Dynamic and individualized scheduling engine for app-based learning

A computer-implemented method for dynamically setting user-specific schedules for prompting users to access educational content objects, the method comprising:

• identifying an educational performance metric reflecting a past educational performance of a user enrolled in a class;
• identifying one or more corresponding educational performance metrics reflecting a past educational performance of other students enrolled in the class;
• identifying a target time for providing at least one response to one or more questions;
• accessing a learning schedule, the learning schedule including an identification of a plurality of learning episodes, each of the plurality of learning episodes being associated with a time-related variable indicative of when the learning episode is to occur and a substance-related variable indicative of a learning substance for the learning episode;
• adjusting the learning schedule based on:
• the identified educational performance metric reflecting the past educational performance of the user enrolled in the class;
• the one or more corresponding educational performance metrics reflecting the past educational performance of other students enrolled in the class;
• the target time;
• and
• a target mastery metric;
• wherein the adjusted learning schedule is associated with the user;
• identifying a presentation time based on a time-related variable in the learning schedule;
• identifying an electronic content object associated with the presentation time based on a substance-related variable included in the learning schedule;
• and
• facilitating a presentation of an electronic notification at the presentation time via a device of the user, the electronic notification including an offer to access the identified electronic content object.

A computer-program product tangibly embodied in a non-transitory machine-readable storage medium, including instructions configured to cause one or more data processors to perform actions including:

• identifying an educational performance metric reflecting a past educational performance of a user enrolled in a class;
• identifying one or more corresponding educational performance metrics reflecting a past educational performance of other students enrolled in the class;
• identifying a target time for providing at least one response to one or more questions;
• accessing a learning schedule, the learning schedule including an identification of a plurality of learning episodes, each of the plurality of learning episodes being associated with a time-related variable indicative of when the learning episode is to occur and a substance-related variable indicative of a learning substance for the learning episode;
• adjusting the learning schedule based on:
• the identified educational performance metric reflecting the past educational performance of the user enrolled in the class;
• the one or more corresponding educational performance metrics reflecting the past educational performance of other students enrolled in the class;
• the target time;
• and
• a target mastery metric;
• wherein the adjusted learning schedule is associated with the user;
• identifying a presentation time based on a time-related variable in the learning schedule;
• identifying an electronic content object associated with the presentation time based on a substance-related variable included in the learning schedule;
• and
• facilitating a presentation of an electronic notification at the presentation time via a device of the user, the electronic notification including an offer to access the identified electronic content object.