An Automatic Teaching Materials Construction System based on Mashup

Abstract

An Automatic Teaching Materials Construction System based on Mashup is proposed in this paper. The main design concept is to establish a Mashup Data model to obtain the resources on Social Network. Furthermore, using ontology as a rule, the resources are effectively, automatically classified and integrated. The will be able to reduce the digital teaching materials required to spend large amount of manpower, time and other resources in the past by the way. We will finally come to the actual case of C language to explore and analyze the data model. This Automatic Teaching Materials Construction System is expected to achieve an efficient Web-based learning environment.