US 2020/0027364 A1 · UTILIZING MACHINE LEARNING MODELS TO AUTOMATICALLY PROVIDE CONNECTED LEARNING SUPPORT AND SERVICES

Abstract

A device receives media data from one or more streaming devices, receives educational data from one or more server devices, and receives Internet of Things (IoT) data from one or more IoT devices. The device pre-processes the media data, the educational data, and the IoT data to generate pre-processed data, and generates one or more machine learning models based on the pre-processed data. The device optimizes parameters for the one or more machine learning models, and validates the one or more machine learning models, based on optimizing the parameters for the one or more machine learning models, to generate one or more validated machine learning models. The device determines, based on the one or more validated machine learning models, recommendations for learning services that are synchronized, and causes at least one of the learning services to be implemented based on the recommendations for the learning services.

Claims20

Dependent claims

A device, comprising:

one or more memories;
and
one or more processors, communicatively coupled to the one or more memories, to:
receive media data from one or more streaming devices;
receive educational data from one or more server devices;
receive Internet of Things (IoT) data from one or more IoT devices;
pre-process the media data, the educational data, and the IoT data to generate pre-processed data;
generate one or more machine learning models based on the pre-processed data;
optimize parameters for the one or more machine learning models;
validate the one or more machine learning models, based on optimizing the parameters for the one or more machine learning models, to generate one or more validated machine learning models;
determine, based on the one or more validated machine learning models, recommendations for learning services that are synchronized;
and
cause at least one of the learning services to be implemented based on the recommendations for the learning services.

10 more elements

A non-transitory computer-readable medium storing instructions, the instructions comprising:

one or more instructions that, when executed by one or more processors of a device, cause the one or more processors to:
receive media data that includes one or more of video streaming data, voice data, or image data;
receive educational data associated with educational courses and subject matter included in the educational courses;
receive Internet of Things (IoT) data from IoT devices,
the IoT data being associated with the media data and the educational data;
apply one or more pre-processing techniques to the media data, the educational data, and the IoT data to generate pre-processed data;
generate one or more validated machine learning models based on the pre-processed data;
utilize the one or more validated machine learning models to determine recommendations for learning services;
and
cause at least one of the learning services to be implemented based on the recommendations for the learning services.

7 more elements

Dependencies are inferred from the claim text.

Utilizing machine learning models to automatically provide connected learning support and services

Life of this patent

Utilizing machine learning models to automatically provide connected learning support and services

Life of this patent

Abstract

Claims20