DATASIM Needs Analysis Report Data and Training Analytics Simulated Input Modeler

Abstract

DATASIM is an open-source application that will provide a valid means of producing the data sets necessary to benchmark and stress test the Total Learning Architecture (TLA) and distributed learning acquisitions. Additionally, DATASIM can help learning scientists, ISDs, IT and technology acquisition, and decision-making stakeholders to determine the effectiveness of xAPI data design and implementation across the TLA. This document presents the definitions, needs, features, and considerations necessary to examine the Option Year 1 iteration of the work to continue development of the Data and Training Analytics Simulated Input Modeler (DATASIM). The needs identified in this document will contribute directly to the development of the Beta DATASIM specifications, building on top of the Alpha implementation released in March 2020.

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Document Details

Document Type
Technical Report
Publication Date
May 27, 2021
Accession Number
AD1141221

Entities

People

  • Shelly Blake-plock

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Acquisition
  • Combat Casualty Care
  • Computer Programs
  • Data Sets
  • Demographic Cohorts
  • Department Of Defense
  • Deployment
  • Distance Learning
  • Engineering
  • Feedback
  • Governments
  • High Resolution
  • Information Operations
  • Learning
  • Models
  • Platforms
  • Sequences
  • Simulations
  • Software Design
  • Specifications
  • Standards
  • Stress Tests
  • Test And Evaluation
  • Training

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Defense Technology Research and Development.
  • Neural Network Machine Learning.