Human-AI Co-Creation of Worked Examples for Programming Classes
Fuente:
arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866929259088445440 |
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| author | Hassany, Mohammad Brusilovsky, Peter Ke, Jiaze Akhuseyinoglu, Kamil Narayanan, Arun Balajiee Lekshmi |
| author_facet | Hassany, Mohammad Brusilovsky, Peter Ke, Jiaze Akhuseyinoglu, Kamil Narayanan, Arun Balajiee Lekshmi |
| contents | Worked examples (solutions to typical programming problems presented as a source code in a certain language and are used to explain the topics from a programming class) are among the most popular types of learning content in programming classes. Most approaches and tools for presenting these examples to students are based on line-by-line explanations of the example code. However, instructors rarely have time to provide line-by-line explanations for a large number of examples typically used in a programming class. In this paper, we explore and assess a human-AI collaboration approach to authoring worked examples for Java programming. We introduce an authoring system for creating Java worked examples that generates a starting version of code explanations and presents it to the instructor to edit if necessary.We also present a study that assesses the quality of explanations created with this approach |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_16235 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Human-AI Co-Creation of Worked Examples for Programming Classes Hassany, Mohammad Brusilovsky, Peter Ke, Jiaze Akhuseyinoglu, Kamil Narayanan, Arun Balajiee Lekshmi Human-Computer Interaction Artificial Intelligence Worked examples (solutions to typical programming problems presented as a source code in a certain language and are used to explain the topics from a programming class) are among the most popular types of learning content in programming classes. Most approaches and tools for presenting these examples to students are based on line-by-line explanations of the example code. However, instructors rarely have time to provide line-by-line explanations for a large number of examples typically used in a programming class. In this paper, we explore and assess a human-AI collaboration approach to authoring worked examples for Java programming. We introduce an authoring system for creating Java worked examples that generates a starting version of code explanations and presents it to the instructor to edit if necessary.We also present a study that assesses the quality of explanations created with this approach |
| title | Human-AI Co-Creation of Worked Examples for Programming Classes |
| topic | Human-Computer Interaction Artificial Intelligence |
| url | https://arxiv.org/abs/2402.16235 |