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Computer Science (CS) is not introduced equitably across K-12 schools, yet it is increasingly a necessary skill regardless of vocational pathway. Co-curricular activities such as summer camps have become a popular way to introduce CS to K-12 students. Researchers at our institution, through partnerships with other educational institutions and practitioners, developed a transdisciplinary approach of teaching CS in K-12 informal learning environments. Building on positive results in the K-12 informal learning environment, researchers are exploring the applicability of the transdisciplinary modules in formal instruction for early college learners in CS0 and CS1 courses. This paper explores self-efficacy data collected from multiple CS0 and CS1 courses. Learners include freshmen in computing majors and in non-computing majors. We compare their self efficacy growth in computing across race and gender, considering their formal or informal CS education experiences prior to entering college. This work is a part of a larger effort to redesign CS0 and CS1 courses to introduce more complex concepts and important design concepts such as parallel and distributed computing earlier in the curriculum. The authors’ longer-term goal is to investigate active learning strategies that will introduce higher level computer science topics early in the curriculum to enable students to recognize content applicability earlier in their college pathway.
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From Data Work to Data Science: Getting Past the Gatekeepers
While much computing education research focuses on formal K-12 and undergraduate CS education, a growing body of work is exploring alternative pathways to computing careers [7, 16], alternative outcomes for computing education [15], and adult learning in workplace communities [9, 13]. Within this context, we are studying novice-friendly computational work as a pathway to computing careers. Novice-friendly computational work is a phrase we use to describe computing activities that have a low barrier to entry, are used in authentic contexts outside formal CS spaces, and are legitimate computational activities, e.g., data work [13], web design [5], and Salesforce CRM [9]. Learning through authentic work practices is a promising pathway to computing careers because it poses lower financial and findability barriers than coding bootcamps [14] and online courses [4]. However, gatekeeping culture in computing deems novice-friendly tools like Excel, HTML/CSS, and JSON distinct from “real” programming [12]. Further, novice workers may not be considered legitimate peripheral members of computing communities of practice despite engaging in legitimate computational work [6, 11].
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- Award ID(s):
- 1951818
- PAR ID:
- 10469964
- Publisher / Repository:
- ACM
- Date Published:
- ISBN:
- 9781450399753
- Page Range / eLocation ID:
- 1 to 2
- Format(s):
- Medium: X
- Location:
- Chicago IL USA
- Sponsoring Org:
- National Science Foundation
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