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 from a social network. Further, using ontology as a category structure, the resources are effectively, automatically classified and integrated. The labor and time needed for making the digital teaching materials are therefore reduced. We finally come to the actual case of C language to explore and analyze the data model. Following the experiment, the automatic teaching materials construction system actually provides the desired teaching materials for learners.