CoRemix: Supporting Online Learning in Scratch Community with Visual Flowchart and Generative AI.
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| Title: | CoRemix: Supporting Online Learning in Scratch Community with Visual Flowchart and Generative AI. |
|---|---|
| Authors: | Chen, Yunnong (AUTHOR), Yu, Xinyu (AUTHOR), Shen, Yishu (AUTHOR), Liu, Ruiyi (AUTHOR), Sun, Lingyun (AUTHOR), Chen, Liuqing (AUTHOR) |
| Source: | International Journal of Human-Computer Interaction. May2026, Vol. 42 Issue 10, p7475-7500. 26p. |
| Subjects: | Flow charts, Generative artificial intelligence, Student projects, Online education, Computer programming education, Computer software development, Visual programming languages (Computer science) |
| Abstract: | Online programming communities give novices places to explore computing through user-generated projects, but limited structure can hinder a steadily challenging learning path. Beginners often struggle to interpret key events and relationships in projects, connect them to core concepts, and remix practices. We present CoRemix, a generative-AI community support system that uses visual flowcharts to clarify project logic. CoRemix introduces a prompting pipeline paired with a visual-textual scaffold that guides learners in constructing flowcharts. We further incorporate static project analysis and retrieval-augmented generation (RAG) to raise the precision of large-language-model outputs. In technical evaluations, static analysis and RAG improved response quality. In a user study, CoRemix outperformed a baseline in helping learners understand complex projects, strengthen computing-concept skills, and report better learning experiences within online communities. These gains include clearer event sequencing, improved identification of relationships across sprites and scripts, stronger remix strategies, and higher perceived scaffolding for progressive challenge. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd 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: | Psychology and Behavioral Sciences Collection |
| FullText | Text: Availability: 0 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 193623233 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: CoRemix: Supporting Online Learning in Scratch Community with Visual Flowchart and Generative AI. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chen%2C+Yunnong%22">Chen, Yunnong</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yu%2C+Xinyu%22">Yu, Xinyu</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shen%2C+Yishu%22">Shen, Yishu</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Ruiyi%22">Liu, Ruiyi</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sun%2C+Lingyun%22">Sun, Lingyun</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Liuqing%22">Chen, Liuqing</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Human-Computer+Interaction%22">International Journal of Human-Computer Interaction</searchLink>. May2026, Vol. 42 Issue 10, p7475-7500. 26p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Flow+charts%22">Flow charts</searchLink><br /><searchLink fieldCode="DE" term="%22Generative+artificial+intelligence%22">Generative artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Student+projects%22">Student projects</searchLink><br /><searchLink fieldCode="DE" term="%22Online+education%22">Online education</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+programming+education%22">Computer programming education</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software+development%22">Computer software development</searchLink><br /><searchLink fieldCode="DE" term="%22Visual+programming+languages+%28Computer+science%29%22">Visual programming languages (Computer science)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Online programming communities give novices places to explore computing through user-generated projects, but limited structure can hinder a steadily challenging learning path. Beginners often struggle to interpret key events and relationships in projects, connect them to core concepts, and remix practices. We present CoRemix, a generative-AI community support system that uses visual flowcharts to clarify project logic. CoRemix introduces a prompting pipeline paired with a visual-textual scaffold that guides learners in constructing flowcharts. We further incorporate static project analysis and retrieval-augmented generation (RAG) to raise the precision of large-language-model outputs. In technical evaluations, static analysis and RAG improved response quality. In a user study, CoRemix outperformed a baseline in helping learners understand complex projects, strengthen computing-concept skills, and report better learning experiences within online communities. These gains include clearer event sequencing, improved identification of relationships across sprites and scripts, stronger remix strategies, and higher perceived scaffolding for progressive challenge. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd 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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=193623233 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/10447318.2025.2559053 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 26 StartPage: 7475 Subjects: – SubjectFull: Flow charts Type: general – SubjectFull: Generative artificial intelligence Type: general – SubjectFull: Student projects Type: general – SubjectFull: Online education Type: general – SubjectFull: Computer programming education Type: general – SubjectFull: Computer software development Type: general – SubjectFull: Visual programming languages (Computer science) Type: general Titles: – TitleFull: CoRemix: Supporting Online Learning in Scratch Community with Visual Flowchart and Generative AI. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chen, Yunnong – PersonEntity: Name: NameFull: Yu, Xinyu – PersonEntity: Name: NameFull: Shen, Yishu – PersonEntity: Name: NameFull: Liu, Ruiyi – PersonEntity: Name: NameFull: Sun, Lingyun – PersonEntity: Name: NameFull: Chen, Liuqing IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 10447318 Numbering: – Type: volume Value: 42 – Type: issue Value: 10 Titles: – TitleFull: International Journal of Human-Computer Interaction Type: main |
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