Aiming at the challenges of mobile learning in the current big data environment and the current research status of teaching intelligent services(TIS), the article first explores the construction of mobile learning in the teaching intelligent service system(TISS) of colleges and universi-ties(C&U) from a big data driven perspective; secondly, the business process of mobile learning for support and guidance, big-data-driven mobile learning intelligent service framework system is constructed, which mainly includes three levels: infrastructure layer, data resource layer, and service application layer. The functions and characteristics of each layers are discussed in detail. Use big data to analyze the application status of mobile learning in college education from three aspects: overall development, resource construction, and utilization. It is proposed to increase courseware resources, reform teaching models, and use big data analysis to improve the level of teaching management continuously comments and suggestions. Re-searchers believe that the system can integrate mobile learning infrastructure, data resources, service applications and students, reconstruct the business process of mobile learning intelli-gent services, provide decision support for mobile learning services, and at the same time, it can improve learning capabilities and provide personalized the service realizes teaching students by their aptitude.