Higher Education Transformation for Artificial Intelligence Revolution: Transformation Framework

Authors

  • Rawan Ghnemat Princess Sumaya University for Technology, Amman, Jordan
  • Adnan Shaout The University of Michigan, Dearborn, Michigan, USA
  • Abrar M. Al-Sowi University of Jordan, Amman, Jordan

DOI:

https://doi.org/10.3991/ijet.v17i19.33309

Keywords:

Artificial Intelligence, personalized Learning, Educational Data mining, smart education, active lifelong learning.

Abstract


The field of Artificial Intelligence in Education (AIED) will change the shape of education in the future completely, current classroom environment management, collaboration with teachers, and development of AI-based technology platforms. The intelligent adaptive transformation of learning and teaching in higher education required the emergence of all educational process structures. This paper presents a revolutionary educational process called AI-based learning, Which involves technologies within universities, cultures, practices, goals, and communities. This transformation reduces the gap between higher education’s outcome and industry’s needs, by producing lifelong learners. The proposed framework illustrates the full structure, the development steps, and the implementation benefits. The proposed framework also provides connections of scattered scientific research work in different related domains.  Using AI competency-based learning will let students achieve the course outcomes easier and faster and increase student engagement by solving real-life industrial problems in different application domains. The paper also presents implementations phases, benefits and provides a comparison after applying the framework.

Author Biographies

Rawan Ghnemat, Princess Sumaya University for Technology, Amman, Jordan

Rawan Ghnemat received her PhD in Computer Science, with distinction, from Le Havre University, France in 2009. Her study was funded by a French government scholarship. In 2009, she worked as assistant professor in the department of Computer Science at German-Jordanian University. She currently works as associate professor in the department of Computer Science at Princess Sumaya University for Technology. She has several scientific publications in artificial intelligence and data mining. Rawan Ghnemat has published on journal such as: international Journal of Bifurcation and Chaos, International.

Journal of Interactive Mobile Technologies, Journal of Software Engineering and applications, International Journal of Computers & Technology, she is a strategic steering committee member in an artificial intelligence powered search engines firm (GETJo Inc.), http://gaset-gbset.com/Team.html.

Adnan Shaout, The University of Michigan, Dearborn, Michigan, USA

Professor Adnan Shaout received his B. S., M. S. and Ph D degrees in 1982, 1983, and 1987 from Syracuse University respectively. Since 1987, he has been with the University of Michigan - Dearborn, where he is currently a full professor in the Electrical and Computer Engineering Department. His current research interests are in the areas of applications of fuzzy engineering applications, software engineering, computer design (hardware & software), intelligent Systems, and embedded systems. He hold the position of a visiting professor for Princess Sumaya University for the academic year 2015/2016. He has published in journals such as: the International Journal of Advanced Research in Computer and Communication Engineering, ACM Transaction on Software Engineering Methodology, the International Journal of Internet and Web Technology, the journal of intelligent & fuzzy systems – Applications in Engineering and Technology, The journal of Expert Systems with Applications.

Abrar M. Al-Sowi, University of Jordan, Amman, Jordan

Abrar M. Al-Sowi received her master’s degree, with distinction, in Information System from the University of Jordan in 2021. She received the grant as a teacher assistance at the Computer Information System department between 2019-2020. Currently, Abrar, beside her full-time job in IT solution provider, focuses on the research of Artificial Intelligence, Machine Learning, and Data Mining. She has published in journals such as the Journal of Theoretical and Applied Information Technology.

  

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Published

2022-10-14

How to Cite

Ghnemat, R., Shaout, A. ., & Al-Sowi, A. M. (2022). Higher Education Transformation for Artificial Intelligence Revolution: Transformation Framework. International Journal of Emerging Technologies in Learning (iJET), 17(19), pp. 224–241. https://doi.org/10.3991/ijet.v17i19.33309

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Papers