Search Results - "Programming errors"

Understanding Java Programming Errors by First Year Students through the Lens of the Neo-Piaget Cognitive Development Framework

Authors: Monkgogi Mudongo Tsholofetso Taukobong Bontle Gopolang et al.

Source: Proceedings of the ACM Global on Computing Education Conference 2025 Vol 1. :141-148

Integrating Programming Errors into Knowledge Graphs for Automated Assignment of Programming Tasks

Authors: Guozhu Ding Xiangyi Shi Shan Li

Source: Education and Information Technologies. 2024 29(5):5947-5980.

Peer Reviewed: Y

Page Count: 34

Descriptors: Programming, Computer Science Education, Classification, Graphs, Error Patterns, Models, Student Evaluation, Knowledge Level, Visual Aids, Computer Software, Intelligent Tutoring Systems, Comparative Analysis, Problem Solving

PIPE: Predicting Logical Programming Errors in Programming Exercises

Authors: Miao, Dezhuang Dong, Yu Lu, Xuesong

Source: International Educational Data Mining Society. 2020.

Peer Reviewed: Y

Page Count: 7

Descriptors: Programming, Prediction, Error Patterns, Models, Educational Technology, Technology Uses in Education, Feedback (Response), Undergraduate Students

Confident Learning for Automated Detection of Student Programming Errors in Scientific Computing Tasks

Authors: Ismail Bouacha abderrahmance kefali safia bekhouche

Programming Errors and Academic Performance in an Introductory Data Structures Course: A Per Gender Analysis

Authors: Evangelos Dagklis Maya Satratzemi Georgia Koloniari et al.

Source: Lecture Notes in Networks and Systems ISBN: 9783031533815

Programming Errors: Understanding the Constitutionality of Stop-and-Frisk as a Program, Not an Incident

Authors: Meares, Tracey L.

Source: The University of Chicago Law Review, 2015 Jan 01. 82(1), 159-179.

Access URL: https://www.jstor.org/stable/43234692

Programming errors and the attribution of intentionality to educational robots

Authors: Larghi, S Datteri, E

Index Terms: educational robotic, programming error, mental states attribution, info:eu-repo/semantics/conferenceObject

URL: https://hdl.handle.net/10281/507820
ATEE Spring Conference 2024. Teacher education research in Europe: trends, challenges, practices and perspectives

Sometimes It's Just Sloppiness - Studying Students' Programming Errors and Misconceptions

Authors: Albrecht, Ella Grabowski, Jens

Contributors: Albrecht, Ella Grabowski, Jens

Source: Proceedings of the 51st ACM Technical Symposium on Computer Science Education. :340-345

Subject Terms: 4. Education, 05 social sciences, 0503 education

Access URL: https://resolver.sub.uni-goettingen.de/purl?gro-2/136233

Analysis of EPL Programming Errors committed by Elementary Pre-service teachers

Authors: Chul-Hyun Lee

Source: Journal of Korean Practical Arts Education. 26:133-150

Concept-Based Analysis of Java Programming Errors among Low, Average and High Achieving Novice Programmers

Authors: Jegede, Philip Olu Olajubu, Emmanuel Ajayi Ejidokun, Adekunle Olugbenga et al.

Source: Journal of Information Technology Education: Innovations in Practice. 2019 18:49-59.

Peer Reviewed: Y

Page Count: 11

Descriptors: Programming Languages, Programming, Low Achievement, High Achievement, Novices, Employees, Foreign Countries, Undergraduate Students, Computer Science Education, Engineering Education, Misconceptions, Error Patterns, Correlation

Geographic Terms: Nigeria

Access URL: https://www.jite.org/documents/Vol18/JITEv18IIPp049-059Jegede5508.pdf

Teaching Students to Fix Programming Errors with Tutorials Embedded in an IDE

Authors: Kiljunen Olli

Source: Proceedings of the 21st Koli Calling International Conference on Computing Education Research. :1-3

Subject Terms: 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0503 education

Learning from programming errors with enhanced feedback

Authors: for Review, Anonymous

Programming techniques to improve programming time and reduce programming errors

Learning analytics of CS0 students programming errors: the case of data science minor

Authors: Olga Yarygina

Source: Proceedings of the 23rd International Conference on Academic Mindtrek. :149-152

Subject Terms: 9. Industry and infrastructure, 4. Education, 05 social sciences, 10. No inequality, 0503 education

Assessing ChatGPT's ability to detect and correct programming errors in stata do-files

Authors: Mora, Ricardo Universidad Carlos III. Departamento de Economía Comunidad de Madrid et al.

Contributors: Mora, Ricardo Universidad Carlos III. Departamento de Economía Comunidad de Madrid et al.

Source: e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)

Subject Terms: Econometrics software, Proprietary software, Programming, LLMs, Economía

File Description: application/pdf

Access URL: https://hdl.handle.net/10016/45949

Concept–based Analysis of Java Programming Errors among Low, Average and High Achieving Novice Programmers

Authors: Philip Olu Jegede Emmanuel A. Olajubu Adekunle Olugbenga Ejidokun et al.

Source: Journal of Information Technology Education: Innovations in Practice. 18:049-059

Subject Terms: 4. Education

Access URL: http://www.jite.org/documents/Vol18/JITEv18IIPp049-059Jegede5508.pdf

Efficiently manifesting asynchronous programming errors in Android apps

Authors: Fan, Lingling Su, Ting Chen, Sen et al.

Source: Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering. :486-497

Subject Terms: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: http://arxiv.org/pdf/1808.03178
http://arxiv.org/abs/1808.03178

A Hopfield Neural Network Based Building Agent for Detection and Correction of Programming Errors

Source: International Journal of Science and Research (IJSR). 6:1357-1362

Analyzing Provenance Graphs for Programming Errors

Authors: Ruß, Paula Natascha

Subject Terms: Provenance, Debugging, inexact subgraph matching, Provenance graphs

Access URL: https://elib.dlr.de/208111/

Qualitative Content Analysis of Programming Errors

Authors: Philipp Shah Marc Berges Peter Hubwieser

Source: Proceedings of the 5th International Conference on Information and Education Technology. :161-166

Subject Terms: 4. Education, 05 social sciences, 0503 education