The expansion of computer science (CS) into K-12 contexts has resulted in a diverse ecosystem of curricula designed for various grade levels, teaching a variety of concepts, and using a wide array of different programming languages and environments. Many students will learn more than one programming language over the course of their studies. There is a growing need for computer science assessment that can measure student learning over time, but the multilingual learning pathways create two challenges for assessment in computer science. First, there are not validated assessments for all of the programming languages used in CS classrooms. Second, it is difficult to measure growth in student understanding over time when students move between programming languages as they progress in their CS education. In this position paper, we argue that the field of computing education research needs to develop methods and tools to better measure students' learning over time and across the different programming languages they learn along the way. In presenting this position, we share data that shows students approach assessment problems differently depending on the programming language, even when the problems are conceptually isomorphic, and discuss some approaches for developing multilingual assessments of student learning over time.
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“What Happens to the Raspado man in a Cash-free Society?”: Teaching and Learning Socially Responsible Computing
The Computer Science for All movement is bringing CS to K-12 classrooms across the nation. At the same time, new technologies created by computer scientists have been reproducing existing inequities that directly impact today's youth, while being “promoted and perceived as more objective or progressive than the discriminatory systems of a previous era” [1, p. 5–6]. Current efforts are being made to expose students to the social impact and ethics of computing at both the K-12 and university-level—which we refer to as “socially responsible computing” (SRC) in this paper. Yet there is a lack of research describing what such SRC teaching and learning actively involve and look like, particularly in K-12 classrooms. This paper fills this gap with findings from a research-practice partnership, through a qualitative study in an Advanced Placement Computer Science Principles classroom enrolling low-income Latino/a/x students from a large urban community. The findings illustrate 1) details of teaching practice and student learning during discussions about SRC; 2) the impact these SRC experiences have on student engagement with CS; 3) a teacher's reflections on key considerations for effective SRC pedagogy; and 4) why students’ perspectives and agency must be centered through SRC in computing education.
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- Award ID(s):
- 2030935
- NSF-PAR ID:
- 10344346
- Date Published:
- Journal Name:
- ACM Transactions on Computing Education
- Volume:
- 21
- Issue:
- 4
- ISSN:
- 1946-6226
- Page Range / eLocation ID:
- 1 to 28
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1145/3453653
