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All Journal Meteor STIP Marunda
Titis Ari Wibowo
Maritime Institut,Sekolah Tinggi Ilmu Pelayaran Jakarta,North Jakarta
Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Transportation

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The Effect of Artificial Intelligence (AI) Technology Use and Learning Motivation on Student Academic Achievement in Higher Education Titis Ari Wibowo; Jarot Delta Susanto
Meteor STIP Marunda Vol. 19 No. 1 (2026): Vol 19 No 1 (2026): June
Publisher : Meteor STIP Marunda

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Abstract

This study analyses the effect of the use of Artificial Intelligence technology and learning motivation on student academic achievement. The sample consisted of 162 active students drawn from each semester level of the Nautical Science, Marine Engineering, and Maritime Transport and Port Management (KALK) study programmes, with data collected through a questionnaire. Data were analysed in SmartPLS 4 using a path analysis approach to test the relationships between variables. The results show that the use of AI technology has a positive and significant effect on student academic achievement, with a path coefficient of 0.275 (p = 0.000). Learning motivation also has a positive and significant effect and is the most dominant variable, with a path coefficient of 0.703 (p = 0.000). The model explains 72.6% of the variance in student academic achievement. It can therefore be concluded that the use of AI technology and learning motivation are important factors in improving academic achievement among students of the Nautical Science, Marine Engineering, and KALK study programmes at the Maritime Institute of Jakarta.
Co-Authors Jarot Delta Susanto