Abstract: Individualized intelligent teaching is essential to the future higher education. With the rapid development of intelligent teaching platforms and online courses and learning path and learning resources becoming more and more diversified, the data of students’ learning behavior can be captured and recorded in a more convenient, timely and accurate manner, which provides a new opportunity for individualized teaching. In order to realize individualized intelligent teaching for a specific course, a novel teaching mode is proposed based on learning behavior analysis and “Principles of Communications” course is taken as an example to explore and practice this mode. According to the learning behavior data obtained from intelligent teaching platforms, such as rain classroom and xuetangx, teaching arrangement is adjusted and different materials are recommended to different students. The results of two experimental cases show the effectiveness of the proposed individualized intelligent teaching mode. This method can also be applied to other courses with similar characteristics in course property and students.

Key words: intelligent teaching, learning behavior analysis, individualized teaching, learning content recommendation, SPOC, flipped classroom