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

Abstract

This study evaluates the performance of learning CNC machining in mechanical engineering degree programs by assessing students’ mental workload (MWL). Both subjective (NASA-Task Load Index) and objective (increasing ratio of heart rate, IRH) evaluation methods were employed to assess the MWL of 46 students randomly assigned to two groups: a traditional training group and a combined simulation training group. The results demonstrate the significant impact of the training method on students’ MWL. Specifically, the MWL and IHR values of the combined simulation training group were 54.3 and 9.2, respectively, while those of the traditional training group were 58.3 and 13.2. Additionally, the correlation analysis showed a significant correlation between the IHR value and the MWL score of NASA-TLX. These findings suggest that implementing simulated software and the combined simulation training method effectively reduces students’ MWL, thereby promoting active knowledge acquisition. Consequently, students’ MWL can be utilized to evaluate the effectiveness of technical education with the aim of enhancing training efficiency and quality.

Effectiveness of Distance Learning Computer Numerical Control Based on Virtual Laboratory Using a Metaverse Platform to Improve Students’ Cognitive Ability and Practice Skills

“…This research focuses on cognitive and practical abilities that offer an alternative perspective for addressing the challenges learners face in problem-solving and assessing their learning difficulties. The findings of this study on the effectiveness of virtual laboratory learning in enhancing student learning outcomes in the cognitive abilities of computer numerical control courses [53]. This is because the development of VR technology trends provides opportunities for the use of virtual distance learning.…”