ABSTRACT. I inspect the relevant literature on smart education, providing both quantitative evidence on trends and numerous in-depth empirical examples. Using data from Deloitte, Forrester, HubSpot, Ironpaper, Narrative Science, O*NET database, and Statista, I performed analyses and made estimates regarding barriers to automation (social intelligence, creative intelligence, and perception and manipulation correlate with lower average automation index), percentage interested in interacting with artificial intelligence-based tools, use of artificial intelligence technology in enterprises (voice recognition and response solutions/machine learning/virtual personal assistants/systems used for decision support/ automated written reporting and/or communications/analytics-focused applications/robotics), which machine learning use cases respondents have in place or planned in their enterprise, and what best describes the respondents’ feeling of preparedness to bring humans (change management) and technology (operations, applications, and support) together to solve issues arising from smart machine technologies.

Keywords: cognitive engagement; machine intelligence algorithm; learning environment

How to cite: Sion, Grațiela (2018). “Smart Educational Ecosystems: Cognitive Engagement and Machine Intelligence Algorithms in Technology-Supported Learning Environments,” Analysis and Metaphysics 17: 140–145.

Received 16 July 2018 • Received in revised form 12 September 2018
Accepted 22 September 2018 • Available online 9 December 2018

doi:10.22381/AM1720189