期刊
JOURNAL OF THE LEARNING SCIENCES
卷 30, 期 4-5, 页码 576-610出版社
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/10508406.2021.1936531
关键词
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资金
- National Science Foundation [1019396, 1908110]
- Scratch Foundation
- Direct For Education and Human Resources
- Division Of Research On Learning [1908110] Funding Source: National Science Foundation
- Division Of Research On Learning
- Direct For Education and Human Resources [1019396] Funding Source: National Science Foundation
This study found that children make progress in self-directed programming projects through strategies such as experimenting, planning, persevering, and collaborating. The application of structuration theory reveals that these strategies are connected to three key structures-personal interests, access to others, and time-which have enabling and inhibiting effects on their actions.
Background: A variety of self-directed opportunities to learn how to program are available to kids. But how do kids manage the motivational and cognitive challenges of creating projects? Methods: I examined this question in the context of kids working at home with the Scratch programming environment, based on thematic analysis of semi-structured interviews with 30 young creators discussing their project development processes. Findings: Ten strategies were central to kids' progress with their projects: experimenting, planning, compromising, persevering, taking a break, asking for help, studying projects, adapting projects, creating with others, and helping others learn. Drawing on structuration theory, which frames an individual's purposeful actions as connected to the internal and external structures to which they have access, I recast these kids' strategies as connected to three key structures-personal interests, access to others, and time-with both enabling and inhibiting effects. Contribution: This study contributes to decades-long conversations about self-directed learning, offering a new view into the relationship between structure and self-direction by applying structuration theory to informal computer science learning. It offers a set of structures to consider when designing in support of self-direction, and acknowledges the prior problem-solving strategies that learners may bring to new areas of learning.
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