Home > Published Issues > 2025 > Volume 11, Number 1, 2025 >
IJLT 2025 Vol.11(1): 1-6
doi: 10.18178/ijlt.11.1.1-6

Application of Artificial Intelligence (AI) in Higher Education (HE) for Enhanced Learning and Employability

Rachel John Robinson
Department of Computer Science, IT & Business Informatics Faculty, IU Hochschule Berlin, Berlin, Germany
Email: rachel.john-robinson@iu.org; info@rachel-johnrobinson.com

Manuscript received April 30, 2024; revised June 28, 2024; accepted July 2, 2024; published January 22, 2025.

Abstract—The paper conveys a significant expansion to the themed investigation of enhanced learning and employability in Higher Education (HE). Giving an extensive story to nine distinct and focal subjects. These reach from repetitive points, for example, proportions of work and employability, profession arranging, and scrutinizes of employability; through to topical, basic, and ideal contemplations around uniformity, opportunity, and assessment advancement in the age of Artificial Intelligence (AI). The survey will address specialists, experts, scholastics, scientists, and pioneers the same; giving a secret weapon that will assist with creating strategy and practice around here. It is obvious that there remains effective and fiery discussion with respect to employability in Higher Education. Perceiving the requirement for this to be multi-layered, there is a lot of inside the survey that will be useful in supporting people and establishments across the globe to empower student achievement eventually. It’s a timely add for a profoundly of ‘what works’ in employability and higher education. 
 
Keywords—Artificial Intelligence (AI) in higher education, employability, applications 

Cite: Rachel John Robinson, "Application of Artificial Intelligence (AI) in Higher Education (HE) for Enhanced Learning and Employability," International Journal of Learning and Teaching, Vol. 11, No. 1, pp. 1-6, 2025.

Copyright © 2025 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).