Monica Dewi, Nofriska Krissanya
This study explores the influence of Artificial Intelligence (AI) and social media integration on student motivation through the lens of Self-Determination Theory (SDT), which emphasizes autonomy, competence, and relatedness as key motivational constructs. Utilizing a quantitative explanatory approach, data were collected from 100 Generation Z university students who actively use AI-based educational tools and social media for academic purposes. Structural Equation Modeling with Partial Least Squares (SEM-PLS) was employed to test the proposed relationships among AI integration, social media use, SDT dimensions, and student motivation. The results reveal that both AI and social media significantly contribute to student motivation, with SDT acting as a key mediating construct. AI enhances personalization and autonomy, while social media promotes collaboration and relatedness. The findings underscore the strategic potential of technology in fostering intrinsic motivation and improving educational engagement. This study contributes to the growing body of literature advocating for the pedagogical alignment of technology and psychological motivation theories in higher education. © 2025 IEEE.
Universitas Negeri Jakarta, Faculty of Economics and Business, Jakarta, Indonesia
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