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’ 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.
Thu 21 MarDisplayed time zone: Pacific Time (US & Canada) change
10:45 - 12:00 | |||
10:45 25mTalk | Trust in Generative AI among Students: An Exploratory Study Papers Matin Amoozadeh University of Houston, David Daniels University of Houston, Daye Nam Carnegie Mellon University, Aayush Kumar IIT Kanpur, stella chen University of Houston, Michael Hilton Carnegie Mellon University, Sruti Srinivasa Ragavan Indian Institute of Technology (IIT), Kanpur, Amin Alipour University of Houston DOI | ||
11:10 25mTalk | Attitudes Towards the Use (and Misuse) of ChatGPT: A Preliminary Study Papers Michael Rogers University of Wisconsin Oshkosh, Hannah Hillberg University of Wisconsin Oshkosh, Christopher Groves University of Wisconsin Oshkosh DOI | ||
11:35 25mTalk | Instructor Perceptions of AI Code Generation Tools – A Multi-Institutional Interview StudyGlobal Papers Judy Sheard Monash University, Paul Denny The University of Auckland, Arto Hellas Aalto University, Juho Leinonen Aalto University, Lauri Malmi Aalto University, Simon DOI | ||