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Programming, Problem Solving, and Self-Awareness: Effects of Explicit Guidance
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More people are learning to code than ever, but most learning opportunities do not explicitly teach the problem solving skills necessary to succeed at open-ended programming problems. In this paper, we present a new approach to impart these skills, consisting of: 1) explicit instruction on programming problem solving, which frames coding as a process of translating mental representations of problems and solutions into source code, 2) a method of visualizing and monitoring progression through six problem solving stages, 3) explicit, on-demand prompts for learners to reflect on their strategies when seeking help from instructors, and 4) context-sensitive help embedded in a code editor that reinforces the problem solving instruction. We experimentally evaluated the effects of our intervention across two 2-week web development summer camps with 48 high school students, finding that the intervention increased productivity, independence, programming self-efficacy, metacognitive awareness, and growth mindset. We discuss the implications of these results on learning technologies and classroom instruction.
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“This growing body of evidence underscores the importance of metacognitive capabilities-specifically, an ability to maintain agency and critical judgment when presented with external solutions-as essential to the effective use of GenAI for programming.”
From The Effects of GitHub Copilot on Computing Students' Programming Effectiveness, Efficiency, and Processes in Brownfield Coding Tasks (2025) · cites this paper as [23]
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Metadata
- Authors
- Loksa, D., Ko, A. J., Jernigan, W., Oleson, A., Mendez, C. J., & Burnett, M. M.
- Affiliations
- University of Washington (US)
- Oregon State University, Corvallis, OR, USA
- Oregon State University (US)
- Venue
- Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2016-05-07
- Pages
- 1449-1461
- OpenAlex
- W2407505401
- Cited by
- 223
- References
- 62
- Citations by year
- 2026: 23 · 2025: 18 · 2024: 29 · 2023: 22 · 2022: 20 · 2021: 17 · 2020: 17 · 2019: 55 · 2018: 10 · 2017: 11 · 2016: 1
- FWCI
- 20.48
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion)
- Funders
- National Science Foundation (1240786, 1314399, 1153625)
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Teaching and Learning Programming
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Social Sciences › Education › Problem and Project Based Learning
- Keywords
- programming problem solving, self-awareness, metacognition, growth mindset, programming self-efficacy, problem-solving stages, context-sensitive help, high school students, learner autonomy, programming education
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