Seasoning Data Modeling Education with GARLIC: A Participatory Co-Design Framework
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arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| _version_ | 1866911459493019648 |
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| author | Makovska, Viktoriia Michurin, Ihor Tokhtamysh, Mariia Fletcher, George Stoyanovich, Julia |
| author_facet | Makovska, Viktoriia Michurin, Ihor Tokhtamysh, Mariia Fletcher, George Stoyanovich, Julia |
| contents | Entity-Relationship (ER) modeling is commonly taught as a primarily technical activity, despite its central role in shaping how data systems represent people, processes, and institutions. Prior research in participatory design demonstrates that involving diverse stakeholders in modeling can surface tacit knowledge, challenge implicit assumptions, and produce more inclusive data representations. However, database education currently lacks structured pedagogical approaches for teaching participatory ER modeling in practice.
We introduce the GARLIC methodology for teaching and learning participatory ER modeling. GARLIC adapts and extends the ONION participatory ER modeling framework of Makovska et al.(HILDA 2025) into a workshop-based learning format that combines role-playing, collaborative synthesis, guided critique, and iterative refinement. GARLIC is designed to develop both technical modeling skills and critical awareness of the social and ethical dimensions of data representation. GARLIC lowers the barrier to participatory ER modeling and equips students with practical skills for collaborative, inclusive data model design. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_18274 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Seasoning Data Modeling Education with GARLIC: A Participatory Co-Design Framework Makovska, Viktoriia Michurin, Ihor Tokhtamysh, Mariia Fletcher, George Stoyanovich, Julia Databases Entity-Relationship (ER) modeling is commonly taught as a primarily technical activity, despite its central role in shaping how data systems represent people, processes, and institutions. Prior research in participatory design demonstrates that involving diverse stakeholders in modeling can surface tacit knowledge, challenge implicit assumptions, and produce more inclusive data representations. However, database education currently lacks structured pedagogical approaches for teaching participatory ER modeling in practice. We introduce the GARLIC methodology for teaching and learning participatory ER modeling. GARLIC adapts and extends the ONION participatory ER modeling framework of Makovska et al.(HILDA 2025) into a workshop-based learning format that combines role-playing, collaborative synthesis, guided critique, and iterative refinement. GARLIC is designed to develop both technical modeling skills and critical awareness of the social and ethical dimensions of data representation. GARLIC lowers the barrier to participatory ER modeling and equips students with practical skills for collaborative, inclusive data model design. |
| title | Seasoning Data Modeling Education with GARLIC: A Participatory Co-Design Framework |
| topic | Databases |
| url | https://arxiv.org/abs/2602.18274 |