Behind the Shoulders of Bebras Teams: Analyzing How They Interact with the Platform to Solve Tasks
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-58459-7_10
Reference16 articles.
1. Bellettini, C., et al.: A platform for the Italian Bebras. In: Proceedings of the 10th International Conference on Computer Supported Education (CSEDU 2018), vol. 1, pp. 350–357. SCITEPRESS (2018). https://doi.org/10.5220/0006775103500357
2. Bellettini, C., Lonati, V., Malchiodi, D., Monga, M., Morpurgo, A., Torelli, M.: How challenging are Bebras tasks? An IRT analysis based on the performance of Italian students. In: Proceedings of the 20th Annual Conference on Innovation and Technology in Computer Science Education ITiCSE 2015, pp. 27–32. ACM (2015). https://doi.org/10.1145/2729094.2742603
3. Bellettini, C., Lonati, V., Monga, M., Morpurgo, A.: How pupils solve online problems: an analytical view. In: Proceedings of the 11th International Conference on Computer Supported Education (CSEDU 2019), vol. 2, pp. 132–139. SCITEPRESS (2019). https://doi.org/10.5220/0007765801320139
4. Bonani, A., Del Fatto, V., Dodero, G., Gennari, R.: Tangibles for graph algorithmic thinking: experience with children (abstract only). In: Proceedings of the 49th ACM Technical Symposium on Computer Science Education, SIGCSE 2018, pp. 1094–1094. ACM, New York (2018). https://doi.org/10.1145/3159450.3162267
5. Boyle, A., Hutchison, D.: Sophisticated tasks in e-assessment: what are they and what are their benefits? Assess. Eval. High. Educ. 34(3), 305–319 (2009). https://doi.org/10.1080/02602930801956034
Cited by 2 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. All Green: How Different Age Groups Solved the Same Bebras Task;Lecture Notes in Computer Science;2023
2. How is Two Better Than One? An Observational Study on the Impact of Working in Pairs When Solving Bebras Tasks;Informatics in Schools. A Step Beyond Digital Education;2022
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