Academic stress, AI attitude and mental toughness in young adults

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dc.contributor.authorSehrish Khan
dc.contributor.authorAreej Shehzadi
dc.contributor.authorMalaika Sadiq
dc.date.accessioned2025-11-25T06:14:06Z
dc.date.available2025-11-25T06:14:06Z
dc.date.issued2024
dc.description.abstractThe current study aimed to explore the relationship among academic stress, AI attitude and mental toughness in young adults. This research used correlational research design to explore the relationship. A quantitative approach was used and data was collected through purposive sampling with inclusion criteria of AI familiarity/usage and private and government universities’ young adults. The variables were measured by standardized questionnaires namely Academic Stress Scale (ASS) (Khan & Jabeen, 2016), AI Attitude Scale (AAS) (Ahmad et al., 2023) and Mental Toughness (MTS) (Anthoney & Saleem, 2015). The findings revealed a significant negative correlation between academic stress and mental toughness. While, there was a non-significant negative relationship between academic stress and negative AI attitude. Conversely, there was a significant positive association between negative AI attitude and mental toughness in young adults. In addition, academic stress and gender were significantly negatively predicting mental toughness whereas AI attitude was the significant positive predictor of mental toughness. The results also showed that male and female groups were significantly differing in mental toughness. The findings of this study highlights the need for developing ethical and responsible use of AI and promoting digital literacy in young adults through workshops, to avoid dependency on AI tools, which can strengthen mental toughness in today's advanced tech era.
dc.identifier.urihttps://escholar.umt.edu.pk/handle/123456789/12691
dc.language.isoen
dc.publisherUMT, Lahore
dc.titleAcademic stress, AI attitude and mental toughness in young adults
dc.typeThesis
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