ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2304.03938
  4. Cited By
Comparing Code Explanations Created by Students and Large Language
  Models

Comparing Code Explanations Created by Students and Large Language Models

Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE), 2023
8 April 2023
Juho Leinonen
Paul Denny
Stephen MacNeil
Sami Sarsa
Seth Bernstein
Joanne Kim
Andrew Tran
Arto Hellas
    LRM
ArXiv (abs)PDFHTML

Papers citing "Comparing Code Explanations Created by Students and Large Language Models"

50 / 64 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
Impact of Comments on LLM Comprehension of Legacy Code
Impact of Comments on LLM Comprehension of Legacy Code
Rock Sabetto
Emily Escamilla
Devesh Agarwal
Sujay Kandwal
Justin F. Brunelle
...
William Macke
Colin Diggs
Michael Bartholf
Zachary Robin
Paul Ursino
ELM
91
0
0
23 Apr 2025
Generating Planning Feedback for Open-Ended Programming Exercises with LLMs
Generating Planning Feedback for Open-Ended Programming Exercises with LLMsInternational Conference on Artificial Intelligence in Education (AIED), 2025
Mehmet Arif Demirtaş
Claire Zheng
Max Fowler
Kathryn Cunningham
LRM
243
3
0
11 Apr 2025
Insights from the Frontline: GenAI Utilization Among Software
  Engineering Students
Insights from the Frontline: GenAI Utilization Among Software Engineering StudentsConference on Software Engineering Education and Training (CSEE&T), 2024
Rudrajit Choudhuri
Ambareesh Ramakrishnan
Amreeta Chatterjee
Bianca Trinkenreich
Igor Steinmacher
M. Gerosa
Anita Sarma
289
9
0
20 Dec 2024
Beyond the Hype: A Comprehensive Review of Current Trends in Generative
  AI Research, Teaching Practices, and Tools
Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools
James Prather
Juho Leinonen
Natalie Kiesler
Jamie Gorson Benario
Sam Lau
...
Brent N. Reeves
Jaromír Šavelka
David H Smith IV
Sven Strickroth
Daniel Zingaro
276
61
0
19 Dec 2024
Breaking the Programming Language Barrier: Multilingual Prompting to
  Empower Non-Native English Learners
Breaking the Programming Language Barrier: Multilingual Prompting to Empower Non-Native English Learners
James Prather
B. Reeves
Paul Denny
Juho Leinonen
Stephen MacNeil
...
Thezyrie Amarouche
Bailey Kimmel
Jared Wright
Musa Blake
Gweneth Barbre
391
11
0
17 Dec 2024
Seeing the Forest and the Trees: Solving Visual Graph and Tree Based
  Data Structure Problems using Large Multimodal Models
Seeing the Forest and the Trees: Solving Visual Graph and Tree Based Data Structure Problems using Large Multimodal Models
S. Gutierrez
Irene Hou
Jihye Lee
Kenneth Angelikas
Owen Man
Sophia Mettille
James Prather
Paul Denny
Stephen MacNeil
234
5
0
15 Dec 2024
Howzat? Appealing to Expert Judgement for Evaluating Human and AI
  Next-Step Hints for Novice Programmers
Howzat? Appealing to Expert Judgement for Evaluating Human and AI Next-Step Hints for Novice ProgrammersACM Transactions on Computing Education (TOCE), 2024
Neil C. C. Brown
Pierre Weill-Tessier
Juho Leinonen
Paul Denny
Michael Kölling
240
1
0
27 Nov 2024
EDBooks: AI-Enhanced Interactive Narratives for Programming Education
Steve Oney
Yue Shen
Fei Wu
Young Suh Hong
Ziang Wang
Yamini Khajekar
Jiacheng Zhang
A. Wang
AI4Ed
226
0
0
16 Nov 2024
On the Opportunities of Large Language Models for Programming Process
  Data
On the Opportunities of Large Language Models for Programming Process Data
John Edwards
Arto Hellas
Juho Leinonen
156
2
0
01 Nov 2024
Large Language Models in Computer Science Education: A Systematic
  Literature Review
Large Language Models in Computer Science Education: A Systematic Literature ReviewTechnical Symposium on Computer Science Education (SIGCSE), 2024
Nishat Raihan
Mohammed Latif Siddiq
Joanna C. S. Santos
Marcos Zampieri
ELMAI4CE
244
45
