Material selection system of literature and art multimedia courseware based on data analysis algorithm

Abstract

Multimedia teaching is a comprehensive teaching platform that integrates text, images, video, sound, animation, hyperlinks and other teaching methods, and plays an important role in teaching. This article mainly discussed the classification of courseware materials on the basis of data analysis and introduced the selection method of multimedia courseware materials. Data mining is one of the most commonly used classification methods in data analysis. In this article, the classification of material types was carried out based on the decision tree classification algorithm. This article took three middle schools in Z city as the research objects and objectively analyzed the application of multimedia courseware in literature and art courses. Through the questionnaire survey of teachers, it was found that 62.50% of the teachers chose “text-based, highlighting the key and difficult points of teaching.” Through the student questionnaires, it was found that there were differences in the students’ preference for materials. The most were animation and video, accounting for 59.00%; the least was text, accounting for 14.00%. This showed that students were more inclined to choose more intuitive and interesting content.

Keywords

• multimedia courseware materials
• data analysis
• data mining
• decision tree
• data analysis algorithm