The big data environment has posed new challenges for university education governance, such as the continuous integration of information technology and higher education, the openness of teaching content, the complexity of teachers’ roles,the individualization and flexibility of learning forms, the diversification and denseness of educational data, etc. These factors have put forward new requirements for the analysis of learning conditions and the evaluation of teaching quality. Effective combination of learning situation analysis and teaching quality evaluation can construct a multi-dimensional, intellectualized,personalized and data-based model of learning situation analysis and teaching quality evaluation system under large data environment, which can be divided into three levels: feature data extraction level, learning situation analysis mechanism level and strategy adjustment feedback level. It can promote teaching reform, effectively improve teaching level and enhance learning, and strengthen school core competitiveness.
The Guide of Science & Education
learning situation analysis