Cognification in Teaching, Learning, and Training

Translated title of the contribution: Cognification in Teaching, Learning, and Training

Vivekanandan Kumar, Mohamed Ally, Avgoustos Tsinakos, Helmi Norman

Research output: Contribution to journalJournal Articlepeer-review


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 article highlights how emerging trends in cognification could disrupt online education.

Translated title of the contributionCognification in Teaching, Learning, and Training
Original languageEnglish
JournalCanadian Journal of Learning and Technology
Issue number4
Publication statusPublished - 29 Nov. 2022


  • AI in education
  • Cognification
  • Educational technology
  • Fourth industrial revolution


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