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

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)

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

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

Automated Program Repair for Introductory Programming Assignments

Autoren: Han Wan Hongzhen Luo Mengying Li et al.

Quelle: IEEE Transactions on Learning Technologies. 2024 17:1745-1760.

Peer Reviewed: Y

Page Count: 16

Descriptors: Programming, Computer Science Education, Introductory Courses, Assignments, Error Correction, Computer Software, Teaching Methods, Artificial Intelligence

Student perspectives on using Artificial Intelligence tools for solving programming assignments

Autoren: Maček, Marija Novak, Matija

Quelle: Proceedings of the 35th Central European Conference on Information and Intelligent Systems - CECIS 2024. :351-363

Schlagwörter: Artificial Intelligence, visoko obrazovanje, umjetna inteligencija, Programming, Assignments, programiranje, High Education, zadaci

Zugangs-URL: https://archive.ceciis.foi.hr/index.php/ceciis/index/pages/view/ProceedingsArchive2024.html

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

Automatic Subject-Based Contextualisation of Programming Assignment Lists

Autoren: Fonseca, Samuel C. Pereira, Filipe Dwan Oliveira, Elaine H. T. et al.

Quelle: International Educational Data Mining Society. 2020.

Peer Reviewed: Y

Page Count: 11

Descriptors: Programming, Introductory Courses, Computer Science Education, Automation, Assignments, Undergraduate Students, Nonmajors, Relevance (Education), Individualized Instruction, Taxonomy, Classification, Natural Language Processing, Foreign Countries

Geografische Kategorien: Brazil

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

Admitting You Have a Problem Is the First Step: Modeling When and Why Students Seek Help in Programming Assignments

Autoren: Gao, Zhikai Erickson, Bradley Xu, Yiqiao et al.

Quelle: International Educational Data Mining Society. 2022.

Peer Reviewed: Y

Page Count: 7

Sponsoring Agency: National Science Foundation (NSF)

Descriptors: Computer Science Education, College Students, Programming, Coding, Help Seeking, Student Behavior

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