Bradford Mott, Jessica Vandenberg, Carlos Penilla, Sean Hennigan, Renee Navarro, James Lester, Elizabeth Ozer
{"title":"Designing a Narrative-Centered Game to Promote AI Literacy and Health Career Exploration.","authors":"Bradford Mott, Jessica Vandenberg, Carlos Penilla, Sean Hennigan, Renee Navarro, James Lester, Elizabeth Ozer","doi":"10.1109/cog64752.2025.11114233","DOIUrl":"10.1109/cog64752.2025.11114233","url":null,"abstract":"<p><p>As artificial intelligence (AI) continues to transform industries across society, it is having a profound impact on healthcare and biomedical research. To prepare students for this evolving landscape, there is a growing need for learning experiences that build foundational AI literacy and connect to real-world career pathways. However, most middle school students lack access to engaging and personally meaningful opportunities in AI education and career exploration. NarrativeCentered Learning (NCL) offers powerful affordances for contextualizing AI literacy through engaging storylines and role-based problem-solving. In parallel, Social Cognitive Career Theory (SCCT) emphasizes how students' beliefs about their abilities, expectations about outcomes, and personal goals influence the development of their academic and career trajectories. This paper introduces a design framework that integrates NCL and SCCT to foster both AI literacy and health-related career interest. We apply this framework to the design of a narrative game in which students take on the role of a medical intern investigating virtual patient cases using AI tools. We report findings from a usability study with 25 middle school students who played the game's first episode and participated in structured focus groups. Student feedback suggests that the game supported engagement, sparked curiosity, and encouraged emerging career interest. These findings offer preliminary support for the framework and inform the design of career-connected AI learning.</p>","PeriodicalId":524171,"journal":{"name":"IEEE Conference on Computational Intelligence and Games : [proceedings]. IEEE Conference on Computational Intelligence and Games","volume":"2025 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13502086/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148815442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bradford Mott, Jessica Vandenberg, Carlos Penilla, Sean Hennigan, James Lester, Elizabeth Ozer
{"title":"AI4Health: A Narrative-Centered Educational Game for AI-Infused Biomedical Career Exploration.","authors":"Bradford Mott, Jessica Vandenberg, Carlos Penilla, Sean Hennigan, James Lester, Elizabeth Ozer","doi":"10.1109/cog64752.2025.11114206","DOIUrl":"10.1109/cog64752.2025.11114206","url":null,"abstract":"<p><p>As AI becomes increasingly central to healthcare and biomedical research, there is a growing need for tools that introduce students to AI in engaging, authentic contexts. This paper presents AI4Health, a narrative-centered educational game that places middle school students in the role of a medical intern investigating real-world health mysteries. In the game's first episode, players gather evidence, interview characters, and use machine learning models with different training data and performance characteristics. Through branching dialogue and contextual problem-solving, players explore the impact of training data on model reliability and consider the ethical implications of AI-assisted diagnosis. This paper showcases the core mechanics, dialogue system, and interactive narrative structure that support AI literacy and health career exploration, and highlights plans to extend the game through additional biomedical scenarios and classroom integration.</p>","PeriodicalId":524171,"journal":{"name":"IEEE Conference on Computational Intelligence and Games : [proceedings]. IEEE Conference on Computational Intelligence and Games","volume":"2025 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13502085/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148815391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}