Recommendation Engine Guided Learning

Number: 20220058973
Published: 2022-02-24
Filed: 2020-08-20
Assignee: Disney Enterprises, Inc.
Inventors: Doshi; Sonia, Huck; Lori L., Doggett; Erika Varis, Townsend; Paige E.
CPC: G09B5/065; G06F16/9535; G09B5/06; G06F21/31
Verdict: Set aside recommendation-engine education tool, business
Source: Google Patents · FreePatentsOnline

Abstract

A system performing guided user training includes a computing platform having a hardware processor and a memory storing a software code including a training recommendation engine. The hardware processor executes the software code to receive a login input from a user, identify, using the login input, a role type including the user, and determine, using the role type, one or more core competencies for the user. The software code further identifies, using the training recommendation engine, training resources for use in attaining the one or more core competencies, and generates, using the training recommendation engine and the user training profile, one or more learning playlists for attaining each of the core competencies using at least some of the identified training resources.

Background

BACKGROUND

Conventional approaches to employee training in the corporate environment tend to be reactive rather than proactive for several reasons. For instance, it can be difficult and time consuming to identify core competencies that a large organization may need to develop in its employees. Moreover, it is typically easier to offer introductory training or bulk learning resources at scale than to provide long-term individually curated training. In addition, for some organizations, particularly those in technology intensive industries, training needs often change rapidly along with industry changes, making it difficult to predict what specific skills are worth investing in. However, when training fails to address the particular learning needs of an employee, it is less likely that the employee will pursue that training, or engage effectively with it if it is mandated, which can result in wasted investment.

Short-term workshops or introductory training often provide only surface-level knowledge about a topic, rather than imparting a deeper understanding that an employee can apply to their own work. By contrast, for meaningful learning to occur, individual employees need to be able to participate in the identification of their own training pathways, as well as to transfer newly acquired skills to novel situations. Organizations are at risk of losing some of their most curious, ambitious, and potentially productive personnel if they do not provide them with a str

Claims

1. A system comprising: a computing platform including a hardware processor and a system memory; a software code including a training recommendation engine stored in the system memory; the hardware processor configured to execute the software code to: receive a login input from a user; identify, using the login input, a role type including the user; determine, using the role type, at least one core competency for the user; identify, using the training recommendation engine, a plurality of training resources for use in attaining the at least one core competency; and generate, using the training recommendation engine and a training profile of the user, at least one learning playlist for attaining the at least one core competency using at least some of the identified plurality of training resources. || 8. The system of claim I, wherein the identified plurality of training resources for use in attaining the at least one core competency comprises training resources in a plurality of mediums. || 11. A method for use by a system including a computing platform having a hardware processor and a system memory storing a software code including a training recommendation engine, the method comprising: receiving, by the software code executed by the hardware processor, a login input from a user; identifying, by the software code executed hardware processor and using the login input, a role type including the user; determining, by the software code executed by the hardware processor and using the role type, at least one core competency for the user; identifying, by the software code executed by the hardware processor and using the training recommendation engine, a plurality of training resources fair use in attaining the at least one core competency; and generating, by the software code executed by the hardware processor and using the training recommendation engine and the training profile of the user, at least one learning playlist for attaining the at least one core competency using at least some of the identified plurality of training resources.