Student Readiness for AI in Business: Roles of Literacy, Attitude, and Practical Engagement
Keywords:
AI Literacy, Affective Attitude, Practical Engagement, Business Education, Student ReadinessAbstract
Purpose: This study investigates the determinants of student readiness for artificial intelligence (AI) integration in business education, emphasizing the roles of AI literacy, affective attitude, and practical engagement. The research addresses the increasing demand for future business professionals equipped to operate in AI-enhanced environments.
Methodology: A quantitative approach was employed using survey data from 177 undergraduate students in the Greater Jakarta area. Constructs were measured through validated instruments and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to examine both direct and mediated relationships among variables.
Findings: The results reveal that all three factors—AI literacy, affective attitude, and practical engagement—significantly influence readiness for AI integration. Affective attitude emerged as the strongest predictor, mediating the effects of both literacy and engagement. Practical engagement had the most substantial impact on affective attitude, while literacy influenced readiness both directly and indirectly.
Conclusion: The findings suggest that enhancing AI readiness requires a holistic educational framework integrating conceptual knowledge, experiential exposure, and emotional receptivity. Curriculum designers should focus on affective learning strategies alongside technical training to foster a workforce capable of navigating AI-driven business contexts.
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