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Abstract
This study aims to analyze the effect of Attainment Value, Intrinsic Value, Utility Value, the Perceived Value of Generative AI, and Student Motivation. It seeks to identify how different dimensions of Attainment Value, Intrinsic Value, Utility Value, and the Perceived Value of Generative AI influence Student Motivation. Moreover, the study examines the role of Information Literacy affecting the Perceived Value of Generative AI and Student Motivation. A quantitative approach was adopted, gathering responses from 275 master’s students from Tribhuvan University-affiliated campuses in Butwal Sub-Metropolitan City, Nepal, using a structured questionnaire and a convincing sampling method. Data were analyzed using PLS-SEM software, including assessment of measurement items, model fit, IPMA, and bootstrapping techniques for hypothesis testing. The results revealed that Attainment Value is a major predictor of the Perceived Value of Generative AI. Likewise, Information Literacy plays a vital mediating role in the relationship between the Perceived Value of Generative AI and Student Motivation. It is evident that Attainment Value, Intrinsic Value, Utility Value, and the Perceived Value of Generative AI are major contributors to Student Motivation. Therefore, the management of master’s programs at Tribhuvan University affiliated campuses in Butwal Sub-Metropolitan City, Nepal, should consider these aspects to enhance student motivation. By understanding and reformulating policies based on these factors, there is a higher possibility of improving student motivation.
Keywords: Attainment Value, Intrinsic Value, Perceived Value of Generative AI, Student Motivation and Information Literacy.