Diagnostic Study on Intelligent Learning in Network Teaching Based on Big Data Background

Under the big data background, intelligent diagnosis is an important part in artificial intelligence. The main part of intelligent learning diagnosis is to achieve accurate and efficient state of knowledge of learners, and the network teaching system can determine learners’ learning disabilities based on it, and provide further learning content for the learners. The paper gives the diagnostic model and the related method of design and implementation of intelligent network teaching under the background of big data, which can further improve the intelligence of network teaching platform; Leading the technology of big data, cloud computing, machine learning algorithms and intelligent evaluation to intelligent learning diagnosis will not only broaden the research field of intelligent learning diagnosis, but also provide a new method which can improve the network learning performance.