Abstract:

MOOC learning, a new form of education in the information era, breaks through the spacetime limits and the boundary of schools, and promotes sharing of high quality study resources among universities. In the developing process of MOOCs, massive online learning data have been collected, and analyzing these data can provide support for research on MOOC. Combining qualitative and quantitative methods, data science and theory of education,  statistics and network science, we analyze learning behavior patterns, measure the effectiveness of learning behaviors, establish an effectiveness evaluation model for MOOCs, and explore customized teaching methods. Our data-driven methods have a practical significance for  the national project of constructing excellent online courses, and help to improve “Internet+Education” quality.

Key words: MOOC, learning behavior analysis；Internet+Education