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This study introduces the Questionnaire of AI Use Motives (QAIUM), an instrument designed to measure motivation levels in individuals using artificial intelligence (AI) applications. Building on a theoretical framework that emphasizes motivation over dispositions and defines motivation as expectancy/value, the QAIUM aims to fill a research gap in understanding the motivational factors that govern AI application use. Previous studies have often overlooked this human aspect, focusing instead on technological facets while failing to provide a robust theoretical foundation for measuring motivation. The QAIUM, administered to 1068 university students across various degree programs, was evaluated for its factorial structure, reliability, discriminatory capacity, and correlation with the General Attitudes to Artificial Intelligence Scale (GAAIS). The results demonstrate that the QAIUM aligns with the Eccles and Wigfield motivation model, boasts good reliability levels, discriminatory capacity, and a significant correlation with GAAIS, confirming its validation and reliability. Hence, the QAIUM provides an effective tool for investigating motivational factors affecting AI application utilization in academic instruction and intervention.
Yurt et al. (Sat,) studied this question.