Determinants of Artificial Intelligence Utilization and Its Impact on Learning Quality among Generation Z Students
https://doi.org/10.56225/jmsc.v4i2.499
Keywords:
Artificial Intelligence Utilization, Digital Competence, Learning Quality, Generation Z, Higher EducationAbstract
The rapid integration of Artificial Intelligence (AI) in higher education has created new opportunities to enhance learning quality, particularly among Generation Z students who are highly engaged with digital technologies. However, the effectiveness of AI depends on students’ digital competence and its practical application in learning environments. This study aims to examine the relationships among digital competence, AI utilization, and learning quality, and the mediating role of AI utilization among Generation Z students at private universities in Bogor City. A quantitative explanatory research design was employed, with data collected from 220 respondents using purposive sampling. Structural Equation Modeling (SEM) with LISREL 8.8 was used to analyze the data. The results indicate that digital competence has a positive and significant effect on AI utilization, but its direct effect on learning quality is not significant. In contrast, AI use has a positive, significant effect on learning quality. Furthermore, AI utilization is found to significantly mediate the relationship between digital competence and learning quality, indicating that digital skills contribute to learning outcomes primarily through their application in AI-supported learning. These findings suggest that the effectiveness of digital competence depends on how it is operationalized through AI technologies. Therefore, higher education institutions should not only enhance students’ digital competence but also promote the effective integration of AI into teaching and learning processes to improve overall learning quality.
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