Abstract: Learning analysis aims to fully exploit the meaning behind learner behavior data, and its data source is very critical. This study combines the embodied cognition theory and the cross-domain competition model, based on the initial research results of the attention card, the classroom learner sitting posture as the intermediate variable of measure attention. Using 51 MCU, GY25 angle sensor, 2.4G wireless, WIFI, STM32 MCU, combined with the “Master-Slave” multi-machine communication principle to complete the attention card hardware development. OneNet cloud platform as the data storage platform. Then, carried out the attention card test experiment in the middle school classroom. By calculating the effective data rate of the experimental wireless communication, proved the “Master-Slave” multi-machine communication scheme can be adopted in the middle school classroom. Attention card data is highly related to the attention data of the classroom recording video by teacher code.