CodeExemplar: Example-Based Scaffolding for Introductory Programming in the GenAI Era
Fuente:
arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2026
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| _version_ | 1866910070549250048 |
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| author | Ma, Boxuan Konomi, Shinichi |
| author_facet | Ma, Boxuan Konomi, Shinichi |
| contents | Generative AI (GenAI) can generate working code with minimal effort, creating a tension in introductory programming: students need timely help, yet direct solutions invite copying and can short-circuit reasoning. To address this, we propose example-based scaffolding, where GenAI provides scaffold examples that match a target task's underlying reasoning pattern but differ in contexts to support analogical transfer while reducing copying. We contribute a two-dimensional taxonomy, design guidelines, and CodeExemplar, a prototype integrated with auto-graded tasks, with initial formative feedback from a classroom pilot and instructor interviews. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_23830 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | CodeExemplar: Example-Based Scaffolding for Introductory Programming in the GenAI Era Ma, Boxuan Konomi, Shinichi Human-Computer Interaction Generative AI (GenAI) can generate working code with minimal effort, creating a tension in introductory programming: students need timely help, yet direct solutions invite copying and can short-circuit reasoning. To address this, we propose example-based scaffolding, where GenAI provides scaffold examples that match a target task's underlying reasoning pattern but differ in contexts to support analogical transfer while reducing copying. We contribute a two-dimensional taxonomy, design guidelines, and CodeExemplar, a prototype integrated with auto-graded tasks, with initial formative feedback from a classroom pilot and instructor interviews. |
| title | CodeExemplar: Example-Based Scaffolding for Introductory Programming in the GenAI Era |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2603.23830 |