Design of Hybrid Learning Mode in Higher Vocational Colleges Based on Cloud Platform

Abstract

The rapid development of information technology and its in-depth application in various industries have brought about tremendous changes in people's life and learning methods. Students often arrange time before class to log in to the cloud class platform, and participate in discussions and interactions through learning micro-class videos, animations, courseware, documents, websites and other teaching resources provided by teachers to complete the learning tasks required by the learning task list. This study uses the social statistics software package SPSS22.0 to analyze the questionnaire. The validity analysis uses the principal component analysis method and the maximum variation method orthogonal rotation for confirmatory factor analysis, and forced extraction of four factors. Data shows that 53.1% of learners believe that online learning based on cloud platforms can improved learning Efficiency. The hybrid learning model based on the cloud platform can solve the time wasting problem in traditional classrooms and meet the needs of students' autonomous learning.