Enhancing learning motivation in financial literacy
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2024-07-04
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en
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Purpose: This study examines the impact of artificial intelligence (AI) in an educational setting. Specifically, it examines the roles of personalization, visual attention, perceived AI usefulness, and learning motivation in financial literacy using AI are examined. By investigating these factors, this study aims to improve the interaction between users and AI.
Design/methodology: A between-subjects design was used with 117 students from Radboud University in the Netherlands. Participants were randomly assigned to a personalized or non-personalized condition, and comparing these responses provided insights for designing AI assistants in educational settings. The experiment was conducted using the Wizard-of-Oz (WOZ) method, and IBM SPSS Statistics and SmartPLS are used to analyze the laboratory experiment data.
Findings: Personalized content has a positive effect on students’ learning motivation, but perceived AI usefulness fully mediates this relationship. Furthermore, there is no evidence that personalization influences visual attention, and in turn, visual attention does not affect perceived AI usefulness. However, visual attention negatively influences learning motivation. The results show the importance of perceived usefulness as a key mediator for enhancing learning motivation.
Theoretical implications: This study provides theoretical contributions to the field of AI, particularly in the context of education. Furthermore, this study enhances the methodology of research on AI in human-robot interactions. Additionally, this study contributes to the understanding of the factors influencing learning motivation and highlights the importance of personalization and perceived usefulness.
Managerial implications: The findings offer valuable implications in the changing educational landscape. AI tools, when personalized and perceived as useful, can increase students’ learning motivation. Students’ majors and gender also influenced their engagement with AI.
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Faculteit der Managementwetenschappen