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Enhancing intercultural competence in technical higher education through AI-driven frameworks.
Qi Zhang1, Mohammad Ismath Ramzy Mohammad Ismail2, Abd Razak Bin Zakaria3
1Department of Educational Foundations and Humanities, Faulty of Education, Universiti Malaya, Kuala Lumpur, 50603, Malaysia. s2125557@siswa.um.edu.my.
Scientific Reports
|July 2, 2025
Summary
This study introduces an AI-driven framework to assess Intercultural Competence (IC) in higher education. Findings reveal strong correlations between IC components and English language skills, highlighting effective teaching strategies.
Area of Science:
- Education
- Artificial Intelligence
- Cross-Cultural Studies
Background:
- Intercultural Competence (IC) is crucial for professional development in higher education.
- Current challenges exist in teaching abroad due to insufficient focus on intercultural communicative competence.
- Existing assessment methods may not fully capture the nuances of IC.
Purpose of the Study:
- To develop an AI-based assessment framework for Intercultural Competence (IC) in higher education.
- To identify effective teaching strategies for enhancing cultural knowledge using AI.
- To segment students based on IC profiles for targeted educational interventions.
Main Methods:
- Utilized AI approaches including the Apriori algorithm, fuzzy logic, Sim Rank, and MK means for IC assessment.
- Applied fuzzy logic to quantify qualitative perceptions for subjective assessment.
- Employed Sim Rank and MK means for student performance analysis and segmentation based on IC profiles.
Main Results:
- A significant relationship was found between overall IC and its components: attitude, knowledge, skill, and consciousness.
- Knowledge (0.972) and Skill A (0.885) showed the strongest correlations with overall IC.
- A positive association exists between cross-cultural factors and English language ability.
Conclusions:
- The developed fuzzy assessment model effectively evaluates college students' Intercultural Competence (IC).
- AI-driven assessment provides a robust method for understanding and improving IC.
- Developing IC and English language proficiency have a reciprocal, positive relationship.
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