Enhancing Personalised Learning Through Smart Education: A Catalyst for Workforce Development in Smart Cities

This study investigates the impact of personalized learning pathways, facilitated by smart education technologies, on the learning outcomes and engagement of master’s degree students in an HTML course. Utilizing a comparative experimental design with 60 students split into two groups (experimental and control), the research assesses the effectiveness of personalized learning in enhancing educational outcomes. Methodologies include pre- and post-course assessments, engagement metrics via learning management system (LMS) logs, and student satisfaction surveys. Findings indicate significantly higher learning outcomes and engagement levels in the experimental group compared to the control, supported by statistical analyses including t-tests, correlation, and regression, alongside Shapiro-Wilk tests for data normality. The study highlights the critical role of smart education technologies in improving student engagement and learning outcomes through personalized learning pathways. It emphasizes the need for higher education institutions to adopt such approaches, fostering a workforce well-prepared for the digital age. Future research should expand sample sizes and explore diverse educational settings to generalize these findings further.