Jennifer Linn Coleman

US Patent:

20220198951, Jun 23, 2022

Filed:

Dec 22, 2020

Appl. No.:

17/130924

Inventors:

- Bloomington MN, US
Brian DAILEY - Aurora CO, US
Emilia PANKOWSKA - Poznan, PL
Jennifer Arlene COLEMAN - Belmont MA, US
Zachary Elewitz - Minneapolis MN, US

International Classification:

G09B 7/00
G06Q 10/10
G06Q 50/20
G06F 16/903
H04L 29/06

Abstract:

A system including a computer server implementing a learning resource configured to monitor a user interaction with the learning resource, and encode, based on the user interactions, a user event. The system includes a computer server implementing an event processor. The event processor is configured to receive, from the computer server, the user event, parse the user event to determine the identifications of the user generating the user event, the assessment item, and the learning resource, and the indication of whether the user event is associated with a correct answer or an incorrect answer, and store, in an analytics storage database, a data record including the identification of the user generating the user event, the assessment item, the learning resource, and the indication of whether the user event is associated with a correct answer or an incorrect answer.

US Patent:

20190026473, Jan 24, 2019

Filed:

Sep 7, 2017

Appl. No.:

15/698304

Inventors:

- New York NY, US
Thomas Scott McTavish - Denver CO, US
Jennifer Coleman - Easthampton MA, US
Simcha Knif - Montara CA, US

International Classification:

G06F 21/57
G06F 21/55
G06F 21/56
G06F 3/048
G06F 17/30
G06N 3/02
G06N 99/00

Abstract:

Systems and methods for feature-based alert triggering are disclosed herein. The system can include memory including a model database containing a machine-learning algorithm. The system can include a user device that can receive inputs from a user; and at least one server. The at least one server can: receive electrical signals from the user device, the electrical signals corresponding to a plurality of user inputs provided to the user device; automatically generate input-based features from the received electrical signals; input the input-based features into the machine-learning algorithm; automatically and directly generate a risk prediction with the machine-learning algorithm from the input-based features; and generate and display an alert when the risk prediction exceeds a threshold value.

US Patent:

20190026665, Jan 24, 2019

Filed:

Sep 8, 2017

Appl. No.:

15/699970

Inventors:

- New York NY, US
Ron Itelman - Denver CO, US
Jennifer Coleman - Easthampton MA, US
Stephen Carroll - San Anselmo CA, US

International Classification:

G06Q 10/06
G06Q 50/20
G06F 15/18
H04L 29/08

Abstract:

Systems and methods for feature-based alert triggering are disclosed herein. The system can include memory including a model database containing a machine-learning algorithm. The system can include a user device that can receive inputs from a user; and at least one server. The at least one server can: receive electrical signals from the user device, the electrical signals corresponding to a plurality of user inputs provided to the user device; automatically generate input-based features from the received electrical signals; input the input-based features into the machine-learning algorithm; automatically and directly generate a risk prediction with the machine-learning algorithm from the input-based features; and generate and display an alert when the risk prediction exceeds a threshold value.