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NLP META MODEL TO ENHANCE SOFT COMMUNICATION SKILLS IN MOBILE LEGENDS Mhd Agri Amri; Muhammad Abiyyu De Rossi; Rita Hartati
International Journal Of Humanities, Social Sciences And Business (INJOSS) Vol. 4 No. 3 (2025): SEPTEMBER
Publisher : ADISAM Publisher

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Abstract

This study explores the application of the Neuro-Linguistic Programming (NLP) Meta Model to enhance soft communication skills in the context of online gaming, specifically Mobile Legends: Bang Bang. Miscommunication, toxic language, and ineffective collaboration are common issues among players in this competitive multiplayer game. By applying the NLP Meta Model—focusing on linguistic patterns of deletion, distortion, and generalization—this research aims to analyze and improve player interactions. Using a qualitative method involving interviews, observations, and conversation analysis, the study demonstrates how targeted questioning techniques can clarify ambiguous language, promote empathetic responses, and foster constructive dialogue. Findings suggest that the NLP Meta Model can significantly contribute to more effective and respectful communication in digital gaming environments, enhancing teamwork and reducing conflict..
Development of An Artificial Intelligence-Based Digital Platform: Enhancing Intercultural Communication Among University Students Muhammad Abiyyu De Rossi; Mhd Agri Amri; Rita Hartati; Nadia Kumari; Juniar Elfrida Sihotang; Azzahrah Andrianti
Tamaddun Life Vol 25 No 1 (2026): June
Publisher : Fakultas Sastra - Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/tamaddun.v25i1.1365

Abstract

Artificial Intelligence (AI) is increasingly used to support communication and learning in culturally diverse higher-education environments. This study examined the potential of an AI-based digital platform to enhance university students’ intercultural communication competence and explored their perceptions of the platform. A quantitative pre-experimental design employing a one-group pre-test–post-test model was used with 50 undergraduate students from diverse cultural, linguistic, and regional backgrounds. Intercultural communication competence was measured before and after the AI-supported learning intervention across seven dimensions: cultural awareness, cultural empathy, respect for cultural diversity, cross-cultural communication confidence, communication adaptability, appropriate language use across cultures, and conflict management in intercultural contexts. A post-intervention questionnaire was also administered to assess students’ perceptions of the platform. Descriptive analysis showed that the overall mean intercultural communication competence score increased from 3.13 in the pre-test to 4.44 in the post-test. Post-test scores improved across all seven dimensions, with respect for cultural diversity obtaining the highest mean score (M = 4.58), while conflict management recorded the lowest post-test mean (M = 4.33). Students also reported highly positive perceptions of the platform, with an overall mean of 4.58. The findings indicate that AI-supported learning may facilitate cultural awareness, communication adaptability, culturally appropriate language use, confidence, and intercultural reflection. The study highlights the pedagogical potential of AI as a reflective communication-support tool while emphasizing that human judgment, cultural sensitivity, and critical AI literacy should remain central to intercultural learning.