Common logic errors made by novice programmers
Author:
Affiliation:
1. University of Auckland, Auckland, New Zealand
Publisher
ACM Press
Reference16 articles.
1. Marzieh Ahmadzadeh, Dave Elliman, and Colin Higgins. 2005. An Analysis of Patterns of Debugging Among Novice Computer Science Students. SIGCSE Bull. 37, 3 (June 2005), 84--88.
2. Amjad Altadmri and Neil C.C. Brown. 2015. 37 Million Compilations: Investigating Novice Programming Mistakes in Large-Scale Student Data. In Proceedings of the 46th ACM Technical Symposium on Computer Science Education (SIGCSE '15). ACM, New York, NY, USA, 522--527.
3. Brett A. Becker. 2016. An Effective Approach to Enhancing Compiler Error Messages. In Proceedings of the 47th ACM Technical Symposium on Computer Science Education (SIGCSE '16). ACM, New York, NY, USA, 126--131.
4. Brett A. Becker. 2016. A New Metric to Quantify Repeated Compiler Errors for Novice Programmers. In Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE '16). ACM, New York, NY, USA, 296--301.
5. Brett A. Becker, Graham Glanville, Ricardo Iwashima, Claire McDonnell, Kyle Goslin, and Catherine Mooney. 2016. Effective compiler error message enhancement for novice programming students. Computer Science Education 26, 2-3 (2016), 148--175.
Cited by 31 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Investigating the Proficiency of Large Language Models in Formative Feedback Generation for Student Programmers;Proceedings of the 1st International Workshop on Large Language Models for Code;2024-04-20
2. Experience Report: Identifying common misconceptions and errors of novice programmers with ChatGPT;Proceedings of the 46th International Conference on Software Engineering: Software Engineering Education and Training;2024-04-14
3. Towards Attention-Based Automatic Misconception Identification in Introductory Programming Courses;Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 2;2024-03-14
4. Need a Programming Exercise Generated in Your Native Language? ChatGPT's Got Your Back: Automatic Generation of Non-English Programming Exercises Using OpenAI GPT-3.5;Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1;2024-03-07
5. Can Language Models Employ the Socratic Method? Experiments with Code Debugging;Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1;2024-03-07
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3