Home > Archive > 2023 > Volume 13 Number 11 (Nov. 2023) >
IJIET 2023 Vol.13(11): 1704-1712
doi: 10.18178/ijiet.2023.13.11.1979

Smart Education for Industry 4.0 Sustainable Futures: A New Theory of Maximization for Learner Success

Ossama H. Embarak* and Shatha Hawarna

Manuscript received March 17, 2023; revised March 31, 2023; accepted April 10, 2023.

Abstract—This research presents a novel theory of maximization aimed at enhancing learners’ performance in sustainable education. The theory proposes a comprehensive model that integrates four key dimensions: Knowledge Leverage, Technical Skills Scaling, Soft Skills Scaling, and Personality reshaping. The effectiveness of the theory is evaluated through a combination of theoretical analysis and experimental processing, utilizing machine learning algorithms (logistic regression) to gather parameters on learners’ performance in these dimensions in real time. The proposed theory of maximization introduces a dynamic and live monitoring system for learners, which raises alerts when performance declines and provides targeted suggestions for improving specific knowledge or skills. The results of the study demonstrate the potential of the proposed theory in positively impacting at-risk students, with a reduction in at-risk rates by 35% in the Security major and 33% in the Application Development major, compared to a baseline of 48%. Additionally, the proposed theory assists in major selection and provides proactive advising, leading to a learner retention rate of above 90%, significantly higher than the previous rate of 70%, particularly during the early stages of joining the college which also reduces the cost of education. Despite some limitations, such as small sample sizes and privacy issues, the proposed theory has promising implications for the field of smart and sustainable education, providing valuable insights for practitioners and researchers.

Index Terms—Smart Education, maximization theory, sustainable education, learners’ performance, education optimization techniques, education automation tools

Ossama H. Embarak is with the Department of Computer Sciences, Higher Colleges of Technology, UAE.
Shatha Hawarna is with the Department of General Education, Hamdan Bin Mohammed Smart University, UAE. E-mail: s.hawarna@hbmsu.ac.ae (S.H.)
*Correspondence: oembarak@hct.ac.ae (O.H.E.)

[PDF]

Cite: Ossama H. Embarak* and Shatha Hawarna, "Smart Education for Industry 4.0 Sustainable Futures: A New Theory of Maximization for Learner Success," International Journal of Information and Education Technology vol. 13, no. 11, pp. 1704-1712, 2023.

Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Managing Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2022: 2.0), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • E-mail: ijiet@ejournal.net

 

Article Metrics in Dimensions