Design and Implementation of Personalized Teaching System for Online Learning
Qi Chen, Xiaomei Yu, Qian Chu, Shuang Ma · 2019
With the development and popularization of the Internet and multimedia technology, online learning has become a trend in education. Based on the analysis of the current situation of personalized teaching in present education platforms, we found that online learning, as an independent learning method, has some disadvantages. For example, with insufficient learning environment provided, learning enthusiasm is poor and some students would not participate in courses actively. In this paper, we design and implement a personalized teaching system for online learning, which is suitable for blended learning. In online learning, personalized courses are recommended according to each student's interests and needs. Moreover, discussion areas are set up for communication among teachers and students. In the personalized teaching system, the students' learning status and activity levels are recorded, along with the questions raised in the discussion area. Finally, the system is applied in the course of python programming and the experimental results show that the personalized teaching is achieved and diversified assessment can be realized.