Authors : U. Yamuna

Volume/Issue : Volume 11 - 2026, Issue 7 - July

Google Scholar : https://tinyurl.com/44r4yjs6

Scribd : https://tinyurl.com/4ecw77yz

DOI : https://doi.org/10.38124/ijisrt/26jul073

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Engineering graduates require excellent communication skills to complement their technical competence and succeed in today's global workplace. Despite possessing strong technical knowledge, many engineering students face challenges in oral communication, presentation skills, teamwork, and professional interaction. Conventional classroom methods often fail to provide individualized practice opportunities and continuous feedback. This paper proposes an adaptive artificial intelligence - powered educational game framework designed to enhance communication skills through personalized learning pathways, gamification, and intelligent feedback mechanisms. The proposed framework dynamically adjusts learning activities according to students' proficiency levels by analyzing performance indicators such as pronunciation, fluency, vocabulary usage, grammatical accuracy, and confidence. The educational games incorporate roleplay simulations, collaborative problem-solving, presentation challenges, and scenario-based communication tasks that reflect authentic engineering contexts. A mixed-method research design is proposed to evaluate the effectiveness of the framework through quantitative assessments and qualitative learner feedback. The findings indicate that adaptive AIsupported games can improve learner engagement, motivation, speaking confidence, and communication performance. The study contributes to AI-assisted language learning by presenting an innovative model that integrates adaptive learning with educational gamification for engineering education.

Keywords : Adaptive learning, Artificial Intelligence, Educational Games, Communication Skills, Engineering Education, Gamification, Personalized Learning.

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