0
21 Oct 2024
Synthetic Students: A Comparative Study of Bug Distribution Between
  Large Language Models and Computing Students
Synthetic Students: A Comparative Study of Bug Distribution Between Large Language Models and Computing Students
Stephen MacNeil
M. Rogalska
Juho Leinonen
Paul Denny
Arto Hellas
Xandria Crosland
SyDa
191
5
0
11 Oct 2024
Utilizing ChatGPT in a Data Structures and Algorithms Course: A Teaching Assistant's Perspective
Utilizing ChatGPT in a Data Structures and Algorithms Course: A Teaching Assistant's Perspective
Pooriya Jamie
Reyhaneh Hajihashemi
Sharareh Alipour
374
4
0
11 Oct 2024
Evaluating the Quality of Code Comments Generated by Large Language
  Models for Novice Programmers
Evaluating the Quality of Code Comments Generated by Large Language Models for Novice Programmers
Aysa Xuemo Fan
Arun Balajiee Lekshmi Narayanan
Mohammad Hassany
Jiaze Ke
ALMELM
202
2
0
22 Sep 2024
Evaluating the capability of large language models to personalize
  science texts for diverse middle-school-age learners
Evaluating the capability of large language models to personalize science texts for diverse middle-school-age learners
Michael Vaccaro Jr
Mikayla Friday
Arash Zaghi
AI4EdELM
132
1
0
09 Aug 2024
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
Integrating AI Tutors in a Programming Course
Integrating AI Tutors in a Programming Course
Iris Ma
A. Krone-Martins
Cristina V. Lopes
176
11
0
14 Jul 2024
Evaluating Language Models for Generating and Judging Programming
  Feedback
Evaluating Language Models for Generating and Judging Programming Feedback
Charles Koutcheme
Nicola Dainese
Arto Hellas
Sami Sarsa
Juho Leinonen
Syed Ashraf
Paul Denny
ELM
188
23
0
05 Jul 2024
Student-AI Interaction: A Case Study of CS1 students
Student-AI Interaction: A Case Study of CS1 students
Matin Amoozadeh
Daye Nam
Daniel Prol
Ali Alfageeh
James Prather
Michael Hilton
Sruti Srinivasa Ragavan
Mohammad Amin Alipour
207
27
0
29 Jun 2024
Evaluating Contextually Personalized Programming Exercises Created with
  Generative AI
Evaluating Contextually Personalized Programming Exercises Created with Generative AI
E. Logacheva
Arto Hellas
James Prather
Sami Sarsa
Juho Leinonen
281
36
0
11 Jun 2024
Experiences from Integrating Large Language Model Chatbots into the
  Classroom
Experiences from Integrating Large Language Model Chatbots into the Classroom
Arto Hellas
Juho Leinonen
Leo Leppanen
222
9
0
07 Jun 2024
Robo-Instruct: Simulator-Augmented Instruction Alignment For Finetuning Code LLMs
Robo-Instruct: Simulator-Augmented Instruction Alignment For Finetuning Code LLMs
Zichao Hu
Junyi Jessy Li
Arjun Guha
Joydeep Biswas
SyDaALM
527
3
0
30 May 2024
Analyzing Chat Protocols of Novice Programmers Solving Introductory
  Programming Tasks with ChatGPT
Analyzing Chat Protocols of Novice Programmers Solving Introductory Programming Tasks with ChatGPT
Andreas Scholl
D. Schiffner
Natalie Kiesler
159
22
0
29 May 2024
The Widening Gap: The Benefits and Harms of Generative AI for Novice
  Programmers
The Widening Gap: The Benefits and Harms of Generative AI for Novice Programmers
James Prather
Brent N. Reeves
Juho Leinonen
Stephen MacNeil
Arisoa S. Randrianasolo
Brett A. Becker
Bailey Kimmel
Jared Wright
Ben Briggs
229
134
0
28 May 2024
Desirable Characteristics for AI Teaching Assistants in Programming
  Education
Desirable Characteristics for AI Teaching Assistants in Programming EducationAnnual Conference on Innovation and Technology in Computer Science Education (ITiCSE), 2024
Paul Denny
Stephen MacNeil
Jaromír Šavelka
Leo Porter
Andrew Luxton-Reilly
256
60
0
23 May 2024
Iris: An AI-Driven Virtual Tutor For Computer Science Education
Iris: An AI-Driven Virtual Tutor For Computer Science EducationAnnual Conference on Innovation and Technology in Computer Science Education (ITiCSE), 2024
