SciStory: Designing AI-Supported Inquiry in Science Learning Games
This design case explores how an AI-supported, narrative-centered science learning game (SciStory: Pollinators) was designed over multiple iterations to support middle schoolers’ socioscientific learning, engagement, and persuasive writing. The case highlights how AI-driven conversational agents were designed to support student-led socioscientific inquiry, and the tensions our team explored as we integrated agents into a story game about community food systems, pollinators, and neighborhood land use.
Authors
- Megan Humburg (ORCID: https://orcid.org/0000-0003-0638-7616)
- Zach Ryan
- Krista Glazewski (ORCID: https://orcid.org/0000-0002-3412-4218)
- Dalila Dragnić-Cindrić (ORCID: https://orcid.org/0000-0002-6260-9458)
- Cindy E. Hmelo‐Silver (ORCID: https://orcid.org/0000-0003-2275-5212)
- James C. Lester (ORCID: https://orcid.org/0000-0003-1481-6601)
- Joshua Danish (ORCID: https://orcid.org/0000-0001-5119-5897)
- Yeo Jin Kim
Institutions
- North Carolina State University (US)
- University of Illinois Urbana-Champaign (US)
- Digital Promise (US)
- Indiana University Bloomington (US)
- Indiana University (US)
Publication Details
- Journal
- International Journal of Designs for Learning
- Published
- 2025-12-11
- DOI
- https://doi.org/10.14434/ijdl.v16i2.42049
- Primary Topic
- Innovative Teaching Methodologies in Social Sciences
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation