Akram Marwan

Abstract

Sustainable development has been a global goal and one of the key enablers to achieve the sustainable development goals is by securing decent jobs. However, decent jobs rely on the quality of education an individual has got, which value the importance of studying new education for employment frameworks that work. With the evolution of artificial intelligence that is influencing every industry and field in the world, there is a need to understand the impact of such technology on the education for employment process. The purpose of this study is to evaluate and assess how AI can foster the education for employment process? And what is the harm that such technology can brings on the social, economical and environmental levels? The study follows a mapping methodology using secondary data to identify and analyze AI powered startups and companies that addressed the learning and employability gaps. The study revealed twelve different AI applications that contribute to 3 main pillars of education for employment; career exploration and choice, skills building, and job hunting. 94% of those applications were innovated by startups. The review of literature and study results showed that AI can bring new level of guidance for individuals to choose their university or career, personalized learning capabilities that adapt to the learner's circumstance, and new whole level of job search and matchmaking.

Degree Name

MS in Sustainable Development

Graduation Date

2-1-2020

Submission Date

December 2019

First Advisor

Ismail, Ayman

Committee Member 1

Bali, Maha

Committee Member 2

Radwan, Sally

Extent

119 p.

Document Type

Master's Thesis

Rights

The author retains all rights with regard to copyright. The author certifies that written permission from the owner(s) of third-party copyrighted matter included in the thesis, dissertation, paper, or record of study has been obtained. The author further certifies that IRB approval has been obtained for this thesis, or that IRB approval is not necessary for this thesis. Insofar as this thesis, dissertation, paper, or record of study is an educational record as defined in the Family Educational Rights and Privacy Act (FERPA) (20 USC 1232g), the author has granted consent to disclosure of it to anyone who requests a copy.

Institutional Review Board (IRB) Approval

Not necessary for this item

Comments

I would like to thank and share my gratitude to those who have contributed to make my thesis possible. First, I would like to thank my supervisor, Dr. Ayman Ismail, for his support, advices, guidance and structured directions. It was a full enriching experience during which I shifted this study, upon his guidance, from an academic research to a real insightful practical learning experience. Special thanks to Dr. Hani Sewilam. You have been more than a professor, a mentor and a father. Whenever there was a problem, obstacle or issue, you have been there to support. I still remember your intimate advices

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