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To address the need for processing diverse, continuous data, cognification applies complex analytics to align natural intelligence with artificial smartness and potentially disrupt online education trends.",{"@graph":14,"@context":65},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & Report",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/cognification-in-teaching-learning-and-training-special-issue-2022/598345/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/cognification-in-teaching-learning-and-training-special-issue-2022/598345.png","ImageObject",300,407,{"name":42,"@type":43},"Mafia Boss","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-11-06","2026-10-15",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",8,{"@type":57,"mainEntity":58},"FAQPage",[59],{"name":60,"@type":61,"acceptedAnswer":62},"How can cognification affect learner experiences and online education trends?","Question",{"text":63,"@type":64},"By analyzing rich datasets ethically, cognification can enrich and personalize student learning experiences. 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Learners around the world now have digital access to a wide array of corporate trainings, certifications, comprehensive academic degree programs, and other educational and training options. Some organizations are blending traditional instruction methods with online technologies. Blended learning generates large volumes of data about both the content (quality and usage) and the learners (study habits and learning outcomes) . Correspondingly, the need to properly process voluminous, continuous, and often disparate data has prompted the advent ofcognification. Cognification techniques design complex data analytic models that allow natural intelligence to engage artificial smartness in ways that can enhance the learning experience. Cognification is the approach to make something increasingly, ethically, and regulatably smarter. This article highlights how emerging trends in cognification could disrupt online education. Keywords: Cognification, AI in education, Fourth industrial revolution, Educational technology  \nRésumé  \nAu cours de la dernière décennie, les possibilités d'apprentissage en ligne ont augmenté de façon remarquable. Les apprenants du monde entier ont maintenant un accès numérique à un large éventail de formations d'entreprise, de certifications, de programmes universitaires complets etd'autres options d'éducation et de formation. Certaines organisations combinent les méthodes d'enseignement traditionnelles avec les technologies en ligne. L'apprentissage hybride génèred'importants volumes de données concernant à la fois le contenu (qualité et utilisation) et les apprenants (habitudes d'étude et résultats d'apprentissage) . En conséquence, la nécessité de traiter  \nCJLT/RCAT Vol. 48 (4)  \ncorrectement des données volumineuses, continues et souvent divergentes a entraîné l'avènement de la cognification. Les techniques de cognification conçoivent des modèles d'analyse de données complexes qui permettent à l'intelligence naturelle de mobiliser l'intelligence artificielle de manière à améliorer l'expérience d'apprentissage. La cognification est l'approche qui consiste à rendre quelque chose de plus en plus intelligent, de manière éthique et régulée. Cet article souligne comment les tendances émergentes en matière de cognification pourraient bouleverserl'enseignement en ligne.  \nMots-clés : Cognification ; IA dans l'éducation ; quatrième révolution industrielle ; technologie éducative  \nIntroduction  \nThe agricultural revolution and three subsequent industrial revolutions, aided by advancing communication channels, enabled societies to transform (Yusuf et al., 2020) . Their paces of adoption allowed societies to accommodate the disruptive changes that the innovations brought. The agricultural revolution, the slowest one and a precursor to the industrial revolutions, spread as foragers started to adapt the domestication of animals and associated farming methods. The first industrial revolution introduced the mechanization of goods production and spread at apace afforded mainly by roads and railroads using steam-powered machines. The second industrial revolution brought electrification and assembly-line mass production of goods to societies at a pace associated with electrical connectivity networking. The third industrial revolution electronified and computerized societies at the pace of telephonic and early-Internet communication. The fourth industrial revolution, currently ongoing, percolates our societies atthe pace of light, afforded by the I","cbCaikRspvOfhif2","https://ap.wps.com/l/cbCaikRspvOfhif2","pdf",168435,17,"English","# Abstract\n# Introduction\n# Cognification in Education","[{\"question\":\"How can cognification affect learner experiences and online education trends?\",\"answer\":\"By analyzing rich datasets ethically, cognification can enrich and personalize student learning experiences. The document also highlights that emerging cognification trends could disrupt online education.\"}]","Cognification in Teaching, Learning, and Training - Special Issue 2022 | PDF",43]