An application of machine learning algorithms to identify success factors being promoted by repetition online learning

Abstract

This research suggests an add-on working compatibly with Google Forms to construct multiple-choice questions (MCQs). This add-on comprises two main components, including software for constructing MCQs, and a data storage for collecting data used to compose MCQs. I demonstrated effectiveness of the add-on by applying it in the context of repetition online learning in which students could learn, relearn, and take an exam of which MCQs generated by the add-on. At the last step of this research, I suggest using a sentiment analysis method – based on natural language processing and machine learning to find environmental factors and teaching strategies suitable for the repetition online learning.