Exploring the Difficulty of Faded Parsons Problems for Programming Education
Author:
Affiliation:
1. University of Auckland, New Zealand
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3576123.3576136
Reference36 articles.
1. 37 Million Compilations
2. Compiler Error Messages Considered Unhelpful
3. Jeff Bender, Bingpu Zhao, Alex Dziena, and Gail Kaiser. 2022. Learning Computational Thinking Efficiently: How Parsons Programming Puzzles within Scratch Might Help. Association for Computing Machinery, New York, NY, USA, 66–75. https://doi-org.ezproxy.auckland.ac.nz/10.1145/3511861.3511869
4. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
5. Paul Denny Viraj Kumar and Nasser Giacaman. 2022. Conversing with Copilot: Exploring Prompt Engineering for Solving CS1 Problems Using Natural Language. https://doi.org/10.48550/ARXIV.2210.15157
Cited by 6 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. Distractors Make You Pay Attention: Investigating the Learning Outcomes of Including Distractor Blocks in Parsons Problems;Proceedings of the 2024 ACM Conference on International Computing Education Research - Volume 1;2024-08-12
2. Automating Personalized Parsons Problems with Customized Contexts and Concepts;Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1;2024-07-03
3. Neurodiverse Programmers and the Accessibility of Parsons Problems: An Exploratory Multiple-Case Study;Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1;2024-03-07
4. Generating Multi-Part Autogradable Faded Parsons Problems From Code-Writing Exercises;Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1;2024-03-07
5. Multi-Institutional Multi-National Studies of Parsons Problems;Proceedings of the 2023 Working Group Reports on Innovation and Technology in Computer Science Education;2023-12-22
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