Christian Chukwuemeka Ike3,  \n& Nurudeen Yemi Hussain4  \n1Montclair State University, Montclair, New Jersey, USA  \n2CISCO, Nigeria  \n3Globacom Nigeria Limited, Nigeria  \n4Department of Computer Science, Texas Southern University, Texas, USA  \n*Corresponding Author: Blessing Austin-Gabriel  \n[Corresponding Author Email: ](Corresponding Author Email: blessingaustinn@gmail.com)[blessingaustinn@gmail.com](Corresponding Author Email: blessingaustinn@gmail.com)  \nArticle Received: 29-08-24 Accepted: 30-10-24 Published: 29-12-24  \nLicensing Details: Author retains the right of this article. The article is distributed under the terms of the  \nCreative Commons Attribution-NonCommercial 4.0 License  \n([http://www.creativecommons.org/licences/by-nc/4.0/](http://www.creativecommons.org/licences/by-nc/4.0/)) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the Journal open access page  \nABSTRACT  \nThis paper explores the application of Artificial Intelligence (AI) and Machine Learning (ML) in adaptive eLearning platforms designed for cybersecurity training, with a focus on entrepreneurs. Due to limited resources and technical expertise, entrepreneurs face unique challenges in protecting their businesses from cyber threats. Traditional training methods often fail to meet their needs, highlighting the importance of AI-driven platforms that offer personalized learning experiences. The paper examines the benefits of AI-powered eLearning systems, including improved engagement, real-time assessments, and adaptation to diverse learning styles. It also addresses emerging trends in AI and ML for cybersecurity education, the integration of adaptive eLearning into entrepreneurial support systems, and the ethical and regulatory implications of AIdriven learning. Finally, recommendations are provided for policymakers and educators to support  \nthe growth of AI in cybersecurity training. The findings suggest that AI-powered platforms can offer scalable, effective solutions for entrepreneurs to enhance their cybersecurity skills and protect their digital assets.  \nKeywords: Artificial Intelligence, Machine Learning, Cybersecurity Training, Adaptive eLearning, Entrepreneurs, Personalized Learning.  \nINTRODUCTION  \nOverview of the Growing Need for Cybersecurity Training Among Entrepreneurs  \nIn the digital age, entrepreneurs are more connected than ever to technology, which drives innovation, growth, and competitive advantage. However, this increased reliance on digital systems also exposes entrepreneurs to various cybersecurity risks (Saeed, Altamimi, Alkayyal, Alshehri, & Alabbad, 2023) . Cyberattacks such as data breaches, ransomware, phishing, and malware attacks are becoming more frequent and sophisticated, targeting businesses of all sizes. Entrepreneurs, particularly those operating small and medium-sized enterprises (SMEs), are especially vulnerable due to limited resources, expertise, and infrastructure to combat these threats. As a result, cybersecurity training is no longer optional but a critical necessity for entrepreneurs aiming to protect their digital assets, customer data, and business operations (Möller, 2023) .  \nMany entrepreneurs lack the technical knowledge to effectively implement cybersecurity practices. Unlike large corporations that have dedicated IT teams or the financial capacity to invest in advanced cybersecurity measu","cbCairKVBRmJw5Ht","https://ap.wps.com/l/cbCairKVBRmJw5Ht","pdf",363498,1,15,"English","en",105,"# Introduction\n## The growing need for cybersecurity training among entrepreneurs\n## The role of eLearning platforms in addressing the skills gap in cybersecurity\n## Limitations of traditional eLearning approaches","[{\"question\":\"Why is cybersecurity training especially important for entrepreneurs?\",\"answer\":\"Entrepreneurs rely heavily on digital systems and face increasing threats such as phishing, ransomware, and malware. Limited resources and expertise make them particularly vulnerable, so targeted training helps protect digital assets and business operations.\"},{\"question\":\"How do eLearning platforms help close the cybersecurity skills gap?\",\"answer\":\"eLearning provides flexibility, accessibility, and scalability, allowing entrepreneurs to learn on demand and at their own pace. It supports relevant, up-to-date content without requiring major time or financial investment.\"},{\"question\":\"What benefits do AI and machine learning add to adaptive eLearning for cybersecurity?\",\"answer\":\"AI-powered platforms can personalize learning paths, improve engagement, deliver real-time assessments, and adapt content to different learning styles. 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Limited resources and expertise make them particularly vulnerable, so targeted training helps protect digital assets and business operations.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How do eLearning platforms help close the cybersecurity skills gap?",{"text":80,"@type":76},"eLearning provides flexibility, accessibility, and scalability, allowing entrepreneurs to learn on demand and at their own pace. It supports relevant, up-to-date content without requiring major time or financial investment.",{"name":82,"@type":73,"acceptedAnswer":83},"What benefits do AI and machine learning add to adaptive eLearning for cybersecurity?",{"text":84,"@type":76},"AI-powered platforms can personalize learning paths, improve engagement, deliver real-time assessments, and adapt content to different learning styles. 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