AI Literacy as a Key Driver of User Experience in AI-Powered Assessment: Insights from Socratic Mind
Meryem Yilmaz Soylu, Jeonghyun Lee, Jui-Tse Hung, Christopher Zhang Cui, David A. Joyner

TL;DR
This study reveals that students' AI literacy significantly influences their experience and perceived learning effectiveness with AI-powered assessment tools, emphasizing the importance of supporting diverse literacy levels in educational design.
Contribution
It demonstrates that AI literacy, not just prior exposure, predicts user experience and learning outcomes in AI-based assessments, informing better design strategies.
Findings
AI literacy predicts usability, satisfaction, and engagement.
Usability and satisfaction strongly influence perceived learning.
Prior AI exposure has no significant effect.
Abstract
As Artificial Intelligence (AI) tools become increasingly embedded in higher education, understanding how students interact with these systems is essential to supporting effective learning. This study examines how students' AI literacy and prior exposure to AI technologies shape their perceptions of Socratic Mind, an interactive AI-powered formative assessment tool. Drawing on Self-Determination Theory and user experience research, we analyze relationships among AI literacy, perceived usability, satisfaction, engagement, and perceived learning effectiveness. Data from 309 undergraduates in Computer Science and Business courses were collected through validated surveys. Partial least squares structural equation modeling showed that AI literacy - especially self-efficacy, conceptual understanding, and application skills - significantly predicts usability, satisfaction, and engagement.…
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