The Relationship Between Students' Digital Competency Skills and Adaptation to Industry 4.0 Learning Technologies

Abstract

This study delves into a novel and crucial area of research, exploring the impact of digital competency skills on Universiti Teknologi Malaysia (UTM) students' adaptation to the Fourth Industrial Revolution (IR 4.0) learning technologies. IR 4.0 is characterized by rapid technological developments that require individual adaptability and flexibility skills. Industry 4.0 (IR 4.0) learning technology uses advanced technologies such as artificial intelligence, machine learning, robotics and the Internet of Things (IoT) in education. As such, students must acquire these skills to prepare for the future workforce. Hence, this study was conducted to measure the impact of students’ digital competency skills on adapting to IR 4.0 learning technology. Data was collected from undergraduate students in the Management, Science, and Computing faculties using a quantitative approach — the research employed methods of descriptive analysis, correlation and multiple regression. Findings indicate varying levels of influence among digital competency skills, with safety and problem-solving skills exhibiting the highest impact. A significant positive correlation is established between these skills and students' adaptation to IR 4.0 technologies. Information and data literacy emerges as the most influential skill. Multiple regression analysis underscores the significance of information and data literacy in predicting students' adaptation. The study contributes valuable insights for institutions aiming to enhance students' readiness for the evolving landscape of IR 4.0 learning technologies.