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AVINA: Automated Visual Novel Generation Using Large Language Models — An Interactive Framework for Gamified Academic Integrity and Ethics Training

Academic IntegrityAccessibility and InclusionCurriculum DesignDigital Learning

Description

This resource presents AVINA, an automated visual novel generator using large language models to transform multiple-choice questions into interactive learning narratives. Designed for educators and students, it supports gamified training in academic integrity and ethical decision-making through adaptive storytelling and experiential learning.

Benefit of this resource and how to make the best use of it

The AVINA resource enables educators and academic developers to transform traditional multiple-choice assessments into interactive, story-based learning experiences. By converting question sets into narrative pathways, it supports deeper engagement with topics such as academic integrity, research ethics, and professional decision-making.

Educators can integrate AVINA into their modules to complement lectures or online training, offering students a dynamic way to explore ethical dilemmas and critical thinking. Instructional designers may adapt the framework to other domains—such as sustainability, data ethics, or digital literacy—by simply replacing the question bank and modifying the narrative context.

Used in workshops, tutorials, or self-directed learning environments, AVINA promotes reflective discussion, enhances digital fluency, and allows students to learn through consequences and scenario-based reasoning—making complex ethical concepts both relatable and memorable.

People, communities and initiatives

Collaborators

Abraham Campbell · Caoimhe Doyle · Christina Killian · Guerrino Macori · Katie Wall · Olateju Idowu · Prachi Garg · Théotime Maillarbaux · Xiaoyu Han · Xuanhui Xu

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Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA)

This work is licensed under a CC BY-NC-SA license, allowing sharing and adaptation for non-commercial use with proper attribution, provided derivative works use the same license.

https://creativecommons.org/licenses/by-nc-sa/4.0/

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16/09/2025

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