Now showing items 28-29 of 29

    • Empowering Learners with a Low-Barrier Mobile Data Science Toolkit 

      Elhashemy, Hanya; Parks, Robert; Kim, David YJ; Patton, Evan; Abelson, Harold (Carnegie Mellon University ETC Press, 2024-10)
      This paper introduces a novel data science toolkit designed specifically for children, enabling them to create mobile apps integrated with data science capabilities. The toolkit showcases new features that simplify the ...
    • Exploring Prompt Engineering for Generative AI-Based App Generation 

      Shone, Jasmin L.; Liu, Robin; Patton, Evan; Kim, David YJ (Acta Scientific, 2023-04)
      We introduce a cutting-edge learning platform powered by large language models that enables students to effortlessly generate mobile applications for smartphones and tablets from natural language descriptions. We further ...