The effect of engineering students' anthropometric measurements on the performances of the technical drawing course and an application

The feature that distinguishes the technical drawing course from other courses is that this course requires drawing and has a structure that requires three-dimensional thinking. Deciding which factor is more effective on students' academic achievement is expected to eliminate the uncertainties in this area. This study investigated the effect of hand anthropometric, hand kinetic and hand dexterity measurements of the students taking technical drawing course on the exam grades they received. For this purpose, ELECTRE, one of the multi-criteria decision-making methods, and Q-ROF CoCoSo, one of the new fuzzy logic-based approaches, were applied and the effects on the technical drawing skills of the students were investigated. Sensitivity analysis was performed to evaluate the solution found. As a result of the study, the Right Head and Index Finger Strength value was found to be more effective on the exam results with the ELECTRE method, while the Right Index Finger Width value was found to be more effective with the Q-ROF CoCoSo method. Finally; Kruskal-Wallis test and Spearman Correlation Analysis were performed to investigate the level and direction of the relationship between the data. As a result of the correlation analysis, it was seen that the Right Head, Index and Middle Finger strength values had a weak relationship with the exam results. Key Words: Ergonomics, Hand Anthropometry, Hand Dexterity, Multi-Criteria Decision Making