The swift advancement of generative artificial intelligence (GenAI), illustrated by tools such as ChatGPT, has garnered substantial interest regarding its potential applications across diverse fields. This research investigates the influence of GenAI on self-efficacy, employing transactional stress theory as a framework. Conceptualizing GenAI as a potential stressor, the research examines how challenge appraisals mediate its effects on self-efficacy. The empirical data show that perceiving GenAI as a learning and problem-solving tool boosts confidence in their academic capabilities. Conversely, negative attitudes toward GenAI can reduce its positive effects. These findings extend the application of transactional stress theory to modern technologies, offering insights for policymakers on promoting positive engagement with GenAI.

Yinqi Ouyang, Adeshina Abdullah Ayinde. The Impact of Generative Artificial Intelligence Applications on the Development of Self-efficacy. Academic Journal of Computing & Information Science (2024), Vol. 7, Issue 11: 117-126. https://doi.org/10.25236/AJCIS.2024.071116.

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