Higher Education Transformation for Artificial Intelligence Revolution: Transformation Framework
DOI:
https://doi.org/10.3991/ijet.v17i19.33309Keywords:
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.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Dr.Rawan Ghnemat, Dr.Adnan Shaout, Abrar M. Al-Sowi
This work is licensed under a Creative Commons Attribution 4.0 International License.
The submitting author warrants that the submission is original and that she/he is the author of the submission together with the named co-authors; to the extend the submission incorporates text passages, figures, data or other material from the work of others, the submitting author has obtained any necessary permission.
Articles in this journal are published under the Creative Commons Attribution Licence (CC-BY What does this mean?). This is to get more legal certainty about what readers can do with published articles, and thus a wider dissemination and archiving, which in turn makes publishing with this journal more valuable for you, the authors.
By submitting an article the author grants to this journal the non-exclusive right to publish it. The author retains the copyright and the publishing rights for his article without any restrictions.