Cognification in Education: Emerging Trends

dc.contributor.authorKumar, Vivekanandan
dc.contributor.authorAlly, Mohamed
dc.contributor.authorTsinakos, Avgoustos
dc.contributor.authorNorman, Helmi
dc.coverage.placeNameCanada
dc.coverage.spatialCaribbean and Americas
dc.date.accessioned2022-08-17T12:24:03Z
dc.date.available2022-08-17T12:24:03Z
dc.date.issued2022-09
dc.description.abstractPCF10 Sub-theme: Inspiring Innovations // Over the past decade, opportunities for online learning have dramatically increased. 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 of cognification. 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 paper highlights how emerging trends in cognification could disrupt online education. // Paper ID 5611
dc.identifier.doihttps://doi.org/10.56059/pcf10.5611
dc.identifier.urihttp://hdl.handle.net/11599/4268
dc.language.isoen
dc.publisherCommonwealth of Learning (COL)
dc.rights.urihttps://creativecommons.org/licenses/by-sa/4.0/
dc.subjectArtificial Intelligence (AI)
dc.subjectFourth Industrial Revolution (4IR)
dc.subjectEducational Technology
dc.subjectOnline Learning
dc.subjectBlended Learning
dc.subjectTraining
dc.titleCognification in Education: Emerging Trends
dc.typeWorking Paper
dspace.entity.type
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