Personalizing application interfaces based on usage

A system for personalizing an application, the system comprising:

• an application server for hosting an application that is executed on a wireless device;
• and
• a processor coupled to the application server, the processor being configured to perform operations comprising:
• transmitting, via the application, a first user interface element to the wireless device, wherein the first user interface element comprises at least one of a prompt, a question, and a menu for an input;
• displaying the first user interface element on the wireless device;
• monitoring a usage of the first user interface element, wherein the monitoring comprises monitoring an interaction between a user of the application and the first user interface element, and wherein the monitoring further comprises detecting a first input to the prompt, measuring a time of the first input, measuring a length of the first input, determining a type of the first input, or determining that there is no input;
• initiating a timer as soon as the first user interface element is displayed;
• classifying said user into one or more stages based on a first input provided to the first user interface element and an elapsed time measured by the timer for the first input, wherein the one or more stages are related to at least one of a proficiency level, an interest level, and a behavioral level, and wherein a level of each stage ranges from a minimum value to a maximum value;
• determining, using a trained machine learning algorithm, one or more additional user-interface elements, based on both the monitoring and the classifying;
• transmitting the one or more additional user-interface elements to the wireless device;
• and
• displaying the one or more additional user interface elements on the wireless device,
• wherein the one or more additional user interfaces are dynamically modified via real-time updating of user-interface elements,
• wherein the machine learning algorithm is a modified Q-learning algorithm comprising a plurality of Q-value (s, a) state-action pairs, and
• wherein a reward for each Q-value (s, a) state-action pair is based on user feedback for choosing action a in state s, and wherein the action corresponds to classifying said user into a stage and the state corresponds to the first user interface element.