Preparing the eLuna Visual Language for Human-AI Co-Specification and Code Automation.
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| Title: | Preparing the eLuna Visual Language for Human-AI Co-Specification and Code Automation. |
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| Authors: | Breien, Fredrik1 fredrik.breien@uib.no, Schevenhoven, Francine Janneke2 francine.schevenhoven@uib.no |
| Source: | Proceedings of the European Conference on Games Based Learning. 2025, Vol. 19 Issue 1, p85-93. 9p. |
| Subject Terms: | *Gamification, *Climate change education, *Scholarly method, Visual programming languages (Computer science), Human-artificial intelligence interaction, Narration, Software frameworks, Automation software |
| Abstract: | This paper presents the application and refinement of the eLuna Framework. The framework includes a two-phase collaborative method for designing and specifying narrative game-based learning (GBL) systems using a visual language. Researchers tested the framework through a real-world project that developed the Super Climate Model Game, a mobile game that explores learning objectives in climate science. Participatory action research and heuristic usability inspection methods were used to evaluate the eLuna Visual Language. The goal was to determine whether it could create unambiguous and expressively complete blueprints for narrative GBL development, and subsequently to rectify uncovered ambiguities and expressive shortcomings to enable future AI agent collaboration and code automation in development of narrative GBL using eLuna. Confirming previous research, the eLuna co-design phase was found to be highly usable. It effectively structured narrative GBL elements, supported collaboration between educators and developers, and ensured compliance with characteristics enforcing positive learning outcomes. However, the visual language lacked the expressive completeness and unambiguity required for AI agent collaboration and automated code generation. Seven modifications were proposed to address these issues while preserving the framework's empowering co-design properties alongside its originally targeted characteristics that are associated with positive effects on engagement, motivation, and learning. These seven changes improve human readability and computational parsing. They also bring the visual language closer to supporting automated coding processes. The Super Climate Model Game was developed using a hybrid approach that combined eLuna and SCRUM. This approach was necessary due to real-world constraints. The project demonstrated the flexibility of the eLuna Method and its relevance in practical development scenarios. This research moves the eLuna Visual Language closer to enabling multiagent human-AI collaboration and automated code generation. Future work will focus on creating an online visual editor for collaboration between human and AI agents. A semantic parser will also be developed to translate eLuna blueprints into structured data formats for automated code generation. These advancements will support scalable and effective narrative GBL development, delivering positive learning outcomes to diverse learner demographics. [ABSTRACT FROM AUTHOR] |
| Copyright of Proceedings of the European Conference on Games Based Learning is the property of Academic Conferences & Publishing International 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: | Education Research Complete |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 188664507 AccessLevel: 6 PubType: Conference PubTypeId: conference PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Preparing the eLuna Visual Language for Human-AI Co-Specification and Code Automation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Breien%2C+Fredrik%22">Breien, Fredrik</searchLink><relatesTo>1</relatesTo><i> fredrik.breien@uib.no</i><br /><searchLink fieldCode="AR" term="%22Schevenhoven%2C+Francine+Janneke%22">Schevenhoven, Francine Janneke</searchLink><relatesTo>2</relatesTo><i> francine.schevenhoven@uib.no</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Proceedings+of+the+European+Conference+on+Games+Based+Learning%22">Proceedings of the European Conference on Games Based Learning</searchLink>. 2025, Vol. 19 Issue 1, p85-93. 9p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Gamification%22">Gamification</searchLink><br />*<searchLink fieldCode="DE" term="%22Climate+change+education%22">Climate change education</searchLink><br />*<searchLink fieldCode="DE" term="%22Scholarly+method%22">Scholarly method</searchLink><br /><searchLink fieldCode="DE" term="%22Visual+programming+languages+%28Computer+science%29%22">Visual programming languages (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Human-artificial+intelligence+interaction%22">Human-artificial intelligence interaction</searchLink><br /><searchLink fieldCode="DE" term="%22Narration%22">Narration</searchLink><br /><searchLink fieldCode="DE" term="%22Software+frameworks%22">Software frameworks</searchLink><br /><searchLink fieldCode="DE" term="%22Automation+software%22">Automation software</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper presents the application and refinement of the eLuna Framework. The framework includes a two-phase collaborative method for designing and specifying narrative game-based learning (GBL) systems using a visual language. Researchers tested the framework through a real-world project that developed the Super Climate Model Game, a mobile game that explores learning objectives in climate science. Participatory action research and heuristic usability inspection methods were used to evaluate the eLuna Visual Language. The goal was to determine whether it could create unambiguous and expressively complete blueprints for narrative GBL development, and subsequently to rectify uncovered ambiguities and expressive shortcomings to enable future AI agent collaboration and code automation in development of narrative GBL using eLuna. Confirming previous research, the eLuna co-design phase was found to be highly usable. It effectively structured narrative GBL elements, supported collaboration between educators and developers, and ensured compliance with characteristics enforcing positive learning outcomes. However, the visual language lacked the expressive completeness and unambiguity required for AI agent collaboration and automated code generation. Seven modifications were proposed to address these issues while preserving the framework's empowering co-design properties alongside its originally targeted characteristics that are associated with positive effects on engagement, motivation, and learning. These seven changes improve human readability and computational parsing. They also bring the visual language closer to supporting automated coding processes. The Super Climate Model Game was developed using a hybrid approach that combined eLuna and SCRUM. This approach was necessary due to real-world constraints. The project demonstrated the flexibility of the eLuna Method and its relevance in practical development scenarios. This research moves the eLuna Visual Language closer to enabling multiagent human-AI collaboration and automated code generation. Future work will focus on creating an online visual editor for collaboration between human and AI agents. A semantic parser will also be developed to translate eLuna blueprints into structured data formats for automated code generation. These advancements will support scalable and effective narrative GBL development, delivering positive learning outcomes to diverse learner demographics. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Proceedings of the European Conference on Games Based Learning is the property of Academic Conferences & Publishing International 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.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.34190/ecgbl.19.1.3976 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 85 Subjects: – SubjectFull: Gamification Type: general – SubjectFull: Climate change education Type: general – SubjectFull: Scholarly method Type: general – SubjectFull: Visual programming languages (Computer science) Type: general – SubjectFull: Human-artificial intelligence interaction Type: general – SubjectFull: Narration Type: general – SubjectFull: Software frameworks Type: general – SubjectFull: Automation software Type: general Titles: – TitleFull: Preparing the eLuna Visual Language for Human-AI Co-Specification and Code Automation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Breien, Fredrik – PersonEntity: Name: NameFull: Schevenhoven, Francine Janneke IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20490992 Numbering: – Type: volume Value: 19 – Type: issue Value: 1 Titles: – TitleFull: Proceedings of the European Conference on Games Based Learning Type: main |
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