Patrick Bassner
Eduard Frankford
Stephan Krusche
244
44
0
09 May 2024
Benchmarking Educational Program Repair
Benchmarking Educational Program Repair
Charles Koutcheme
Nicola Dainese
Sami Sarsa
Juho Leinonen
Arto Hellas
Paul Denny
AI4Ed
181
8
0
08 May 2024
"ChatGPT Is Here to Help, Not to Replace Anybody" -- An Evaluation of
  Students' Opinions On Integrating ChatGPT In CS Courses
"ChatGPT Is Here to Help, Not to Replace Anybody" -- An Evaluation of Students' Opinions On Integrating ChatGPT In CS Courses
Bruno Pereira Cipriano
P. Alves
247
11
0
26 Apr 2024
CFlow: Supporting Semantic Flow Analysis of Students' Code in
  Programming Problems at Scale
CFlow: Supporting Semantic Flow Analysis of Students' Code in Programming Problems at Scale
A. Zhang
Xiaohang Tang
Steve Oney
Yan Chen
234
11
0
15 Apr 2024
Feedback-Generation for Programming Exercises With GPT-4
Feedback-Generation for Programming Exercises With GPT-4
Imen Azaiz
Natalie Kiesler
Sven Strickroth
173
47
0
07 Mar 2024
Enhancing Programming Error Messages in Real Time with Generative AI
Enhancing Programming Error Messages in Real Time with Generative AI
Bailey Kimmel
Austin Geisert
Lily Yaro
Brendan Gipson
Ronald Taylor Hotchkiss
Sidney Osae-Asante
Hunter Vaught
Grant Wininger
Chase Yamaguchi
170
20
0
12 Feb 2024
Using Large Language Models for Student-Code Guided Test Case Generation
  in Computer Science Education
Using Large Language Models for Student-Code Guided Test Case Generation in Computer Science Education
Nischal Ashok Kumar
Andrew Lan
AI4EdELM
162
9
0
11 Feb 2024
NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional
  Correctness
NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional Correctness
Manav Singhal
Tushar Aggarwal
Abhijeet Awasthi
Nagarajan Natarajan
Aditya Kanade
287
24
0
29 Jan 2024
How Beginning Programmers and Code LLMs (Mis)read Each Other
How Beginning Programmers and Code LLMs (Mis)read Each OtherInternational Conference on Human Factors in Computing Systems (CHI), 2024
S. Nguyen
Hannah McLean Babe
Yangtian Zi
Arjun Guha
C. Anderson
Molly Q. Feldman
328
79
0
26 Jan 2024
When Geoscience Meets Generative AI and Large Language Models:
  Foundations, Trends, and Future Challenges
When Geoscience Meets Generative AI and Large Language Models: Foundations, Trends, and Future Challenges
Abdenour Hadid
Tanujit Chakraborty
Daniel Busby
AI4CE
272
27
0
25 Jan 2024
CodeAid: Evaluating a Classroom Deployment of an LLM-based Programming
  Assistant that Balances Student and Educator Needs
CodeAid: Evaluating a Classroom Deployment of an LLM-based Programming Assistant that Balances Student and Educator NeedsInternational Conference on Human Factors in Computing Systems (CHI), 2024
Majeed Kazemitabaar
Runlong Ye
Xiaoning Wang
Austin Z. Henley
Paul Denny
Michelle Craig
Tovi Grossman
AI4EdELM
234
225
0
20 Jan 2024
A Comparative Analysis of Large Language Models for Code Documentation
  Generation
A Comparative Analysis of Large Language Models for Code Documentation Generation
Shubhang Shekhar Dvivedi
Vyshnav Vijay
Sai Leela Rahul Pujari
Shoumik Lodh
Dhruv Kumar
ELM
253
41
0
16 Dec 2023
Explaining Code Examples in Introductory Programming Courses: LLM vs
  Humans
Explaining Code Examples in Introductory Programming Courses: LLM vs Humans
Arun Balajiee Lekshmi Narayanan
Priti Oli
Jeevan Chapagain
Mohammad Hassany
Rabin Banjade
Peter Brusilovsky
Vasile Rus
253
8
0
09 Dec 2023
A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in
  Programming Education
A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming EducationIFAC Symposium on Advances in Control Education (ACE), 2023
J. Doughty
Zipiao Wan
Anishka Bompelli
Jubahed Qayum
Taozhi Wang
...
