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There is little empirical research related to how elementary students develop computational thinking (CT) and how they apply CT in problem-solving. To address this gap in knowledge, this study made use of learning trajectories (LTs; hypothesized learning goals, progressions, and activities) in CT concept areas such as sequence, repetition, conditionals, and decomposition to better understand students’ CT. This study implemented eight math-CT integrated lessons aligned to U.S. national mathematics education standards and the LTs with third- and fourth-grade students. This basic interpretive qualitative study aimed at gaining a deeper understanding of elementary students’ CT by having students express and articulate their CT in cognitive interviews. Participants’ ( n = 22) CT articulation was examined using a priori codes translated verbatim from the learning goals in the LTs and was mapped to the learning goals in the LTs. Results revealed a range of students’ CT in problem-solving, such as using precise and complete problem-solving instructions, recognizing repeating patterns, and decomposing arithmetic problems. By collecting empirical data on how students expressed and articulated their CT, this study makes theoretical contributions by generating initial empirical evidence to support the hypothesized learning goals and progressions in the LTs. This article also discusses the implications for integrated CT instruction and assessments at the elementary level.
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Bridging cultures and computing: Exploring the relationship between Appalachian problem solving and computational thinking
Students in Appalachia have a heritage of problem-solving. We explore how computational thinking (CT) relates to and complements this heritage by analyzing 34 local ingenuity stories, and perspectives from 35 community members about the relevance of CT. We found the two problem-solving approaches are meaningfully different, but can be used in concert. Since equating them could contribute to confusion and cultural erasure, researchers and educators bringing CT as a problem solving strategy into rural and other resourceful cultures must clarify what they mean by “CT helps problem solving.” In these cultures, CT skills are better introduced as new tools to expand students’ problem-solving toolkits, rather than tools that are identical to or better than those traditionally used in their culture.
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- PAR ID:
- 10544102
- Publisher / Repository:
- Taylor & Francis
- Date Published:
- Journal Name:
- Journal of Research on Technology in Education
- ISSN:
- 1539-1523
- Page Range / eLocation ID:
- 1 to 17
- Subject(s) / Keyword(s):
- Computational thinking problem solving Appalachia rural cultural responsiveness complex problem solving CS education
- 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/10.1080/15391523.2024.2399257
