2018/07/17 by Yue Yu, Patrick Shafto, Elizabeth Bonawitz +5 · 1 voice · 1 citation
Psychology · Computer Science · #Innovative Teaching and Learning Methods #Child and Animal Learning Development #Teaching and Learning Programming
paper · pdf · doi:10.3389/fpsyg.2018.01152
openalex publication_date 2018/07/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01
For infants and young children, learning takes place all the time and everywhere. How children learn best both in and out of school has been a long-standing topic of debate in education, cognitive development, and cognitive science. Recently, guided play has been proposed as an integrative approach for thinking about learning as a child-led, adult-assisted playful activity. The interactive and dynamic nature of guided play presents theoretical and methodological challenges and opportunities. Drawing upon research from multiple disciplines, we discuss the integration of cutting-edge computational modeling and data science tools to address some of these challenges, and highlight avenues towards an empirically grounded, computationally precise and ecologically valid framework of guided play.