Abstract
This paper explores how Artificial Intelligence, Machine Learning, Natural Language Processing could enhance asynchronous human learning; particularly, mobile, mass-customized, individualized, career certification training. The paper states the research questions and addresses the relevant problems, issues, challenges, opportunities, strategies, and technologies crucial to enable machines to assess the learners’ current abilities and competencies. And to prescribe a unique certification training plan for the learner with supervised assistance of a human in a human-machine collaboration.
Presenters
Walter RodriguezProfessor , Information Systems, Florida Gulf Coast University, United States
Details
Presentation Type
Theme
KEYWORDS
AI, Machine Learning, Natural Language Processing, Individualized Human Learning
Digital Media
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