Supporting Diverse Learners in K-8 Computational Thinking with TIPP&SEE
Abstract
With the growth of Computer Science (CS) and Computational Thinking (CT) instruction in the primary/elementary domain, it is important that such instruction supports diverse learners. Four categories of students -- students in poverty, multi-lingual students, students with disabilities, and students who have below-grade-level proficiency in reading and math, may face academic challenges that can hinder their learning in CS/CT curricula. However, little is known about how to support these students in CS/CT instruction, especially at this young age. TIPP&SEE, a meta-cognitive strategy that scaffolds learning by proceduralizing engagement through example code, may offer some support. A quasi-experimental study revealed that the gaps between students with and without academic challenges narrowed when using the TIPP&SEE strategy, indicating its promise in providing equitable learning opportunities in CS/CT.
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A few remaining papers focused on teaching methods for 'diverse learners,' including disabled students, or on teaching specialist teachers-in-training about computational thinking.
“A few remaining papers focused on teaching methods for 'diverse learners,' including disabled students [39], or on teaching specialist teachers-in-training about computational thinking.”
From Where are the Disabled Students?: A Literature Review of Disability Inclusion in Computing Education Research (2026) · cites this paper as [39]
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References 54 · Cited by 10
- Authors
- Salac, J., Thomas, C., Butler, C., & Franklin, D.
- Affiliations
- University of Chicago (US)
- Texas State University (US)
- Venue
- Proceedings of the 52nd ACM Technical Symposium on Computer Science Education
- Publisher
- ACM
- Published
- 2021-03-03
- Pages
- 246-252
- OpenAlex
- W3134152494
- Cited by
- 10
- References
- 54
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 3 · 2023: 1 · 2022: 2 · 2021: 1
- FWCI
- 2.04
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- ACM Technical Symposium on Computer Science Education (SIGCSE) (publishedVersion)
- Funders
- National Science Foundation (1660871 and DGE-1746045)
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Teaching and Learning Programming
- Social Sciences › Gender Studies › Gender and Technology in Education
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Keywords
- computational thinking, metacognitive strategies, scaffolding, student diversity, low-income students, multilingual learners, students with disabilities
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