An Automatic Code Generation Tool Using Generative Artificial Intelligence for Element Fill-in-the-Blank Problems in a Java Programming Learning Assistant System Article Swipe
Zihao Zhu
,
Md. Mahbubur Rahman
,
Mustika Mentari
,
Soe Thandar Aung
,
Wen-Chung Kao
,
Yi‐Fang Lee
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/electronics14112261
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/electronics14112261
Presently, Java is a fundamental object-oriented programming language that can be mastered by any student in information technology or computer science. To assist both teachers and students, we developed the Java Programming Learning Assistant System (JPLAS). It offers several types of practice problems with different levels and learning goals for step-by-step self-study, where any answer is automatically marked in the system. One challenge for teachers that is addressed with JPLAS is the generation of proper exercise problems that meet learning requirements. We implemented programs for generating new problems from given source codes, as collecting and evaluating suitable codes remains time-consuming. In this paper, we present an automatic code generation tool using generative AI to solve this challenge. Prompt engineering is used to help generate an appropriate source code, and the quality is controlled by optimizing the prompt based on the outputs. For applications in JPLAS, we implement a web application system to automatically generate an element fill-in-the-blank problem (EFP) in JPLAS. For evaluation, we select the element fill-in-the-blank problem (EFP) as the target type in JPLAS and generate several instances using this tool. The results confirm the validity and effectiveness of the proposed method.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/electronics14112261
- https://www.mdpi.com/2079-9292/14/11/2261/pdf?version=1748696974
- OA Status
- gold
- References
- 20
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4410959216
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4410959216Canonical identifier for this work in OpenAlex
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https://doi.org/10.3390/electronics14112261Digital Object Identifier
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An Automatic Code Generation Tool Using Generative Artificial Intelligence for Element Fill-in-the-Blank Problems in a Java Programming Learning Assistant SystemWork title
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articleOpenAlex work type
- Language
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enPrimary language
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2025Year of publication
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2025-05-31Full publication date if available
- Authors
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Zihao Zhu, Md. Mahbubur Rahman, Mustika Mentari, Soe Thandar Aung, Wen-Chung Kao, Yi‐Fang LeeList of authors in order
- Landing page
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https://doi.org/10.3390/electronics14112261Publisher landing page
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https://www.mdpi.com/2079-9292/14/11/2261/pdf?version=1748696974Direct link to full text PDF
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2079-9292/14/11/2261/pdf?version=1748696974Direct OA link when available
- Concepts
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Computer science, Java, Blank, Source code, Element (criminal law), Artificial intelligence, Generative grammar, Code (set theory), Programming language, Code generation, Software engineering, Engineering, Set (abstract data type), Operating system, Key (lock), Mechanical engineering, Political science, LawTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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