Effects of Question Types on Engagement and Performance of Programming Learning for Non-computer Science Majors

This study seeks to investigate the effects of web-based computer programming learning, equipped with Questions and Answers, on students whose majors are not computer science. The proposed system allows five types of questions to be generated: essay, multiple-choice, fill-in-the-blank, true-false, and coding. It is found that spending time to complete given tasks by interacting with questions is a significant predictor. Furthermore, academic performance is significantly correlated with participating in fill-in-the-blank, essay, and coding questions. Findings are also stated that there were no differences between academic performance and engagement regarding gender.