Widespread digital learning has expanded access to education but has resulted in highly sedentary, click-based interaction, contributing to digital fatigue, reduced cognitive flexibility, and health risks associated with prolonged passive screen time. Meanwhile, data literacy has become an essential competency in a data-driven society, yet it is typically taught through passive, disembodied interfaces that offer little physical engagement. We present Kinetiq (Kinetic+IQ), a novel system that integrates fun, full-body micro-movements directly into data and numeracy problem solving. Instead of selecting answers with a mouse, learners interact through natural gestures such as reaching, dodging, heading, elbowing, or knee-raising, thus turning abstract data problem-solving into embodied experiences that integrate thinking with movement. In a preliminary within-subjects study comparing Kinetiq with conventional platforms, participants reported significantly higher affective valence, enjoyment, engagement, and motivation, while maintaining comparable learning gains. We contribute: (1) a task-integrated movement paradigm for data learning, (2) a cross-platform web and mobile app system enabling full-body learning in constrained everyday spaces, and (3) preliminary empirical evidence that embodied micro-movements can enrich the affective experience of data literacy learning.

翻译：大规模数字化学习拓展了教育可及性，却导致高度久坐化的点击式交互，引发数字疲劳、认知灵活性下降及长期被动屏幕时间相关的健康风险。同时，数据素养已成为数据驱动社会中的核心能力，却通常通过被动、无具身化的界面进行教学，缺乏身体参与。我们提出Kinetiq（Kinetic+IQ）系统，该创新系统将趣味性全身微运动直接融入数据与数理问题解决过程。学习者无需通过鼠标选择答案，而是通过自然手势（如伸展、闪避、顶球、肘击或抬膝）进行交互，将抽象数据问题解决转化为整合思维与运动的具身体验。在初步的受试者内实验比较Kinetiq与传统平台时，参与者的情感效价、愉悦感、参与度及动机显著提升，同时保持了相当的学习效果。我们的贡献包括：（1）面向数据学习的任务集成运动范式，（2）支持受限日常空间中全身学习的跨平台网页与移动应用系统，（3）具身微运动可丰富数据素养学习情感体验的初步实证证据。