Trust in Generative AI among students: An Exploratory Study
Project Overview
The document examines the integration of Generative AI (GenAI) in computer science education (CSEd), emphasizing the importance of student trust in these technologies. Through a survey involving 253 students from two universities, it reveals that trust levels significantly influence the adoption and effective use of GenAI tools, particularly in code generation and explanation tasks. The findings indicate that while some students exhibit high trust in GenAI applications, others remain skeptical, which poses challenges for both educators and developers aiming to enhance learning outcomes. Additionally, the document addresses concerns related to plagiarism and inherent biases within AI systems, underscoring the necessity for a deeper understanding of the factors influencing trust in educational settings. Ultimately, the study calls for strategies to cultivate appropriate levels of trust among students to better leverage GenAI's potential in education.
Key Applications
GenAI programming assistants for generating code examples and explanations
Context: Computer science education for undergraduate and graduate students
Implementation: A survey was conducted at two universities (University of Houston and Indian Institute of Technology Kanpur) involving students using GenAI tools.
Outcomes: Students reported varying levels of trust in GenAI, with some indicating improvements in motivation and confidence when using GenAI tools. The study aims to inform educators on the factors impacting trust and the appropriate use of GenAI.
Challenges: Concerns about plagiarism, biases, and the ability of students to evaluate AI-generated code were identified as significant limitations.
Implementation Barriers
Trust-related barrier
Varying levels of trust among students affect their utilization of GenAI tools in programming.
Proposed Solutions: Educators should develop strategies to help students calibrate their trust in GenAI tools appropriately.
Ethical concerns
Concerns about plagiarism and biases in AI outputs raise questions about the ethical use of GenAI in education.
Proposed Solutions: Educators need to address these concerns and establish guidelines for the responsible use of GenAI.
Project Team
Matin Amoozadeh
Researcher
David Daniels
Researcher
Daye Nam
Researcher
Aayush Kumar
Researcher
Stella Chen
Researcher
Michael Hilton
Researcher
Sruti Srinivasa Ragavan
Researcher
Mohammad Amin Alipour
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Matin Amoozadeh, David Daniels, Daye Nam, Aayush Kumar, Stella Chen, Michael Hilton, Sruti Srinivasa Ragavan, Mohammad Amin Alipour
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai