mlsanityData to 14 Oct 2026

Trust in Generative AI among students: An Exploratory Study

arXiv 2310.04631 ↗First posted 7 Oct 2023cs.HCcited by 16

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Abstract (arXiv)

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' textittrust. 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.

Key facts. Cited by 16 papers in the map (data through 14 Oct 2026). First posted on arXiv 7 Oct 2023.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 8; 2025: 7; 2026: 1.

16 papers.

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  1. 2024Using AI-Based Coding Assistants in Practice: State of Affairs, Perceptions, and Ways Forwardcited by 45
  2. 2024Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Toolscited by 14
  3. 2024Towards More Trustworthy and Interpretable LLMs for Code through Syntax-Grounded Explanationscited by 11
  4. 2024How Novice Programmers Use and Experience ChatGPT when Solving Programming Exercises in an Introductory Coursecited by 11
  5. 2024Analyzing Chat Protocols of Novice Programmers Solving Introductory Programming Tasks with ChatGPTcited by 8
  6. 2024Students' Perceptions and Use of Generative AI Tools for Programming Across Different Computing Coursescited by 6
  7. 2025Human-AI Experience in Integrated Development Environments: A Systematic Literature Reviewcited by 5
  8. 2024Seeing Through AI's Lens: Enhancing Human Skepticism Towards LLM-Generated Fake Newscited by 4
  9. 2025From Prompts to Propositions: A Logic-Based Lens on Student-LLM Interactionscited by 4
  10. 2025Novice Developers' Perspectives on Adopting LLMs for Software Development: A Systematic Literature Reviewcited by 3
  11. 2024BoilerTAI: A Platform for Enhancing Instruction Using Generative AI in Educational Forumscited by 2
  12. 2026Finding the Signal in the Noise: An Exploratory Study on Assessing the Effectiveness of AI and Accessibility Forums for Blind Users' Support Needscited by 1
4 more
  1. 2025To Google or To ChatGPT? A Comparison of CS2 Students' Information Gathering Approaches and Outcomescited by 0
  2. 2025Mapping the Trust Terrain: LLMs in Software Engineering -- Insights and Perspectivescited by 0
  3. 2025Artificial Intelligence Competence of K-12 Students Shapes Their AI Risk Perception: A Co-occurrence Network Analysiscited by 0
  4. 2025Methodological Variation in Studying Staff and Student Perceptions of AIcited by 0