Evaluating the learning performances for CNC machine practice in mechanical engineering degree courses based on students' mental workload.

This article evaluates the impact of traditional versus combined simulation training methods on students' mental workload (MWL) during CNC (Computer Numerical Control) machining courses in mechanical engineering programs. Using both subjective assessments via the NASA Task Load Index (NASA-TLX) and objective physiological measures through the increasing ratio of heart rate (IRH), the study found that students receiving simulation-based training exhibited significantly lower MWL and heart rate increases compared to those trained traditionally. The results indicate a significant correlation between IRH and NASA-TLX scores, suggesting that simulation training effectively reduces cognitive demands and frustration, thereby enhancing learning performance. The study highlights the potential of integrating simulation software with hands-on practice to improve technical education efficiency and recommends careful evaluation of physiological measures like IRH for assessing MWL in vocational training contexts.