Engagement level determination and dissemination

A method for engagement dissemination, the method comprising operations performed using an electronic processor, the operations comprising:

• detecting, in video data, a face of a student of a plurality of students in a classroom;
• determining that the student is on-platform based on log data;
• determining a section type for the student based on the log data, wherein the section type is one of an instructional section type or an assessment section type;
• selecting, using an appearance monitor (APM), a first emotional classifier specific to the section type;
• classifying, using the first emotional classifier, a first emotional component based on the detected face;
• selecting, using the APM, a first behavioral classifier specific to the section type;
• classifying, using the first behavioral classifier, a first behavioral component based on the detected face;
• selecting, using a context-performance monitor (CPM), a second emotional classifier specific to the section type;
• classifying, using the second emotional classifier, a second emotional component based on the log data and the section type;
• selecting, using the CPM, a second behavioral classifier specific to the section type;
• classifying, using the second behavioral classifier, a second behavioral component based on the log data and the section type by using input derived from the log data to extract a set of features, the set of features including at least one of:
• a number of failed first attempts to a number of questions, a number of hints used within a time period, or an amount of time spent on a first attempt on answering questions in a topic;
• combining the classified first emotional component and the second emotional component into an emotional state of the student based on confidence values of the first emotional component and the second emotional component;
• combining the classified first behavioral component and the second behavioral component into a behavioral state of the student based on confidence values of the first behavioral component and the second behavioral component;
• determining an engagement level of the student based on the emotional state of the student and the behavioral state of the student;
• and
• displaying a student avatar representing the student in a user interface, the user interface including a plurality of student avatars that includes the student avatar, each of the plurality of student avatars representing a respective student in the classroom, wherein each of the plurality of student avatars are colored with an engagement color indicating a respective engagement level of the respective student.

At least one non-transitory computer-readable medium including instructions for engagement dissemination, the computer-readable medium comprising instructions that, when executed by a machine, cause the machine to perform operations comprising:

• detecting in video data, a face of a student of a plurality of students in a classroom;
• determining that the student is on-platform based on log data;
• determining a section type for the student based on the log data, wherein the section type is one of an instructional section type or an assessment section type;
• selecting, using an appearance monitor (APM), a first emotional classifier specific to the section type;
• classifying, using the first emotional classifier, a first emotional component based on the detected face;
• selecting, using the APM, a first behavioral classifier specific to the section type;
• classifying, using the first behavioral classifier, a first behavioral component based on the detected face;
• selecting, using a context-performance monitor (CPM), a second emotional classifier specific to the section type;
• classifying, using the second emotional classifier, a second emotional component based on the log data and the section type by using input derived from the log data to extract a set of features, the set of features including at least one of:
• a number of failed first attempts to a number of questions, a number of hints used within a time period, or an amount of time spent on a first attempt on answering questions in a topic;
• selecting, using the CPM, a second behavioral classifier specific to the section type;
• classifying, using the second behavioral classifier, a second behavioral component based on the log data and the section type;
• combining the classified first emotional component and the second emotional component into an emotional state of the student based on confidence values of the first emotional component and the second emotional component;
• combining the classified first behavioral component and the second behavioral component into a behavioral state of the student based on confidence values of the first behavioral component and the second behavioral component;
• determining an engagement level of the student based on the emotional state of the student and the behavioral state of the student;
• and
• displaying a student avatar representing the student in a user interface, the user interface including a plurality of student avatars that includes the student avatar, each of the plurality of student avatars representing a respective student in the classroom, wherein each of the plurality of student avatars are colored with an engagement color indicating a respective engagement level of the respective student.