心理学
教育学
主动学习(机器学习)
发展心理学
计算机科学
人工智能
作者
Katelyn K. Fletcher,Charlotte Anne Wright,Annelise Pesch,Gavkhar Abdurokhmonova,Kathy Hirsh‐Pasek
标识
DOI:10.1080/17482798.2024.2356956
摘要
Drawing upon Vygotskian and Piagetian learning theories, recent research reveals children's learning can be maximized through a specific Active Playful Learning (APL) approach called guided play. The deepest and most engaging learning happens during guided play. In guided play, adults might prepare an environment and set a learning goal, but children get to direct their own play and exploration towards that goal. Research suggests that guided play fosters math skills, shape knowledge, task switching, spatial vocabulary, literacy, language, social interaction, and physical activity. The intersection of play and the intentionality of having a learning goal holds great potential as a pedagogical approach that can be applied to technology, community spaces, and to classrooms. We describe current directions in: (1) the conceptualization of guided play, (2) areas for implementing this approach in formal and informal education (including television and digital applications, as in the case of Sesame Street), and (3) future opportunities and challenges.
科研通智能强力驱动
Strongly Powered by AbleSci AI