Does Cognitive Analytics Hold a Key to Solving Mena’s Youth Unemployment Problem?

EasyChair Preprint 3322

Abstract

According to test scores, students in the Middle East/North Africa (MENA) are at the bottom of nearly all international learning measurement tests. Regardless of test scores, youth in MENA (i.e. 15-24-year-olds) are facing the highest rates of unemployment of any world region. Coupled with this, the world of work is changing dramatically. Employers’ skill demands for ‘new hires’ are fading away and being replaced by self-employed entrepreneurs who must take responsibility for their own employment. Given the very high rates of youth unemployment, the limited skills of the majority of teachers in public education and that most students must unlearn a system that was all they’ve experienced from childhood onward…is it feasible that cognitive analytics could address these complex requirements?

Keyphrases: Cognitive Analytics, Education, Entrepreneurship, MENA, Middle East/North Africa, Value Stream Mapping, active learning, collaborative problem solving, public education, training

@booklet{EasyChair:3322,
  author    = {Victoria Hill},
  title     = {Does Cognitive Analytics Hold a Key to Solving Mena’s Youth Unemployment  Problem?},
  howpublished = {EasyChair Preprint 3322},
  year      = {EasyChair, 2020}}