Promoting problem-solving skills in computer programming with an LLM-empowered multi-agent system: A cognitive apprenticeship perspective.
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| Title: | Promoting problem-solving skills in computer programming with an LLM-empowered multi-agent system: A cognitive apprenticeship perspective. |
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| Authors: | Wang, Xiaochun1 wang_xiaochun@sohu.com, Li, Jingze1 ljz990317@163.com, Gu, Qirui1 2275845126@qq.com, Liang, Deming2 ldm_cnu2014@163.com |
| Source: | Educational Technology & Society. Apr2026, Vol. 29 Issue 2, p355-374. 20p. |
| Subject Terms: | *Computer programming, *Computer programming education, *Problem solving, *Cognitive training, *Educational technology, Multiagent systems, Language models |
| Abstract: | To address the limitations of large language models in fostering problem-solving skills in programming, this paper proposes an LLM-empowered multi-agent system grounded in a theoretical framework that integrates cognitive apprenticeship with the Use-Modify-Create programming learning model. Employing a mixed-methods research approach, the study provides a preliminary investigation into the potential of such systems to support the development of programming problem-solving skills. Findings indicate that the LLMempowered multi-agent system can effectively facilitate problem-solving learning in computer programming, simulate the instructional process for programming problem-solving based on cognitive apprenticeship, and reduce the extraneous cognitive load associated with prompt engineering. Moreover, students in the experimental group expressed favorable attitudes and a willingness to continue using the system. This research offers a promising solution to the challenge of insufficient instructor guidance in programming education and lays the groundwork for exploring the role of LLM-empowered multi-agent systems in supporting or assuming certain instructional functions. [ABSTRACT FROM AUTHOR] |
| Copyright of Educational Technology & Society is the property of International Forum of Educational Technology & Society (IFETS) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 192828638 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Promoting problem-solving skills in computer programming with an LLM-empowered multi-agent system: A cognitive apprenticeship perspective. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Wang%2C+Xiaochun%22">Wang, Xiaochun</searchLink><relatesTo>1</relatesTo><i> wang_xiaochun@sohu.com</i><br /><searchLink fieldCode="AR" term="%22Li%2C+Jingze%22">Li, Jingze</searchLink><relatesTo>1</relatesTo><i> ljz990317@163.com</i><br /><searchLink fieldCode="AR" term="%22Gu%2C+Qirui%22">Gu, Qirui</searchLink><relatesTo>1</relatesTo><i> 2275845126@qq.com</i><br /><searchLink fieldCode="AR" term="%22Liang%2C+Deming%22">Liang, Deming</searchLink><relatesTo>2</relatesTo><i> ldm_cnu2014@163.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Educational+Technology+%26+Society%22">Educational Technology & Society</searchLink>. Apr2026, Vol. 29 Issue 2, p355-374. 20p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Computer+programming%22">Computer programming</searchLink><br />*<searchLink fieldCode="DE" term="%22Computer+programming+education%22">Computer programming education</searchLink><br />*<searchLink fieldCode="DE" term="%22Problem+solving%22">Problem solving</searchLink><br />*<searchLink fieldCode="DE" term="%22Cognitive+training%22">Cognitive training</searchLink><br />*<searchLink fieldCode="DE" term="%22Educational+technology%22">Educational technology</searchLink><br /><searchLink fieldCode="DE" term="%22Multiagent+systems%22">Multiagent systems</searchLink><br /><searchLink fieldCode="DE" term="%22Language+models%22">Language models</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: To address the limitations of large language models in fostering problem-solving skills in programming, this paper proposes an LLM-empowered multi-agent system grounded in a theoretical framework that integrates cognitive apprenticeship with the Use-Modify-Create programming learning model. Employing a mixed-methods research approach, the study provides a preliminary investigation into the potential of such systems to support the development of programming problem-solving skills. Findings indicate that the LLMempowered multi-agent system can effectively facilitate problem-solving learning in computer programming, simulate the instructional process for programming problem-solving based on cognitive apprenticeship, and reduce the extraneous cognitive load associated with prompt engineering. Moreover, students in the experimental group expressed favorable attitudes and a willingness to continue using the system. This research offers a promising solution to the challenge of insufficient instructor guidance in programming education and lays the groundwork for exploring the role of LLM-empowered multi-agent systems in supporting or assuming certain instructional functions. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Educational Technology & Society is the property of International Forum of Educational Technology & Society (IFETS) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.30191/ETS.202604_29(2).SP08 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 355 Subjects: – SubjectFull: Computer programming Type: general – SubjectFull: Computer programming education Type: general – SubjectFull: Problem solving Type: general – SubjectFull: Cognitive training Type: general – SubjectFull: Educational technology Type: general – SubjectFull: Multiagent systems Type: general – SubjectFull: Language models Type: general Titles: – TitleFull: Promoting problem-solving skills in computer programming with an LLM-empowered multi-agent system: A cognitive apprenticeship perspective. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang, Xiaochun – PersonEntity: Name: NameFull: Li, Jingze – PersonEntity: Name: NameFull: Gu, Qirui – PersonEntity: Name: NameFull: Liang, Deming IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 11763647 Numbering: – Type: volume Value: 29 – Type: issue Value: 2 Titles: – TitleFull: Educational Technology & Society Type: main |
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