CULTIVATING LIFELONG LEARNING IN AI ENGINEERING: AN EXPERIENTIAL APPROACH THROUGH THE 'ARTICLE REVIEW' MODULE

This paper details the 'Article Review' module, crafted for graduating AI engineering students to immerse themselves in and critically evaluate contemporary AI research literature. This module integrates several key CDIO standards, specifically focusing on integrated curriculum design (Standard 3), introduction to cutting-edge engineering challenges (Standard 2), and the promotion of active and self-directed learning (Standards 8 and 11), thereby developing a foundation for lifelong learning. The module employs diverse pedagogical approaches, incorporating rigorous critical reading, analytical writing, and persuasive oral presentation components. This trifold methodology ensures a comprehensive immersion into AI engineering research. Initial quantitative and qualitative evaluations from students indicate a marked improvement in their ability to critically analyze research papers, with a significant portion reporting enhanced interest in AI research. This communication aims to dissect the module's design intricacies, its operational dynamics in an academic setting, and its palpable impact on student learning outcomes. Furthermore, preliminary success indicators suggest that this module's framework could serve as a prototype for adaptation and implementation across various engineering disciplines, offering a viable model for how engineering education can integrate lifelong learning competencies.