Immersive Learning Method of Ideological and Political Education under Big Data and Artificial Intelligence

Abstract

The study aims to explore the influence of big data on college students’ learning methods of ideological and political education (IPE) under artificial intelligence. First, the characteristics of big data are analyzed. Second, big data is introduced into IPE’s classroom teaching, and its influence on students’ learning methods is discussed. Finally, the questionnaire is designed to investigate students’ learning attitudes and teachers’ effectiveness. The results show that the scores of the students are poor, and the traditional teaching method should be updated to improve the teaching quality of IPE. Motivating students’ enthusiasm and updating the teaching content are the main tasks to improve students’ learning effect on IPE. College students who receive IPE based on big data have better academic performance and a positive learning attitude, and each factor is more significant than 0.05. It is concluded that big data has a considerable impact on IPE. It can promote students’ mastery of the knowledge and improve their learning efficiency.

Research and Exploration of Ideological and Political Education in the Course of Pathophysiology

“…The goal of ideological and political education (IPE) in universities and colleges is to continuously improve the ideological cultivation, political literacy, and moral cultivation of the students. IPE also aims to guide higher education students to establish a correct outlook on life, values, and the world [1]. However, there are certain distinct features of ideological and political teaching due to its strong theoretical nature.…”

Retracted: Immersive Learning Method of Ideological and Political Education under Big Data and Artificial Intelligence

“…Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [ 1 ]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process: Discrepancies in scope Discrepancies in the description of the research reported Discrepancies between the availability of data and the research described Inappropriate citations Incoherent, meaningless and/or irrelevant content included in the article Peer-review manipulation …”