Research on the Path of Improving Intercultural Communication Competence Based on Knowledge Mapping in the Cultivation of Business English Talents in Colleges and Universities
DOI:
https://doi.org/10.70917/ijcisim-2026-0147Keywords:
learner profiling; ant colony algorithm; knowledge mapping; intercultural communicative competenceAbstract
With the increasing development of globalization, intercultural communication in the context of globalization puts forward an urgent demand for intercultural talents. In view of this situation, this paper studies the construction and application of knowledge mapping in the field of business English courses in colleges and universities, and puts forward the method of intercultural communication competence enhancement based on knowledge mapping. First, we model a fine-grained learner portrait from multiple dimensions such as learners' learning styles, knowledge status, and ability information, and construct a knowledge map of the business English course, apply the ant colony algorithm to learning path planning, and use non-uniform initialization of pheromones and the addition of frequent relational sequences to provide effective solutions to the learning path planning problem. In the cross-cultural communicative competence path planning result species, the cross-cultural communicative competence path planning is summarized as the theory of cultural dimensions → cross-cultural communication barriers and coping strategies → cross-cultural applications in business scenarios → cross-cultural business writing and emails → practical exercises. Through empirical analysis with 110 students majoring in Business English in a university as the research object, the teaching based on the method of this paper is significantly better than traditional teaching in improving the emotional and behavioral dimensions of students' intercultural communicative competence. The mean value of intercultural communicative competence of the experimental class was improved by 5.772 points than that of the control class after the experiment.
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Copyright (c) 2026 Ying Yin, Wei Li

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