Effective Ways to Cultivate the Autonomous Learning Ability of Minority College Students under the Network Big Data Environment

Abstract

Abstract The era of big data provides convenience for college students to study independently. College teachers can make use of the relevant characteristics of big data to improve teaching methods, enrich teaching content and guide the independent learning of college students with scientific teaching evaluation, and explore the cultivation mode of college students’ independent learning ability. Big data in order to better research network environment of ethnic minorities is effective way to cultivate college students’ autonomous learning ability, this study in a university of ethnic minority college students as the research object, through a combination of big data technology to improve the way of the network teaching, through questionnaire as tools, supplemented by semistructured interview, investigation of ethnic minority college students’ autonomous learning ability, from the autonomous learning ability, independent learning behavior, autonomous learning psychology discusses three dimensions of ethnic minority college students’ autonomous learning situation, and discusses how to develop ethnic minority college students’ autonomous learning ability, according to the results, After combining big data teaching, the attendance rate increased by 21.7%.