Suchergebnisse - "Programming assignments"

Approach to Plagiarism Detection in Programming Assignments

Autoren: Malek Algabri Firdaus Alhrazi

Quelle: مجلة العلوم الهندسية والتقنية, Vol 3, Iss 1 (2025)

Schlagwörter: Ma chine Learning, T1-995, Index Terms Plagiarism Detection, CNN, MILEPOST GCC, Programming Assignments, TA1-2040, Engineering (General). Civil engineering (General), Technology (General)

Zugangs-URL: https://doaj.org/article/5e6d47cdb30c46419f572426cd7c8bb4

Evaluating Programming Assignments and Compile-and-Run Prompts in CS1 by Observing Student Programming Behaviors

Autoren: Marcus E. Gubanyi Leen-Kiat Soh

Quelle: Proceedings of the 2025 ACM Conference on International Computing Education Research V.1. :210-226

Improving Feedback in the Automated Assessment of Programming Assignments Using Students' Past Solutions

Autoren: José Carlos Costa Paiva

Schlagwörter: Ciências da terra e ciências do ambiente, Earth and related Environmental sciences

Dateibeschreibung: application/pdf

Verfügbarkeit: https://hdl.handle.net/10216/165474

How Consistent Are Humans When Grading Programming Assignments?

Autoren: Marcus Messer Neil C. C. Brown Michael Kölling et al.

Quelle: ACM Transactions on Computing Education. 2025 25(4).

Peer Reviewed: Y

Page Count: 37

Descriptors: Foreign Countries, Grading, Interrater Reliability, Teaching Assistants, Scoring Rubrics, Reliability, Graduate Students, Programming, Computer Science Education, Replication (Evaluation)

Geografische Kategorien: United Kingdom (London)

Applying Large Language Models to Enhance the Assessment of Java Programming Assignments

Autoren: Skyler Grandel Douglas Schmidt Kevin Leach

Quelle: Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering. :789-799

FEEDBOT: Formative Design Feedback on Programming Assignments

Autoren: Elaine Zhu Smaran Teja Chris Coombes et al.

Quelle: Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 1. :576-582

Ai-Based Automated Grading of Source Code of Introductory Programming Assignments

Autoren: Jayant Havare Varsha Apte Kaushikraj Maharajan et al.

Quelle: 2025 IEEE/ACM 33rd International Conference on Program Comprehension (ICPC). :171-181

Automatic Unit Test Generation for Programming Assignments Using Large Language Models

Autoren: Kaisheng Zheng Yuanyang Shen Yida Tao

Quelle: 2025 IEEE/ACM 37th International Conference on Software Engineering Education and Training (CSEE&T). :242-252

Automated Feedback Generation for Programming Assignments Through Diversification

Autoren: Dongwook Choi Eunseok Lee

Quelle: 2025 IEEE/ACM 37th International Conference on Software Engineering Education and Training (CSEE&T). :230-241

StepGrade: Grading Programming Assignments with Context-Aware LLMs

Autoren: Akyash, Mohammad Azar, Kimia Zamiri Kamali, Hadi Mardani

Quelle: 2025 IEEE Integrated STEM Education Conference (ISEC). :1-6

Schlagwörter: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering

Zugangs-URL: http://arxiv.org/abs/2503.20851

Code Interviews: Design and Evaluation of a More Authentic Assessment for Introductory Programming Assignments

Autoren: Suhas Kannam Yuri Yang Aarya Dharm et al.

Quelle: Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 1. :554-560

Schlagwörter: FOS: Computer and information sciences, Computer Science - Computers and Society, Computers and Society (cs.CY), K.3.2

Zugangs-URL: http://arxiv.org/abs/2410.01010

Logic Error Localization in Student Programming Assignments Using Pseudocode and Graph Neural Networks

Autoren: Xu, Zhenyu Zhang, Kun Sheng, Victor S.

Quelle: Communications in Computer and Information Science ISBN: 9789819670352

Schlagwörter: Computer Science - Computers and Society, Computer Science - Software Engineering, Computer Science - Artificial Intelligence

Zugangs-URL: http://arxiv.org/abs/2410.21282

A System-Level Testing Framework for Automated Assessment of Programming Assignments Allowing Students Object-Oriented Design Freedom

Autoren: Valerio Terragni Nasser Giacaman

Quelle: 2025 IEEE Conference on Software Testing, Verification and Validation (ICST). :687-698

Relational Database Courses with CodeRunner in Moodle: Extending SQL Programming Assignments to Client-Server Database Engines

Autoren: Andrzej Wójtowicz Maciej Prill

Quelle: Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 1. :1239-1245

Design and Evaluation of an AI-Assisted Grading Tool for Introductory Programming Assignments: An Experience Report

Autoren: Goda Nagakalyani Saurav Chaudhary Varsha Apte et al.

Quelle: Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 1. :805-811

Designing LLM-Resistant Programming Assignments: Insights and Strategies for CS Educators

Autoren: Bradley McDanel Ed Novak

Quelle: Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 1. :756-762

Midterm Exam Outliers Efficiently Highlight Potential Cheaters on Programming Assignments

Autoren: Shirin Haji Amin Shirazi Ashley Pang Allan Knight et al.

Quelle: Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 1. :437-442

Exploring GPT-Generated Variations in C Programming Assignments

Autoren: Marek Horváth Lenka Bubeňková Emília Pietriková

Quelle: 2025 IEEE 23rd World Symposium on Applied Machine Intelligence and Informatics (SAMI). :000331-000336

FastFixer: An Efficient and Effective Approach for Repairing Programming Assignments

Autoren: Fang Liu Zhenwei Liu Qianhui Zhao et al.

Quelle: Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering. :669-680

Schlagwörter: Computer Science - Computers and Society, Computer Science - Software Engineering

Zugangs-URL: http://arxiv.org/abs/2410.21285

Identifying Plagiarised Programming Assignments with Detection Tool Consensus

Autoren: Cheers, Hayden Lin, Yuqing Yan, Weigen

Quelle: Informatics in Education. 2023 22(1):1-19.

Peer Reviewed: Y

Page Count: 19

Descriptors: Plagiarism, Assignments, Computer Software, Computer Science Education, Identification, Programming, Scores, Case Studies, Undergraduate Students, Comparative Analysis