Mobile learning applications are really popular these days for people who want to prepare for exams. One big problem is that people do not stay engaged for long. Most platforms only look at what people did in the past. They do not try to guess what people will do in the future. This paper talks about a way to analyze and predict how engaged people will be with mobile learning applications. We collect data on how people interact with the application like how they use it, how many quizzes they try, and how often they log in. Then we use computer programs, like Logistic Regression, Decision Tree, and Random Forest, to guess if someone will stay active or not. Our results show that the Random Forest program is really good at guessing with an accuracy of 89.3%. This helps us make plans to keep people engaged and improve their learning.
Lal Rajive Pratap Singh (Thu,) studied this question.