STUDENT ENGAGEMENT TRACKING AND ANALYSIS SYSTEM

1 . A computer implemented method comprising:

monitoring, by one or more processors, student interactions with student computing devices during a class session to collect student interaction data including content displayed on the student computing devices;

obtaining, at the one or more processors, an engagement score representative of a student being on track by interacting with content relevant to a predefined learning objective, wherein the engagement score is a function of a weighted relevance score derived by a machine learning language model comparing content displayed on the student computing device to the predefined learning objective to determine the relevance score of the content displayed on the student computing device to the predefined learning objective and a weighted time value of student interaction with the content displayed on the student computing device;

selecting, via the one or more processors, a communication, the communication selected to direct the student to interactions to increase the engagement score;

monitoring student interactions following the communication to determine a post communication engagement score via the machine learning language model; and

modifying an effectiveness score of the communication based on a change between the post communication engagement score and the engagement score.

2 . The method of claim 1 wherein the engagement score is below a predetermined engagement score threshold.

3 . The method of claim 2 wherein the engagement score threshold is settable by an instructor.

4 . The method of claim 1 further comprising providing an instructor interface to enable selection of the communication from a list of multiple different communications.

5 . The method of claim 4 wherein at least one of the multiple communications comprises text describing the learning objective.

6 . The method of claim 4 wherein at least one of the multiple communications comprises a resource recommendation.

7 . The method of claim 4 wherein each of the multiple communications include an effectiveness score that is updated based on a change between the post communication engagement scores and the engagement scores in response to the communication being sent to multiple students.

8 . The method of claim 7 wherein the effectiveness score is decreased if the post communication engagement score minus the engagement score is less than an effectiveness engagement score threshold.

9 . The method of claim 7 wherein the effectiveness score is increased if the post communication engagement score minus the engagement score is greater than an effectiveness engagement score threshold.

10 . The method of claim 1 further comprising:

tracking a time since a beginning of the class; and

wherein the communication is sent to the student in response to the time meeting or exceeding a nudge time threshold.

11 . A machine-readable storage device having instructions for execution by one or more processors of a machine to cause the one or more processors to perform operations to perform a method, the operations comprising:

monitoring, by one or more processors, student interactions with student computing devices during a class session to collect student interaction data including content displayed on the student computing devices;

obtaining, at the one or more processors, an engagement score representative of a student being on track by interacting with content relevant to a predefined learning objective, wherein the engagement score is a function of a weighted relevance score derived by a machine learning language model comparing content displayed on the student computing device to the predefined learning objective to determine the relevance score of the content displayed on the student computing device to the predefined learning objective and a weighted time value of student interaction with the content displayed on the student computing device;

selecting, via the one or more processors, a communication, the communication selected to direct the student to interactions to increase the engagement score;

monitoring student interactions following the communication to determine a post communication engagement score; and

modifying an effectiveness score of the communication based on a change between the post communication engagement score and the engagement score.

12 . The device of claim 11 wherein the engagement score is below a predetermined engagement score threshold.

13 . The device of claim 11 further comprising providing an instructor interface to enable selection of the communication from a list of multiple different communications.

14 . The device of claim 13 wherein at least one of the multiple communications comprises text describing the learning objective.

15 . The device of claim 13 wherein at least one of the multiple communications comprises a resource recommendation.

16 . The device of claim 13 wherein each of the multiple communications include an effectiveness score that is updated based on a change between the post communication engagement scores and the engagement scores in response to the communication being sent to multiple students.

17 . The device of claim 16 wherein the effectiveness score is decreased if the post communication engagement score minus the engagement score is less than an effectiveness engagement score threshold and the effectiveness score is increased if the post communication engagement score minus the engagement score is greater than the effectiveness engagement score threshold.

18 . The device of claim 11 wherein the operations further comprise:

tracking a time since a beginning of the class; and

wherein the communication is sent to the student in response to the time meeting or exceeding a nudge time threshold.

19 . A device comprising:

one or more processors; and

a memory device coupled to the one or more processors and having a program stored thereon for execution by the one or more processors to perform operations comprising:

monitoring, by one or more processors, student interactions with student computing devices during a class session to collect student interaction data including content displayed on the student computing devices;

obtaining, at the one or more processors, an engagement score representative of a student being on track by interacting with content relevant to a predefined learning objective, wherein the engagement score is a function of a weighted relevance score derived by a machine learning language model comparing content displayed on the student computing device to the predefined learning objective to determine the relevance score of the content displayed on the student computing device to the predefined learning objective and a weighted time value of student interaction with the content displayed on the student computing device;

selecting, via the one or more processors, a communication, the communication selected to direct the student to interactions to increase the engagement score;

monitoring student interactions following the communication to determine a post communication engagement score; and

modifying an effectiveness score of the communication based on a change between the post communication engagement score and the engagement score.

20 . The device of claim 16 wherein the effectiveness score is decreased if the post communication engagement score minus the engagement score is less than an effectiveness engagement score threshold and the effectiveness score is increased if the post communication engagement score minus the engagement score is greater than the effectiveness engagement score threshold, and wherein the operations further comprise:

tracking a time since a beginning of the class; and

wherein the communication is sent to the student in response to the time meeting or exceeding a nudge time threshold.