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AI-Assisted Formative Assessment in Neuroanatomy: Evaluating Student Motivation with the Modified Neuroanatomy
Sunit V Jadhav1, Mandar Ambike1, Arunprasad Vk1
1Symbiosis Medical college for Women, Symbiosis International University, Pune, India.
Purpose:
This study examined the motivational impact of ChatGPT-generated formative quizzes in a first-year neuroanatomy course. While AI tools are increasingly used in medical education, their influence on learner motivation remains underexplored.
Methods:
Students (N = 114) were grouped based on their engagement with AI-generated quizzes: full participation (Group A), partial participation (Group B), and no participation (Group C). Quizzes were created by ChatGPT using instructor-provided slides to ensure contextual relevance and accuracy of anatomical information. Student motivation was assessed using the Modified Neuroanatomy Motivation Questionnaire (NMQ), a validated instrument measuring self-efficacy, interest, and academic drive.
Results:
A one-way ANOVA revealed a significant difference in motivation scores among groups (F(2,111) = 5.83, p = 0.0039). Post-hoc analysis showed that Group A reported significantly higher motivation than Group B (p = 0.003). No significant differences were found between Groups A and C or B and C. The effect size between Groups A and B was moderate (Cohen's d = 0.70).
Conclusions:
Consistent engagement with AI-assisted formative quizzes was associated with higher student motivation. However, partial use yielded no measurable benefit. These findings underscore the importance of sustained participation in AI-enhanced learning tools to support learner motivation in anatomy education.
Supplementary Information:
The online version contains supplementary material available at 10.1007/s40670-025-02579-2.
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