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Effect of Confidence Indicators on Trust in AI-Generated Profiles., , , , and . CHI Extended Abstracts, page 1-8. ACM, (2020)Cognitively appropriate and readily accessible computing education for young learners.. Stanford University, USA, (2022)Giggle gauge: a self-report instrument for evaluating children's engagement with technology., , , and . IDC, page 614-623. ACM, (2020)Visual StoryCoder: A Multimodal Programming Environment for Children's Creation of Stories., , , , and . CHI, page 96:1-96:16. ACM, (2023)StoryCoder: Teaching Computational Thinking Concepts Through Storytelling in a Voice-Guided App for Children., , , , , , and . CHI, page 54:1-54:15. ACM, (2021)Supporting children's math learning with feedback-augmented narrative technology., , , , , , , , , and 4 other author(s). IDC, page 567-580. ACM, (2020)ARtonomous: Introducing Middle School Students to Reinforcement Learning Through Virtual Robotics., , , , , and . IDC, page 430-441. ACM, (2022)Building blocks of computational thinking: Young children's developing capacities for problem decomposition., , and . CogSci, page 1647-1653. cognitivesciencesociety.org, (2019)Theory of AI Mind: How adults and children reason about the "mental states" of conversational AI., , , , and . CogSci, cognitivesciencesociety.org, (2023)Human Perception of Swarm Robot Motion., , , , and . CHI Extended Abstracts, page 2520-2527. ACM, (2017)