Integrating Artificial Intelligence and E-Learning in Education: Examining Their Impact on Student Competency and Performance in Oman

Citation

Ahmad, Boumedyen and AlMaqbali, Said and Leow, Meng Chew and Marhoubi, Asmaa H. and Ong, Lee Yeng (2026) Integrating Artificial Intelligence and E-Learning in Education: Examining Their Impact on Student Competency and Performance in Oman. Contributions to Finance and Accounting. pp. 139-153. ISSN 2730-6038

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Abstract

The research explores how artificial intelligence (AI) and E-learning (EL) affect student competency (SC) and academic performance (SP) in the educational system of Oman. The study used SEM-PLS for analysis after collecting data through surveys from 277 participants. The study reveals AI as a significant multiplier of student competency by achieving a statistical significance of β = 0.226 (p = 0.000, t = 9.865). The effectiveness of student competency improvement on student performance assessment remains small (β = 0.010, p = 0.047, t = 1.680). The direct relationship between AI and student performance is greater (β = 0.209, p = 0.000, t = 7.211) than its intermediate association. SP receives the greatest impact from E-learning according to results (β = 0.293, p = 0.000, t = 10.787). The combination of AI technology with structured methods for competency development provides optimum learning results.

Item Type: Article
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28-70 Management. Industrial Management > HD30.2 Electronic data processing. Information technology. Including artificial intelligence and knowledge management
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 04 May 2026 06:34
Last Modified: 04 May 2026 06:34
URII: http://shdl.mmu.edu.my/id/eprint/15889

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