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arxiv: 2310.04631 · v2 · pith:ODRHXEUI · submitted 2023-10-07 · cs.HC

Trust in Generative AI among students: An Exploratory Study

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classification cs.HC
keywords genaistudentstrustdifferentgenerativelearninglevelssystems
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Generative artificial systems (GenAI) have experienced exponential growth in the past couple of years. These systems offer exciting capabilities, such as generating programs, that students can well utilize for their learning. Among many dimensions that might affect the effective adoption of GenAI, in this paper, we investigate students' \textit{trust}. Trust in GenAI influences the extent to which students adopt GenAI, in turn affecting their learning. In this study, we surveyed 253 students at two large universities to understand how much they trust \genai tools and their feedback on how GenAI impacts their performance in CS courses. Our results show that students have different levels of trust in GenAI. We also observe different levels of confidence and motivation, highlighting the need for further understanding of factors impacting trust.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Trust in AI among Middle Eastern CS Students: Investigating Students' Trust and Usage Patterns Across Saudi Arabia, Kuwait and Jordan

    cs.HC 2026-04 unverdicted novelty 4.0

    Replication survey in three Middle Eastern countries finds language fluency predicts AI trust, with female students in Saudi Arabia showing lower trust than males unlike US patterns.