Research on instructor’s teaching styles: Efficiency factors in human - machine interaction training with aircraft simulators for chinese pilots

Abstract

In current training settings, mastering and using English as a language is mandatory for flying aircraft simulators, classroom teaching, and Human-Machine Interaction (HMI) design. Non-native language teaching has a significant influence on the learning efficiency for the Chinese pilot students, especially in HMI. Within this English teaching context, the students tend to be silent and inactive. However, fewer studies focus on teaching. This study focuses on how to improve the English understanding ability from self-efficacy and optimization of HMI. To address this issue, the research team observed six classroom teaching sessions and analyzed data based on LICC paradigm (the Learning, Instruction, Curriculum, and Culture). Furthermore, the study conducted in-depth qualitative interviews with seven instructors and thirty pilot students and conducted a qualitative analysis based on the grounded theory. It found that teaching styles of scenario-based teaching, supportiveness, interactivity, and fairness have a significant impact on learning efficiency. This study helps understand the learning efficiency of Chinese pilot students and has a positive effect on improving flight levels.