More Robots are Coming: Large Multimodal Models (ChatGPT) can Solve Visually Diverse Images of Parsons Problems
Author:
Affiliation:
1. Temple University, United States
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3636243.3636247
Reference74 articles.
1. EvoParsons: design, implementation and preliminary evaluation of evolutionary Parsons puzzle
2. Shraddha Barke, Michael B James, and Nadia Polikarpova. 2022. Grounded Copilot: How Programmers Interact with Code-Generating Models. arXiv preprint arXiv:2206.15000 (2022).
3. Programming Is Hard - Or at Least It Used to Be
4. Susan Debra Blum. 2020. Ungrading: Why rating students undermines learning (and what to do instead). West Virginia University Press.
5. Peter Brusilovsky Stephen Edwards Amruth Kumar Lauri Malmi Luciana Benotti Duane Buck Petri Ihantola Rikki Prince Teemu Sirkiä Sergey Sosnovsky Jaime Urquiza-Fuentes Arto Hellas and Michael Wollowski. 2014. Increasing Adoption of Smart Learning Content for Computer Science Education. ITiCSE-WGR 2014 - Working Group Reports of the 2014 Innovation and Technology in Computer Science Education Conference. https://doi.org/10.1145/2713609.2713611
Cited by 7 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. A systematic literature review of computer vision applications in robotized wire harness assembly;Advanced Engineering Informatics;2024-10
2. GeoLocator: A Location-Integrated Large Multimodal Model (LMM) for Inferring Geo-Privacy;Applied Sciences;2024-08-13
3. The Widening Gap: The Benefits and Harms of Generative AI for Novice Programmers;Proceedings of the 2024 ACM Conference on International Computing Education Research - Volume 1;2024-08-12
4. 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
5. Desirable Characteristics for AI Teaching Assistants in Programming Education;Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1;2024-07-03
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