Descriptive-correlational study finds AI adoption enhances academic buoyancy and psychological well-being among students, suggesting effective educational integration.
Artificial Intelligence (AI) has emerged as a transformative force in education, offering adaptive and personalized learning experiences that can enhance both academic outcomes and student well-being. This study examined the relationship between AI tool adoption, academic buoyancy, and psychological well-being among senior high school and college students in a selected private school in Laguna, Philippines. Guided by the Self-Determination Theory and Cognitive Load Theory, a descriptive-correlational design was employed using total enumeration sampling. Eighty-two students aged 16–24 completed a validated, paper-based survey comprising demographic information, the Technology Acceptance Model (perceived usefulness, ease of use, and user acceptance), the Academic Buoyancy Scale, and the Psychological Well-Being Scale. Results revealed high levels of AI adoption, academic buoyancy, and psychological well-being across the sample. Pearson correlation analysis indicated a significant moderate positive relationship between AI adoption and academic buoyancy (p < 0.05), as well as between AI adoption and psychological well-being (p < 0.05). Age and educational level significantly influenced academic buoyancy, whereas sex and place of residence did not. These findings highlight AI tools’ potential to foster resilience, adaptability, and mental well-being when integrated into supportive educational environments. The study recommends the development of AI-based programs to promote equitable access, strengthen academic support systems, and enhance student wellness.
No takes yet. Share an insight, caveat, or question.
Wendelyn Mariano (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: