AI-Generated Affirmations and Self-Confidence among Filipino College Students
DOI:
https://doi.org/10.11594/Keywords:
AI-generated affirmations, College students, Self-confidence, Self-efficacyAbstract
The growing presence of artificial intelligence (AI) in everyday life has opened new possibilities for supporting psychological well-being, including the use of AI-generated affirmations to strengthen positive self-perceptions. This study investigated whether AI-generated affirmations could influence the self-confidence of Filipino college students. Using a quasi-experimental pretest-posttest control group design, the study involved 280 undergraduate students from a private university in the Philippines. Participants were assigned either to an experimental group that received AI-generated affirmations or to a control group that did not receive the intervention. Self-confidence was measured before and after the intervention using a standardized self-report scale. Data were analyzed through paired-samples and independent-samples t-tests to examine changes within and between groups. Findings showed a significant increase in self-confidence among students who received the AI-generated affirmations, whereas the control group showed no significant change. These results suggest that even brief, automated affirmations may help improve how students view themselves, particularly in relation to confidence. The findings also point to the potential of AI-based tools as accessible and scalable forms of support for student well-being in educational settings. More broadly, the study contributes to the growing discussion on how AI can be used not only for academic tasks, but also for psychological and emotional support among students.
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References
American Psychological Association (2022) Stress in America 2022: Concerned for the future, beset by inflation. American Psychological Association.
Anque T, Ceballo E (2023) The moderating effect of self-esteem on the relationship between perceived social support and psychological well-being among adoles-cents. Psychology and Education: A Mul-tidisciplinary Journal, 12(3):217–229. https://doi.org/10.5281/zenodo.8246191
Arsenal EE, Capistrano LV, De Guzman MD, Forrosuelo MM, Miranda JM (2024) Com-parative analysis of Reddit posts and ChatGPT-generated texts’ linguistic fea-tures: A short report on artificial intelli-gence’s imitative capabilities. Interna-tional Journal of Multidisciplinary: Ap-plied Business and Education Research, 5(9):3475–3481. http://dx.doi.org/10.11594/ijmaber.05.09.06
Bandura A (1997) Self-efficacy: The exercise of control. New York: W.H. Freeman.
Besekar J, Holmström L, Andersson G, Carl-bring P (2024) Short-term digital inter-ventions for self-esteem and emotional regulation: A meta-analytic review. Com-puters in Human Behavior, 146:107814. https://doi.org/10.1016/j.chb.2023.107814
Bosbach K, Schoenenberg K, Martin A (2023) Development and evaluation of an ac-ceptance-facilitating intervention for an internet-based cognitive behavioral self-esteem training for adults with body dysmorphic symptoms. Journal of Obses-sive-Compulsive and Related Disorders, 37:100798. https://doi.org/10.1016/j.jocrd.2023.100798
Huang J, Zhai X, Chen L (2024) Generative arti-ficial intelligence in education: Opportu-nities, challenges, and future directions. Educational Technology Research and Development. https://doi.org/10.1007/s11423-024-10274-2
Miner AS, Milstein A, Schueller S, Hegde R, Mangurian C (2019) Smartphone-based conversational agents and responses to questions about mental health, interper-sonal violence, and physical health. JAMA Internal Medicine, 179(5):619–625. https://doi.org/10.1001/jamainternmed.2018.7669
Montag C, Yang H, Elhai JD (2024) On the psy-chology of generative artificial intelli-gence: Emerging research and implica-tions. AI & Society. https://doi.org/10.1007/s00146-023-01740-1
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Data Availability Statement
The datasets generated and analyzed during the current study are not publicly available due to ethical and confidentiality considerations, as they involve student responses that could compromise participant privacy. Anonymized data may be made available by the corresponding author upon reasonable request and subject to institutional approval.
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Copyright (c) 2026 Antonio Ponciano Rodil, Kimberly Ann Cantilero, Irish Robin Quinaño, Anna Liza Bustamante, Stephanie Lopez, Kallie Ysavelle Segundo, Jerald Vergara
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