Matching Teaching Content and Strategy of Practical Document Writing and Processing Courses Based on Wisdom Education

Abstract

Writing ability is an important carrier to measure the comprehensive quality of college students, but the current situation of practical document writing and document processing courses in higher vocational colleges is worrying. In terms of school management, managers of higher vocational colleges try their best to meet the teaching and training needs of professional courses, but few managers pay attention to the course of practical writing and document processing. Therefore, in view of this phenomenon, this paper aims to study the matching of teaching contents and strategies of practical document writing and document processing courses under the background of wisdom education. This paper proposes a support vector machine algorithm based on artificial intelligence and a collaborative filtering recommendation algorithm based on cloud computing. Smart education is education informatization, which refers to the process of comprehensively and deeply using modern information technology in the field of education to promote the reform and development of education. Its technical characteristics are digitization, networking, intelligence, and multimedia. The experimental results of this paper show that under the new smart classroom teaching mode, 21 students are very satisfied, accounting for 46.7%, and 12 students are satisfied, accounting for 26.6%. Only 4 students were dissatisfied, representing a percentage of 8.9%. This fully shows that the teaching mode of the new smart classroom is more popular with students and is more conducive to the improvement of students' learning efficiency. Therefore, the research on the background of wisdom is very meaningful.