融合眼动追踪技术与人工智能监测的幼小衔接儿童专注力提升课程探索

Exploration of a Course to Improve Attention in Early Childhood Transition Incorporating Eye-Tracking and Artificial Intelligence

摘要: 在幼小衔接阶段，儿童专注力的发展对其后续学习具有基础性作用。然而现有专注力训练课程普遍存在体系碎片化、技术融合不足等问题，传统教学手段对注意力分散行为的干预效果有限。针对上述困境，研究尝试将眼动追踪与人工智能技术引入专注力提升课程设计，构建一套面向幼小衔接阶段的技术驱动型教学方案。通过对课程目标、内容组织、实施流程及评价方式的整体规划，形成可操作的技术融合课程模式。实践中，眼动数据用于实时监测儿童的注意状态，人工智能算法则根据个体差异动态调整教学策略。该课程的实施，旨在探索智能技术提升儿童专注力水平的可行路径，促进其在入学准备期的认知发展，并为同类课程的开发提供参考。

Abstract: At the stage of transitioning from preschool to primary school, the development of children’s attention plays a foundational role in their subsequent learning. However, existing attention training courses generally face problems such as fragmented systems and insufficient integration of technology, and traditional teaching methods have limited effectiveness in intervening in attention-distracting behaviors. To address these challenges, this study attempts to introduce eye-tracking and artificial intelligence technologies into the design of attention improvement courses, constructing a technology-driven teaching program for the preschool-to-primary school transition stage. Through overall planning of course objectives, content organization, implementation processes, and evaluation methods, an operable technology-integrated course model is formed. In practice, eye-tracking data is used to monitor children’s attention in real time, and artificial intelligence algorithms dynamically adjust teaching strategies according to individual differences. The implementation of this course aims to explore feasible ways for intelligent technologies to enhance children’s attention levels, promote their cognitive development during the school readiness period, and provide a reference for the development of similar courses.