Image de couverture de livre

Influence of Personality Traits on Plagiarism Through Collusion in Programming Assignments

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	PD, Parthasarathy, Kapoor, Ishaan, Joshi, Swaroop, Thomas, Sujith
Format:	Preprint
Publié:	2024
Sujets:	Computers and Society
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Teaching Digital Accessibility to Industry Professionals using the Community of Practice Framework: An Experience Report
par: PD, Parthasarathy, et autres
Publié: (2023)

Teaching Digital Accessibility in Computing Education: Views of Educators in India
par: Parthasarathy, et autres
Publié: (2024)

AI Ethics Education in India: A Syllabus-Level Review of Computing Courses
par: Mittal, Anshu M, et autres
Publié: (2025)

Scaling Accessibility Education: Reflections from a Workshop Targeting CS Educators and Software Professionals
par: Parthasarathy, P D, et autres
Publié: (2025)

Exploring the Need of Accessibility Education in the Software Industry: Insights from a Survey of Software Professionals in India
par: D, Parthasarathy P, et autres
Publié: (2023)

FlashHack: Reflections on the Usage of a Micro Hackathon as an Assessment Tool in a Machine Learning Course
par: Indra, R, et autres
Publié: (2024)

Skill, Will, or Both? Understanding Digital Inaccessibility from Accessibility Professionals' Viewpoint
par: Parthasarathy, P D, et autres
Publié: (2025)

The Failure of Plagiarism Detection in Competitive Programming
par: Dickey, Ethan
Publié: (2025)

PasteTrace: A Single Source Plagiarism Detection Tool For Introductory Programming Courses
par: McDonald, Jesse, et autres
Publié: (2025)

Attention to Neural Plagiarism: Diffusion Models Can Plagiarize Your Copyrighted Images!
par: Zou, Zihang, et autres
Publié: (2026)

How Consistent Are Humans When Grading Programming Assignments?
par: Messer, Marcus, et autres
Publié: (2024)

A Framework for LLM-powered Design Assistants
par: Panda, Swaroop
Publié: (2025)

Reducing Procrastination on Programming Assignments via Optional Early Feedback
par: Gao, Alice, et autres
Publié: (2025)

Evaluating Chinese Large Language Models: The Influence of Persona Assignment on Stereotypes and Safeguards
par: Liu, Geng, et autres
Publié: (2025)

Interpreting Latent Student Knowledge Representations in Programming Assignments
par: Fernandez, Nigel, et autres
Publié: (2024)

Traits of a Leader: User Influence Level Prediction through Sociolinguistic Modeling
par: Katerenchuk, Denys, et autres
Publié: (2025)

Exploring the Applications of Generative AI in High School STEM Education
par: Masilamony, Ishaan
Publié: (2025)

How Personality Traits Shape LLM Risk-Taking Behaviour
par: Hartley, John, et autres
Publié: (2025)

FastFixer: An Efficient and Effective Approach for Repairing Programming Assignments
par: Liu, Fang, et autres
Publié: (2024)

Dark Personality Traits and Online Toxicity: Linking Self-Reports to Reddit Activity
par: Cerulli, Aldo, et autres
Publié: (2025)

LeafTutor: An AI Agent for Programming Assignment Tutoring
par: Bochard, Madison, et autres
Publié: (2025)

Personality Traits in Large Language Models
par: Serapio-García, Greg, et autres
Publié: (2023)

Understanding University Students' Use of Generative AI: The Roles of Demographics and Personality Traits
par: Deng, Newnew, et autres
Publié: (2025)

Impeding LLM-assisted Cheating in Introductory Programming Assignments via Adversarial Perturbation
par: Salim, Saiful Islam, et autres
Publié: (2024)

Can Large Language Models Understand You Better? An MBTI Personality Detection Dataset Aligned with Population Traits
par: Li, Bohan, et autres
Publié: (2024)

Generating Synthetic Population
par: Neekhra, Bhavesh, et autres
Publié: (2022)

Build Agent Advocates, Not Platform Agents
par: Kapoor, Sayash, et autres
Publié: (2025)

InvAASTCluster: On Applying Invariant-Based Program Clustering to Introductory Programming Assignments
par: Orvalho, Pedro, et autres
Publié: (2022)

Code Interviews: Design and Evaluation of a More Authentic Assessment for Introductory Programming Assignments
par: Kannam, Suhas, et autres
Publié: (2024)

Personalized Programming Guidance based on Deep Programming Learning Style Capturing
par: Liu, Yingfan, et autres
Publié: (2024)

Can LLMs Infer Conversational Agent Users' Personality Traits from Chat History?
par: Cögendez, Derya, et autres
Publié: (2026)

Survey on Plagiarism Detection in Large Language Models: The Impact of ChatGPT and Gemini on Academic Integrity
par: Pudasaini, Shushanta, et autres
Publié: (2024)

Playsemble: Learning Low-Level Programming Through Interactive Games
par: Wen, Elliott, et autres
Publié: (2026)

Ahead of the Count: An Algorithm for Probabilistic Prediction of Instant Runoff (IRV) Elections
par: Kapoor, Nicholas, et autres
Publié: (2024)

Logic Error Localization in Student Programming Assignments Using Pseudocode and Graph Neural Networks
par: Xu, Zhenyu, et autres
Publié: (2024)

Participatory Approaches in AI Development and Governance: Case Studies
par: Parthasarathy, Ambreesh, et autres
Publié: (2024)

Rethinking LLM Bias Probing Using Lessons from the Social Sciences
par: Morehouse, Kirsten N., et autres
Publié: (2025)

Plagiarism or Productivity? Students Moral Disengagement and Behavioral Intentions to Use ChatGPT in Academic Writing
par: Miranda, John Paul P., et autres
Publié: (2026)

Promises and pitfalls of artificial intelligence for legal applications
par: Kapoor, Sayash, et autres
Publié: (2024)

Synthpop++: A Hybrid Framework for Generating A Country-scale Synthetic Population
par: Neekhra, Bhavesh, et autres
Publié: (2023)