A Systematic Study of Intercultural Listening Strategies in Higher Education Institutions in the Context of Big Data

Abstract

Abstract As society keeps moving forward, intercultural listening strategy is the way to promote international communication skills, and big data technology is needed to provide technical support for intercultural listening strategy in higher education institutions. In this paper, based on the logistic regression algorithm in the context of big data, an intercultural listening strategy model for higher education institutions is established, and the performance of the model is tested in a ten-fold cross-validation experiment, and four indicators are proposed in the intercultural listening strategy model to verify the effectiveness of the model. From the data, the average precision, average recall, average -value, and average -value of the ten sets of test data of the logistic regression model based on big data technology was 77.26%, 77.81%, 77.93%, and 77.56%, respectively, which indicated that all the indicators of the model met the expected performance requirements. From the four example indicators, the mean values of intercultural cognition, intercultural attitude, intercultural behavioral orientation, and listening ability were 58.2%, 60%, 60.61%, and 61.49%, respectively, and overall the higher education institutions had a clear understanding of intercultural listening strategies. The logistic regression model based on big data technology can well analyze the good and bad of current intercultural listening strategies in higher education institutions, and based on the analysis results, we can better improve the deficiencies and then promote the update of intercultural listening strategies in higher education institutions so that students in higher education institutions can show their confidence in the process of international communication and improve their intercultural communication skills.