Authors - Wannakorn Phornprasert, Papimon Novichai, Thapanapong Sararat, Wongpanya S. Nuankaew, Pratya Nuankaew Abstract - This investigation aimed to analyze the VARK learning style and ergonomic data to identify the risk of office syndrome among university students. A quantitative, cross-sectional approach was employed, utilizing questionnaire data from 40 students. The analysis used descriptive statistics to summarize general characteristics, learning styles, and risk levels, and diagnostic analyses to identify factors associated with office syndrome risk. The most prevalent learning styles identified were Read/Write (30.0%) and Kinesthetic (25.0%). Ergonomic assessments revealed that 42.5% of students were at high risk, while 35.0% were at moderate risk. Factors correlated with risk included excessive phone usage (exceeding 4 hours per day), inappropriate chair height, unsuitable armrests, incorrect screen positioning, and improper keyboard posture. These findings indicate that combining learning preferences with ergonomic data can serve as an initial screening tool for risk assessment and facilitate the development of learning environments tailored to students in the digital era.