Under the background of big data - investigation and research on the learning effect of college students' dual-track system

Abstract

The pneumonia epidemic caused by the new coronavirus is spreading around the world, and the national epidemic situation is complicated and severe. At the same time, in order to implement the guidance of the Ministry of Education during the period of prevention and control of the new coronavirus epidemic, "suspend classes without teaching, and without stopping learning". Computer technology has played a huge role in the absence of on-site and offline surveys. Our group generated electronic questionnaires through computer technology, successfully digitized paper surveys, and adopted rigorous survey methods. Through Sina Weibo, WeChat, Tencent QQ Share and complete the questionnaire with the students, strictly review the IP address, and eliminate the invalid answer sheet, there are 600 valid questionnaires in total. Finally, the computer data analysis software-spss is used to clean and analyze the data, and finally obtain the analysis results of the sample data, and also ensure the authenticity of the survey results. Prior to this, we adopted an exact proportion of single and double selection questions and subjective question types. Through comparative analysis and cross-analysis, the interference of huge data on the later survey results was greatly reduced, and the accuracy of the survey was ensured. Based on this, it is believed that the online teaching platform should establish a rich knowledge database to provide students with some resources outside the classroom, which can mobilize students' interest in learning, and at the same time, it should have a more complete evaluation system, so as not to increase students' inertia. Furthermore, since it is an efficient and fast teaching method, it should not be used by some people, but more or all teachers should be familiar with and adapt to this teaching mode as soon as possible.