Machine learning approach to air traffic control skill based on mastery theory of aerodrome control procedures, self-concept and practice drills

Abstract

The objectives of the research were to discover the correlation of mastery theory of aerodrome control procedures toward the skill of air traffic control, self-concept toward the skill of air traffic control, frequency of drills toward the skill of air traffic control and correlation of mastery theory of aerodrome control procedures, self-concept and frequency of drills toward the skill of air traffic control. The population consisted of 105 students and 50 students were taken as the sample through cluster random sampling technique. The results of the research concluded, there was a significantly positive correlation between mastery theory of aerodrome control procedures and skill of air traffic control as shown by coefficient correlation 0.6648, there was a significant positive correlation between self-concept and skill of air traffic control as shown by coefficient correlation 0.5825, there was significant positive correlation between frequency of drills and skill of air traffic control as shown by coefficient correlation 0.4159 and there was significant positive correlation of mastery theory of aerodrome control procedures, self-concept, frequency of drills toward the skill of air traffic control as shown by multiple coefficient correlation 0.740. Determination coefficient of multiple correlations was 0.5478 or 54.78% showed that mastery theory of aerodrome control procedures, self-concept, frequency of drills gave impact on skill of air traffic control.