Examining the Relationship between Computational Thinking, Lifelong Learning Competencies and Personality Traits Using Path Analysis

The purpose of this study is to determine the relationship between computational thinking, lifelong learning competencies and personality traits university students. It was aimed create a model that explains predicts among variables determined in study. Convenience sampling method used determining group. Data were collected from 228 students through social media. Descriptive statistics, correlation path analysis analyze data. results indicated extroversion, agreeableness, openness are statistically significant predictors thinking. Among traits, agreeableness yielded greatest effect, while extroversion resulted medium effect on In addition, thinking significantly competencies.