Building upon the CAPE Framework for Broader Understanding of Capacity in K-12 CS Education
Building upon the CAPE Framework for Broader Understanding of Capacity in K-12 CS Education
复制标题
以 CAPE 框架为基础,更广泛地了解 K-12 计算机科学教育的能力
DOI:
10.1145/3545945.3569799
复制
发表时间:
2023
期刊:
影响因子:
--
通讯作者:
Delyser, Leigh Ann
中科院分区:
文献类型:
--
作者:
McGill, Monica M.;Thompson, Angelica;Gransbury, Isabella;Heckman, Sarah;Rosato, Jennifer;Delyser, Leigh Ann
Research Problem. The CAPE Framework has been used in multiple studies to situate capacity-building efforts within schools to offer equitable student access to and participation in K-12 computer science (CS) education. CAPE defines four major components of capacity, access, participation and experience. However, to define what each of the CAPE components can entail, well-defined subcomponents are needed.Research Question. Our research questions for this study were: What are the possible subcomponents for Capacity in the CAPE framework? and How feasible is it to use the newly defined subcomponents in a gap analysis study?Methodology. We conducted a qualitative content analysis by creating a codebook from an existing data framework and literature review. We reframed earlier findings on factors that influence student learning and academic achievement into the CAPE.Findings. We vetted an expanded framework that includes eight Capacity subcomponents, a third (categories) layer and a fourth (subcategories) layer that can be used to disaggregate the many elements that comprise Capacity. For our trial analysis of 196 articles, we added several codes at the category and subcategory level, but found no gaps in the codes for our a priori defined subcomponents.Implications. The extended Capacity framework can be used by others to inform its usage and develop a consensus of what is included within each subcomponent for Capacity, develop instrumentation and protocols for exploring Capacity at a more granular level, conduct scoping and literature reviews, and understand how various variables play a part in the CS educational ecosystem.
登录
查看更多内容
DOI:
--
发表时间:
2002
期刊:
影响因子:
--
作者:
Fred M. Newmann;A. Bryk
通讯作者:
A. Bryk
DOI:
10.1145/3291279.3341206
发表时间:
2019
期刊:
Proceedings of the 2019 ACM Conference on International Computing Education Research
影响因子:
--
作者:
Leigh Ann Delyser;Stephanie B. Wortel;Lauren Wright;Anisa Bora
通讯作者:
Anisa Bora
DOI:
10.1109/respect51740.2021.9620690
发表时间:
2021
期刊:
2021 Conference on Research in Equitable and Sustained Participation in Engineering, Computing, and Technology (RESPECT)
影响因子:
--
作者:
Carol L. Fletcher;Bryan Cox;Leigh Ann Delyser;Amy J. Ko
通讯作者:
Amy J. Ko
DOI:
--
发表时间:
2018
期刊:
影响因子:
--
作者:
Paulo Blikstein;Sepi Hejazi Moghadam
通讯作者:
Sepi Hejazi Moghadam
影响因子:
--
作者:
Angela R. Watson
通讯作者:
Angela R. Watson