Innovation of Computer-assisted Instruction Mode of News Dissemination Course Based on Improved Collaborative Filtering Algorithm

Computer-assisted instruction (CAI) refers to the proper selection and full and reasonable use of computer media for teaching assistance under the normal teaching mode, so as to achieve good teaching results. With the increasing quantity of online users and courses, the course suggestion system exposes some problems such as diverse user characteristics, complex student interests and preferences, and changeable user behaviors, which reduces the accuracy of the suggestion algorithm. This article proposes a individualized model of news dissemination course resources based on improved collaborative filtering (CF) algorithm. This model transforms student's interest behavior into student's interest keyword score, and changes in student's interest into changes in student's interest keyword score, so as to establish and update the student's interest model. The improved CF recommendation model can recommend course resources for students in a individualized and customized way, and can effectively enhance students' learning interest. On the basis of improving the sparsity and timeliness of data, the improved algorithm can improve the accuracy of course suggestion and satisfy users. © 2024 U-turn Press LLC.