Christopher Bogart
Eric Keylor
Can Kultur
Jaromír Šavelka
M. Sakr
ELM
210
113
0
05 Dec 2023
Decoding Logic Errors: A Comparative Study on Bug Detection by Students
  and Large Language Models
Decoding Logic Errors: A Comparative Study on Bug Detection by Students and Large Language ModelsIFAC Symposium on Advances in Control Education (ACE), 2023
Stephen MacNeil
Paul Denny
Andrew Tran
Juho Leinonen
Seth Bernstein
Arto Hellas
Sami Sarsa
Joanne Kim
LRM
157
25
0
27 Nov 2023
"It's not like Jarvis, but it's pretty close!" -- Examining ChatGPT's
  Usage among Undergraduate Students in Computer Science
"It's not like Jarvis, but it's pretty close!" -- Examining ChatGPT's Usage among Undergraduate Students in Computer Science
Ishika Joshi
Ritvik Budhiraja
Harshal D. Akolekar
Jagat Sesh Challa
Dhruv Kumar
237
45
0
16 Nov 2023
Anticipating User Needs: Insights from Design Fiction on Conversational
  Agents for Computational Thinking
Anticipating User Needs: Insights from Design Fiction on Conversational Agents for Computational ThinkingChatbot Research and Design Workshop (CRD), 2023
Jacob Penney
João Felipe Pimentel
Igor Steinmacher
M. Gerosa
AI4CE
398
12
0
12 Nov 2023
Prompt Problems: A New Programming Exercise for the Generative AI Era
Prompt Problems: A New Programming Exercise for the Generative AI EraTechnical Symposium on Computer Science Education (SIGCSE), 2023
Paul Denny
Juho Leinonen
James Prather
Andrew Luxton-Reilly
Thezyrie Amarouche
Brett A. Becker
Brent N. Reeves
222
138
0
10 Nov 2023
Efficient Classification of Student Help Requests in Programming Courses
  Using Large Language Models
Efficient Classification of Student Help Requests in Programming Courses Using Large Language Models
Jaromír Šavelka
Paul Denny
Mark H. Liffiton
Brad Sheese
AI4Ed
194
8
0
31 Oct 2023
AI-enhanced Auto-correction of Programming Exercises: How Effective is
  GPT-3.5?
AI-enhanced Auto-correction of Programming Exercises: How Effective is GPT-3.5?
Imen Azaiz
Oliver Deckarm
Sven Strickroth
185
28
0
24 Oct 2023
Large Language Models for Code Analysis: Do LLMs Really Do Their Job?
Large Language Models for Code Analysis: Do LLMs Really Do Their Job?USENIX Security Symposium (USENIX Security), 2023
Chongzhou Fang
Ning Miao
Shaurya Srivastav
Jialin Liu
Ruoyu Zhang
...
Asmita Asmita
Ryan Tsang
Najmeh Nazari
Han Wang
Houman Homayoun
303
90
0
18 Oct 2023
An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions
An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions
Jingyu Shi
Rahul Jain
Hyungjun Doh
Ryo Suzuki
Karthik Ramani
3DV
250
40
0
11 Oct 2023
Trust in Generative AI among students: An Exploratory Study
Trust in Generative AI among students: An Exploratory StudyTechnical Symposium on Computer Science Education (SIGCSE), 2023
Matin Amoozadeh
David Daniels
Daye Nam
Aayush Kumar
Stella Chen
Michael Hilton
Sruti Srinivasa Ragavan
Mohammad Amin Alipour
198
101
0
07 Oct 2023
The Robots are Here: Navigating the Generative AI Revolution in
  Computing Education
The Robots are Here: Navigating the Generative AI Revolution in Computing Education
James Prather
Paul Denny
Juho Leinonen
Brett A. Becker
Ibrahim Albluwi
...
Stephen MacNeil
Andrew Petersen
Raymond Pettit
Brent N. Reeves
Jaromír Šavelka
260
301
0
01 Oct 2023
"With Great Power Comes Great Responsibility!": Student and Instructor
  Perspectives on the influence of LLMs on Undergraduate Engineering Education
"With Great Power Comes Great Responsibility!": Student and Instructor Perspectives on the influence of LLMs on Undergraduate Engineering Education
Ishika Joshi
Ritvik Budhiraja
Pranav Deepak Tanna
Lovenya Jain
Mihika Deshpande
Arjun Srivastava
Srinivas Rallapalli
Harshal D. Akolekar
Jagat Sesh Challa
Dhruv Kumar
AI4EdAI4CE
316
10
0
19 Sep 2023
12
Next