Tanya Kraljic
Papers
1
Total Citations
2
H-Index
1
About
Tanya Kraljic is an emerging researcher at the intersection of human-computer interaction, artificial intelligence literacy, and child development. Her work focuses on how young users perceive and conceptualize generative AI systems, addressing one of the most timely questions in educational technology: how do children make sense of powerful tools like ChatGPT and DALL-E? In her notable 2024 study, "Children's Mental Models of Generative Visual and Text Based AI Models," Kraljic investigates how children aged 5–12 build cognitive frameworks for understanding both text-based and image-generating AI — a largely uncharted area given the rapid mainstream adoption of these technologies. By illuminating the mental models children form around generative AI, her research provides foundational insights for educators, designers, and policymakers working to develop age-appropriate AI literacy curricula. Though early in her citation trajectory with 2 citations to date, her work addresses a critically underexplored frontier, positioning her as a pioneering voice in child-centered AI research. As generative AI continues reshaping learning environments, Kraljic's scholarship offers essential groundwork for understanding how the next generation conceptualizes and interacts with these transformative tools.
Research Focus
Key Achievements
Top Papers
- 1Children's Mental Models of Generative Visual and Text Based AI Models2 citations · 2024