LEVERAGING ARTIFICIAL INTELLIGENCE TO ENHANCE STUDENTS’ RESEARCH EFFECTIVENESS: A CASE STUDY OF ELECTRICAL AND ELECTRONIC ENGINEERING STUDENTS AT NUTE

Abstract

In the digital era, Artificial Intelligence (AI) has become a pivotal driver in fostering critical thinking and problem-solving capabilities among engineering students. This study examines the current landscape and inherent barriers to scientific research faced by Electrical and Electronic Engineering students at Nam Dinh University of Technology and Education (NUTE). By leveraging empirical surveys and a comprehensive literature review, the research highlights the transformative role of AI in optimizing academic performance. Accordingly, the authors propose strategic AI-driven frameworks to assist students in three key areas: (i) automated data processing and technical design simulation, (ii) refinement of scientific writing and reporting skills, and (iii) optimization of the research lifecycle. The findings offer practical implications for educational management, providing a roadmap for the university to promote effective and ethical AI adoption. These interventions are expected to elevate research quality and catalyze the development of an innovative academic ecosystem within the institution.