Explaining Code with a Purpose: An Integrated Approach for Developing Code Comprehension and Prompting Skills Article Swipe
Paul Denny
,
David H. Smith
,
Max Fowler
,
James Prather
,
Brett A. Becker
,
Juho Leinonen
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2403.06050
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2403.06050
Reading, understanding and explaining code have traditionally been important skills for novices learning programming. As large language models (LLMs) become prevalent, these foundational skills are more important than ever given the increasing need to understand and evaluate model-generated code. Brand new skills are also needed, such as the ability to formulate clear prompts that can elicit intended code from an LLM. Thus, there is great interest in integrating pedagogical approaches for the development of both traditional coding competencies and the novel skills required to interact with LLMs. One effective way to develop and assess code comprehension ability is with ``Explain in plain English'' (EiPE) questions, where students succinctly explain the purpose of a fragment of code. However, grading EiPE questions has always been difficult given the subjective nature of evaluating written explanations and this has stifled their uptake. In this paper, we explore a natural synergy between EiPE questions and code-generating LLMs to overcome this limitation. We propose using an LLM to generate code based on students' responses to EiPE questions -- not only enabling EiPE responses to be assessed automatically, but helping students develop essential code comprehension and prompt crafting skills in parallel. We investigate this idea in an introductory programming course and report student success in creating effective prompts for solving EiPE questions. We also examine student perceptions of this activity and how it influences their views on the use of LLMs for aiding and assessing learning.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2403.06050
- https://arxiv.org/pdf/2403.06050
- OA Status
- green
- Cited By
- 4
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W4392737191Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2403.06050Digital Object Identifier
- Title
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Explaining Code with a Purpose: An Integrated Approach for Developing Code Comprehension and Prompting SkillsWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-03-10Full publication date if available
- Authors
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Paul Denny, David H. Smith, Max Fowler, James Prather, Brett A. Becker, Juho LeinonenList of authors in order
- Landing page
-
https://arxiv.org/abs/2403.06050Publisher landing page
- PDF URL
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https://arxiv.org/pdf/2403.06050Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2403.06050Direct OA link when available
- Concepts
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Code (set theory), Computer science, Comprehension, Programming language, Program comprehension, Psychology, Software, Software system, Set (abstract data type)Top concepts (fields/topics) attached by OpenAlex
- Cited by
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4Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 2Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.subjective | 126 |
| abstract_inverted_index.succinctly | 107 |
| abstract_inverted_index.understand | 34 |
| abstract_inverted_index.development | 72 |
| abstract_inverted_index.integrating | 67 |
| abstract_inverted_index.investigate | 195 |
| abstract_inverted_index.limitation. | 155 |
| abstract_inverted_index.pedagogical | 68 |
| abstract_inverted_index.perceptions | 219 |
| abstract_inverted_index.programming | 201 |
| abstract_inverted_index.traditional | 75 |
| abstract_inverted_index.competencies | 77 |
| abstract_inverted_index.explanations | 131 |
| abstract_inverted_index.foundational | 22 |
| abstract_inverted_index.introductory | 200 |
| abstract_inverted_index.programming. | 13 |
| abstract_inverted_index.comprehension | 95, 187 |
| abstract_inverted_index.traditionally | 6 |
| abstract_inverted_index.understanding | 1 |
| abstract_inverted_index.automatically, | 180 |
| abstract_inverted_index.code-generating | 150 |
| abstract_inverted_index.model-generated | 37 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 6 |
| citation_normalized_percentile |