Research and Exploration on Teaching C-Language Programming Based on Big Data Background

Based on the background of the big data era, personalised adaptive learning has become the new normal of digital learning. The change of learners' access to learning resources from "learner-initiated search" to "learning system automatically providing learners with personalised learning resources" is the inherent requirement of personalised and adaptive learning. The development and application of educational big data provide scientific basis for the realisation of personalised and precise learning support services. Learning resource recommendation, as an important application direction of personalised adaptive learning system, was initially used to solve the problems of "information overload" and "information disorientation" caused by massive learning resources. In recent years, C programming, which is popular both at home and abroad, is a basic course for computer majors and related majors, a prerequisite course for other computer courses such as data structure and Java programming, and also a foundation for indepth study of programming. Therefore, improving the teaching quality of C language is crucial to cultivate the computer skills of college students. However, on the one hand, due to the complexity of C language concepts, rules and flexible use, it is difficult for students to master every knowledge point taught by the teacher in 45 minutes under the traditional classroom teaching environment. However, the small amount of data analysed by the traditional learning resources recommendation system and the lack of learning resources recommendation algorithm design have become the main reasons hindering the improvement of learning resources recommendation effect. Aiming at the above problems, this paper makes use of educational big data to mine, store, analyse and apply the data generated by each learner in a more scientific and comprehensive way. Based on the research background of big data, this paper researches and explores the teaching and learning of computers, and contributes a certain theoretical research foundation for the combination of the teaching field and the background of big data.