Describing Elementary Students' Interactions in K-5 Puzzle-based Computer Science Environments using the Collaborative Computing Observation Instrument (C-COI)

Describing Elementary Students' Interactions in K-5 Puzzle-based Computer Science Environments using the Collaborative Computing Observation Instrument (C-COI)
复制标题

DOI:
10.1145/3105726.3106167
复制
发表时间:
2017-08
期刊:
Proceedings of the 2017 ACM Conference on International Computing Education Research
影响因子:
--
通讯作者:
Maya Israel;Quentin M. Wherfel;Saadeddine Shehab;Oliver Melvin;T. Lash
Maya Israel;Quentin M. Wherfel;Saadeddine Shehab;Oliver Melvin;T. Lash
中科院分区:
其他
文献类型:
--
作者:
Maya Israel;Quentin M. Wherfel;Saadeddine Shehab;Oliver Melvin;T. Lash

文献摘要

被引文献

相似文献

尽管努力将计算机科学(CS)整合到K-12教育中,但关于学生如何学习CS,如何提供积极的计算体验以及学生在CS教学期间如何相互互动的问题仍有许多未解决的问题。为了开始为各种学生解构这些复杂性,不仅要研究学生的计算体验的结果和产物,而且重要的是他们在创建这些产品时所采取的过程。在认识到有针对性的,狭窄的研究问题的必要性时,本文着重于基于拼图的CS教学期间小学生如何相互互动。未来的工作将着重于将这些发现与学生在更开放的计算情况下的协作互动进行比较。数据分析利用了协作计算观察工具(C-COI)[M.以色列等。 [2015年]分析九名学生在Code.org的Code Studio中从事CS活动时的视频屏幕捕获。调查结果证实了三种主要类型的协作互动类型:与CS活动相关的协作问题解决,兴奋和成就以及一般社会化。
Despite efforts to integrate computer science (CS) into K-12 education, there are numerous unanswered questions about how students learn CS, how to provide positive computing experiences, and how students interact with each other during CS instruction. To begin to deconstruct these complexities for a diverse range of students, it is important to not only study the outcomes and products of students' computational experiences, but also the processes they take in creating those products. In recognizing the necessity for targeted, narrow research questions, this paper focused on how elementary students interacted with each other during puzzle-based CS instruction. Future work will focus on comparing these findings to students' collaborative interactions in more open-ended computing situations. Data analysis made use of the Collaborative Computing Observation Instrument (C-COI) [M. Israel et al. 2015] to analyze video screen captures of nine students as they engaged in CS activities within Code.org's Code Studio. Findings confirmed three predominant types of collaborative interactions: Collaborative problem solving, excitement and accomplishment related to CS activities, and general socialization.