Teaching system of smart learning environment for aerobics course

Abstract

In the past, in a digital learning environment, we required multimedia facilities excessively and ignored the individual needs of learners, and the teaching resources existed depending on the equipment. The emergence of smart learning environment can meet people's independent learning, customized learning, smart learning and other requirements. Meanwhile, the "intelligence" of smart learning environment conforms to the teaching features of aerobics and other body-shaping courses, which can cultivate the learners' innovation abilities and further optimize the teaching effect. In this paper, on the basis of the theory construction of smart learning environment, we designed a teaching system of smart learning environment for the university course - Aerobics, based on the Fuzzy Cognitive Map (FCM), conducted the application practice of the smart learning environment in the teaching by the controlled experiment method, analyzed the difference of teaching effect in and out of a smart learning environment, and finally drew a conclusion, in order to provide some theoretical and data support for the application of smart learning environment in the teaching of physical education (PE) majors and other university education.