Java programming is fundamental in computer science and artificial intelligence, yet underprivileged children face significant challenges in learning it. This study addresses two key issues: (1) Java's complexity, which demands high concentration levels challenging for children aged 7–12, and (2) underprivileged children's limited access to coding education resources and support. To address these challenges, we developed interactive system called “HIDO” to enhance attention and engagement in Java learning for underprivileged children. The “HIDO” system based on an understanding of attention network development. It bridges the gap between fun and functionality while utilizing Adaptive Learning Systems by AI to deliver personalized support. Finally, a mixed-methods approach was used to evaluate the “HIDO” prototype. The findings demonstrate that the system effectively improves attention, engagement, and knowledge retention, making complex Java programming concepts more accessible. The integration of interactive elements boosts student motivation and focus, highlighting its potential to bridge educational gaps and enhance Java programming education for young learners in resource-constrained environments.

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Interactive Methods to Enhance Attention in Java Learning for Underprivileged Children: A Case Study from Singapore's Code for All Program

  • Yiyi Wang

摘要

Java programming is fundamental in computer science and artificial intelligence, yet underprivileged children face significant challenges in learning it. This study addresses two key issues: (1) Java's complexity, which demands high concentration levels challenging for children aged 7–12, and (2) underprivileged children's limited access to coding education resources and support. To address these challenges, we developed interactive system called “HIDO” to enhance attention and engagement in Java learning for underprivileged children. The “HIDO” system based on an understanding of attention network development. It bridges the gap between fun and functionality while utilizing Adaptive Learning Systems by AI to deliver personalized support. Finally, a mixed-methods approach was used to evaluate the “HIDO” prototype. The findings demonstrate that the system effectively improves attention, engagement, and knowledge retention, making complex Java programming concepts more accessible. The integration of interactive elements boosts student motivation and focus, highlighting its potential to bridge educational gaps and enhance Java programming education for young learners in resource-constrained environments.