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Trust in Generative AI among students: An Exploratory Study
v1v2 (latest)

Trust in Generative AI among students: An Exploratory Study

Technical Symposium on Computer Science Education (SIGCSE), 2023
7 October 2023
Matin Amoozadeh
David Daniels
Daye Nam
Aayush Kumar
Stella Chen
Michael Hilton
Sruti Srinivasa Ragavan
Mohammad Amin Alipour
ArXiv (abs)PDFHTML

Papers citing "Trust in Generative AI among students: An Exploratory Study"

5 / 5 papers shown
From Prompts to Propositions: A Logic-Based Lens on Student-LLM Interactions
From Prompts to Propositions: A Logic-Based Lens on Student-LLM Interactions
Ali Alfageeh
Sadegh AlMahdi Kazemi Zarkouei
Daye Nam
Daniel Prol
Matin Amoozadeh
...
Paul Denny
Juho Leinonen
Michael Hilton
Sruti Srinivasa Ragavan
Mohammad Amin Alipour
223
4
0
25 Apr 2025
Human-AI Experience in Integrated Development Environments: A Systematic Literature Review
Human-AI Experience in Integrated Development Environments: A Systematic Literature Review
Agnia Sergeyuk
Ilya Zakharov
Ekaterina Koshchenko
Maliheh Izadi
323
6
0
08 Mar 2025
How Novice Programmers Use and Experience ChatGPT when Solving
  Programming Exercises in an Introductory Course
How Novice Programmers Use and Experience ChatGPT when Solving Programming Exercises in an Introductory Course
Andreas Scholl
Natalie Kiesler
175
28
0
30 Jul 2024
Towards More Trustworthy and Interpretable LLMs for Code through
  Syntax-Grounded Explanations
Towards More Trustworthy and Interpretable LLMs for Code through Syntax-Grounded Explanations
David Nader-Palacio
Daniel Rodríguez-Cárdenas
Alejandro Velasco
Dipin Khati
Kevin Moran
Denys Poshyvanyk
316
10
0
12 Jul 2024
Using an LLM to Help With Code Understanding
Using an LLM to Help With Code UnderstandingInternational Conference on Software Engineering (ICSE), 2023
Daye Nam
A. Macvean
Vincent J. Hellendoorn
Bogdan Vasilescu
Brad A. Myers
ELM
350
464
0
17 Jul 2023
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