Abstract: Systems and methods for providing an alert to a user device based on generated parameters are disclosed herein. The system can include: a content management server; and a memory communicatingly connected to the content management server via a communication network. The memory can include: a content library database; and a user profile database. The system can include a user device and a supervisor device. The system can include a content management server that can calculate a risk probability and can generate and send an alert to the supervisor device when the risk probability exceeds a threshold level.

Abstract: Systems and methods for providing an alert to a user device based on generated parameters are disclosed herein. The system can include: a content management server; and a memory communicatingly connected to the content management server via a communication network. The memory can include: a content library database; and a user profile database. The system can include a user device and a supervisor device. The system can include a content management server that can calculate a risk probability and can generate and send an alert to the supervisor device when the risk probability exceeds a threshold level.

Abstract: A method/apparatus/system for educational intervention based on a response metric is disclosed. The notice is generated in response to the collection of user and question data, the sending of questions, the receipt of answers, the evaluation of the correctness of the answers, the generation of a response metric, the comparison of the response metric to a threshold, and the generation of the report or notice. The response metric can be reflect the scatter, randomness, and/or slope of student provided answer data, and can be a fractal dimension.

Abstract: Systems and methods for providing an alert to a user device based on generated parameters are disclosed herein. The system can include: a content management server; and a memory communicatingly connected to the content management server via a communication network. The memory can include: a content library database; and a user profile database. The system can include a user device and a supervisor device. The system can include a content management server that can calculate a risk probability and can generate and send an alert to the supervisor device when the risk probability exceeds a threshold level.

Abstract: Systems and methods for providing an alert to a user device based on generated parameters are disclosed herein. The system can include: a content management server; and a memory communicatingly connected to the content management server via a communication network. The memory can include: a content library database; and a user profile database. The system can include a user device and a supervisor device. The system can include a content management server that can calculate a risk probability and can generate and send an alert to the supervisor device when the risk probability exceeds a threshold level.

Abstract: A method/apparatus/system for educational intervention based on a response metric is disclosed. The notice is generated in response to the collection of user and question data, the sending of questions, the receipt of answers, the evaluation of the correctness of the answers, the generation of a response metric, the comparison of the response metric to a threshold, and the generation of the report or notice. The response metric can be reflect the scatter, randomness, and/or slope of student provided answer data, and can be a fractal dimension.

Abstract: Systems and methods for providing an alert to a user device based on generated parameters are disclosed herein. The system can include: a content management server; and a memory communicatingly connected to the content management server via a communication network. The memory can include: a content library database; and a user profile database. The system can include a user device and a supervisor device. The system can include a content management server that can calculate a risk probability and can generate and send an alert to the supervisor device when the risk probability exceeds a threshold level.

Abstract: Systems and methods for providing an alert to a user device based on generated parameters are disclosed herein. The system can include: a content management server; and a memory communicatingly connected to the content management server via a communication network. The memory can include: a content library database; and a user profile database. The system can include a user device and a supervisor device. The system can include a content management server that can calculate a risk probability and can generate and send an alert to the supervisor device when the risk probability exceeds a threshold level.

Abstract: A method/apparatus/system for educational intervention based on a response metric is disclosed. The notice is generated in response to the collection of user and question data, the sending of questions, the receipt of answers, the evaluation of the correctness of the answers, the generation of a response metric, the comparison of the response metric to a threshold, and the generation of the report or notice. The response metric can be reflect the scatter, randomness, and/or slope of student provided answer data, and can be a fractal dimension.

Abstract: A method/apparatus/system for educational intervention based on a response metric is disclosed. The notice is generated in response to the collection of user and question data, the sending of questions, the receipt of answers, the evaluation of the correctness of the answers, the generation of a response metric, the comparison of the response metric to a threshold, and the generation of the report or notice. The response metric can be reflect the scatter, randomness, and/or slope of student provided answer data, and can be a fractal dimension.

Abstract: A method/apparatus/system for educational intervention based on a response metric is disclosed. The notice is generated in response to the collection of user and question data, the sending of questions, the receipt of answers, the evaluation of the correctness of the answers, the generation of a response metric, the comparison of the response metric to a threshold, and the generation of the report or notice. The response metric can be reflect the scatter, randomness, and/or slope of student provided answer data, and can be a fractal dimension.

Abstract: A method/apparatus/system for educational intervention based on a response metric is disclosed. The notice is generated in response to the collection of user and question data, the sending of questions, the receipt of answers, the evaluation of the correctness of the answers, the generation of a response metric, the comparison of the response metric to a threshold, and the generation of the report or notice. The response metric can be reflect the scatter, randomness, and/or slope of student provided answer data, and can be a fractal dimension.

Abstract: A method/apparatus/system for educational intervention based on a response metric is disclosed. The notice is generated in response to the collection of user and question data, the sending of questions, the receipt of answers, the evaluation of the correctness of the answers, the generation of a response metric, the comparison of the response metric to a threshold, and the generation of the report or notice. The response metric can be reflect the scatter, randomness, and/or slope of student provided answer data, and can be a fractal dimension.