Evaluating Mobile GenAI and Goal-Seeking: Connecting AI Technology Anxiety with Meaning in Life

Linying Li; Marut Patphol; Khanittha Saleemad

doi:10.3991/ijim.v20i09.61489

Authors

Linying Li Srinakharinwirot University, Bangkok, Thailand
Marut Patphol Srinakharinwirot University, Bangkok, Thailand https://orcid.org/0000-0001-5997-2822
Khanittha Saleemad Srinakharinwirot University, Bangkok, Thailand https://orcid.org/0000-0001-5997-2822

DOI:

https://doi.org/10.3991/ijim.v20i09.61489

Keywords:

Blockchain, Artificial Intelligence, Mobile Learning, Logistics, Technology Acceptance, Operational Efficiency, Socio-technical Systems, Supply Chain Management

Abstract

As artificial intelligence (AI) changes higher education, students are experiencing more technology-related anxiety and uncertainty about their future. This study examines how anxiety about AI affects students’ sense of meaning in life, drawing on Significance Quest and Goal Systems theories. We focused on how Mobile Device GenAI Usage Evaluation (MDGUE) and goal-seeking act as mediators in this process. We collected survey data from 695 Chinese university students and analyzed the results using structural equation modeling (SEM). The results show that anxiety about AI technology can actually increase students’ sense of meaning in life by prompting them to reflect on their purpose. However, this effect only happens through a chain of cognitive and motivational steps. MDGUE fully explains this link, while goal-seeking explains part of it; together, they make up 89.4% of the total effect. The findings suggest that anxiety only helps students find meaning when they see Generative AI (GenAI) as useful, which in turn encourages them to set positive goals. We suggest that technological stress is not always harmful and can lead to personal growth if students change how they think and feel about AI. Universities should help students see the benefits of AI tools to support this positive change.

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