Výsledky vyhledávání - Programming Exercise Generation Benchmark

Navigating the Landscape of Automated Feedback Generation Techniques for Programming Exercises

Autoři: Smitha S. Kumar Michael A. Lones Manuel Maarek a další

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

Peer Reviewed: Y

Page Count: 29

Descriptors: Automation, Computer Science Education, Programming, Feedback (Response), Computation, Artificial Intelligence, Natural Language Processing, Introductory Courses, Intelligent Tutoring Systems, Grading

CSEPrompts : A Benchmark of Introductory Computer Science Prompts

Autoři: Appice, Annalisa Azzag, Hanane Hacid, Mohand-Said a další

Témata: Contribution in Book/Report/Proceedings, PeerReviewed

URL: https://eprints.lancs.ac.uk/id/eprint/221602/
https://eprints.lancs.ac.uk/id/eprint/221602

CSEPrompts: A Benchmark of Introductory Computer Science Prompts

Autoři: Raihan, Nishat Goswami, Dhiman Puspo, Sadiya Sayara Chowdhury a další

Témata: Computer Science - Computation and Language, text

URL: http://arxiv.org/abs/2404.02540

JavaBench: A Benchmark of Object-Oriented Code Generation for Evaluating Large Language Models

Autoři: Cao, Jialun Chen, Zhiyong Wu, Jiarong a další

Témata: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Programming Languages, Computer Science - Software Engineering, text

URL: http://arxiv.org/abs/2406.12902

Evaluating the Use of Retrieval-augmented Generation for Enhancing Online Courses

Additional Titles: Utvärdering av användningen av sökresultatsförstärkt generering för att förbättra onlinekurser

Autoři: Pasquarelli, Leonardo

Témata: AI, artificial intelligence, education, generative AI, large language models, retrieval-augmented generation, artificiell intelligens, utbildning, generativ AI, stora språkmodeller, sökresultatsförstärkt generering, Computer and Information Sciences, Data- och informationsvetenskap, Student thesis, info:eu-repo/semantics/bachelorThesis, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-361830
TRITA-EECS-EX ; 2025:28

Social Rigidity Across and Within Generations: A Predictive Approach.

Autoři: Zheng, Haowen Cheng, Siwei

Zdroj: Sociological Methods & Research; Nov2025, Vol. 54 Issue 4, p1683-1725, 43p

Témata: SOCIOECONOMIC status, STATUS attainment, SOCIOECONOMIC factors, RACE identity, MACHINE learning, PREDICTION models, SOCIAL stratification

On the potential of agentic workflows for animal training plan generation.

Autoři: Schultz, Jörg¹ (AUTHOR) Joerg.Schultz@Tier-Wohl-Team.de

Zdroj: Frontiers in Veterinary Science. 2025, p1-16. 16p.

Automated Customized Bug-Benchmark Generation

Autoři: Kashyap, Vineeth Ruchti, Jason Kot, Lucja a další

Témata: Computer Science - Software Engineering, Computer Science - Programming Languages, text

URL: http://arxiv.org/abs/1901.02819

Artificial Intelligence in Endurance Sports: Metabolic, Recovery, and Nutritional Perspectives.

Autoři: Grivas, Gerasimos V. Safari, Kousar

Zdroj: Nutrients. Oct2025, Vol. 17 Issue 20, p3209. 26p.

SETY©: A next-generation robotic training platform for safe and autonomous surgery in space — surgical biomechatronics design and Hardware-Software integration within the SY-MIS project.

Autoři: Cornejo, Jose Oscco, Bernabé Gamarra-Vásquez, Luis a další

Zdroj: Journal of Robotic Surgery; 11/22/2025, Vol. 20 Issue 1, p1-25, 25p

A personalized programming exercise recommendation algorithm based on knowledge structure tree.

Autoři: Zheng, Wei Du, Qing Fan, Yongjian a další

Zdroj: Journal of Intelligent & Fuzzy Systems; 2022, Vol. 42 Issue 3, p2169-2180, 12p

Témata: ONLINE education, ALGORITHMS, DEBUGGING

Adaptive Personalized Learning System with Generative AI.

Autoři: Parakh, Divyansh Lodha, Prerak C. N., Subalalitha

Zdroj: Frontiers in Health Informatics; 2024, Vol. 13 Issue 8, p2612-2637, 26p

Témata: GENERATIVE artificial intelligence, INSTRUCTIONAL systems, LANGUAGE models, DATABASES, INDIVIDUALIZED instruction, VIRTUAL classrooms, PYTHON programming language

The Use of Artificial Intelligence (AI) to Support Dietetic Practice Across Primary Care: A Scoping Review of the Literature.

Autoři: Ngo, Kaitlyn Mekhail, Simone Chan, Virginia a další

Zdroj: Nutrients. Nov2025, Vol. 17 Issue 22, p3515. 45p.

Dining's future is personal, purposeful and plated.

Autoři: Keller, Joy

Zdroj: Journal on Active Aging; 2025, Vol. 24 Issue 4, p62-69, 8p

Témata: CUSTOMIZATION, HEALTH promotion, MEALS, GENERATION X, BABY boom generation, VALUE proposition, OLDER people

ExeVis: concept-based visualization of exercises in online learning.

Autoři: Zhou, Zhiguang Cai, Lihong Guo, Jiayi a další

Zdroj: Journal of Visualization; Apr2024, Vol. 27 Issue 2, p235-254, 20p

Multi-Omics Data Integration Reveals Sex-Dependent Hippocampal Programming by Maternal High-Fat Diet during Lactation in Adult Mouse Offspring.

Autoři: Gauvrit, Thibaut Benderradji, Hamza Pelletier, Alexandre a další

Zdroj: Nutrients. Nov2023, Vol. 15 Issue 21, p4691. 23p.

Evaluating and Aligning CodeLLMs on Human Preference

Autoři: Yang, Jian Yang, Jiaxi Jin, Ke a další

Témata: Computer Science - Computation and Language, text

URL: http://arxiv.org/abs/2412.05210

Digital pathology in veterinary clinical pathology: A review.

Autoři: Piccione, Julie Anderson, Stephanie F. Neal, Samuel V. a další

Zdroj: Veterinary Pathology. Sep2025, Vol. 62 Issue 5, p631-645. 15p.

CSEPrompts: A Benchmark of Introductory Computer Science Prompts

Autoři: Raihan, Md Nishat Goswami, Dhiman Puspo, Sadiya Sayara Chowdhury a další

Přispěvatelé: Raihan, Md Nishat Goswami, Dhiman Puspo, Sadiya Sayara Chowdhury a další

Zdroj: Lecture Notes in Computer Science ISBN: 9783031626999

Témata: FOS: Computer and information sciences, Computer Science - Computation and Language, 4. Education, Computation and Language (cs.CL)

Přístupová URL adresa: http://arxiv.org/abs/2404.02540

JavaBench: A Benchmark of Object-Oriented Code Generation for Evaluating Large Language Models

Autoři: Jialun Cao Zhiyong Chen Jiarong Wu a další

Zdroj: Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering. :870-882

Témata: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Software Engineering, Computer Science - Programming Languages, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Machine Learning (cs.LG), Programming Languages (cs.PL)

Přístupová URL adresa: http://arxiv.org/abs/2406.12902