Invention Application
- Patent Title: SYSTEMS AND METHODS FOR AUTOMATED BAYESIAN-NETWORK BASED MASTERY DETERMINATION
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Application No.: US15895951Application Date: 2018-02-13
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Publication No.: US20180232651A1Publication Date: 2018-08-16
- Inventor: Mark Potter , Kimberly Runyon , Laura Pionek
- Applicant: Pearson Education, Inc.
- Main IPC: G06N7/00
- IPC: G06N7/00 ; H04L29/08 ; G06F3/0484 ; G06F17/27 ; G09B5/02

Abstract:
Systems and methods for determining mastery in a Bayesian network are disclosed herein. The system can include memory including a content library database containing content for delivery to a user. The system can include at least one processor that can receive an assertion from a user device and identify one or several nodes relevant to the received assertion. The at least one processor can further evaluate the assertion and calculate a node mastery probability for the identified one or several relevant nodes. The at least one processor can calculate mastery of related nodes and determine mastery of an objective based on the mastery of the relevant nodes and the related nodes. The at least one processor can generate a mastery bar and update the mastery bar with the determined mastery of the objective.
Public/Granted literature
- US11113616B2 Systems and methods for automated bayesian-network based mastery determination Public/Granted day:2021-09-07
Information query
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06N | 基于特定计算模型的计算机系统 |
G06N7/00 | 基于特定数学模式的计算机系统 |