Personalizing Talent Development Utilizing a Network Framework

Abstract

The professional development and skill acquisition environment is complex. This environment is broad and chaotic with many talent development opportunities and training paths a job seeker could pursue to become qualified for a desired position; however, job seekers struggle to acquire the skills demanded by the jobs they are pursuing. Furthermore, job seekers also face the challenge of navigating through the various training opportunities, since it is hard to predict what training will best prepare them for the positions they want. Is there a better way to match job seekers to the skills they need to develop? This paper examines and builds upon existing network-based systems to develop a framework that represents the environment, identifies subsets of skills and training content, and builds personalized content training plans. By developing a framework that represents the environment and addresses the challenges job seekers face, users will benefit from meaningful training as a means of preparing for their next job.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2021
Accession Number
AD1150920

Entities

People

  • Andrew E. Dietz

Organizations

  • Naval Postgraduate School

Tags

DTIC Thesaurus Topics

  • Applied Mathematics
  • Business Administration
  • Computer Programming
  • Computers
  • Database Management Systems
  • Databases
  • Domain Specific Programming Languages
  • Employment
  • Graph Theory
  • Graphical User Interface
  • Job Training
  • Linear Programming
  • Mathematical Models
  • Mathematical Programming
  • Network Science
  • Object-Oriented Database Management Systems
  • Operations Research
  • Personnel Management
  • Professional Development
  • Relational Database Management Systems
  • Relational Databases
  • Students

Fields of Study

  • Computer science

Readers

  • Military Leadership and Professional Education.
  • Missile Defense Systems.
  • Systems Analysis and Design