Artificial Intelligence Learning Requirements

The consortium of The Future is in Applied Artificial Intelligence Project designed the first competency-based applied artificial intelligence curriculum at the high-education institution level. The development was based on advanced system research of existing artificial intelligence-related resources and surveying target groups of teachers, information technologies students, and employers which should enhance the performance of implementing artificial intelligence education. A review of applied artificial intelligence was prepared in the form of keyword clustering. The initial data was collected with the help of surveying, gathering job offers, existing artificial intelligence training courses, scientific projects, and real cases. Synthetic analysis of the textual information from the studies was using the word clouds technique. Tensor-based approach was used for the presentation of the competence-based course. The specific numerical requirements for the course in the form of priorities follow from the solution of decision-making problems using the analytic hierarchy process technique. Based on the comprehensive study of the surveys, educational experience, scientific projects, and business requirements, a meta-analysis of the recent references, we specified the criteria for a training course in the form of a tensor-based representation of competencies in relation to the content and educational modules.

Full paper can be found here: A3_3_LearningRequirements