DATASIM Testing and Evaluation Plan: 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. The purpose of this document is to explore the methodology used to test the TRL5 Beta version of the Data and Training Analytics Simulated Input Modeler (DATASIM).

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Document Details

Document Type
Technical Report
Publication Date
May 27, 2021
Accession Number
AD1141193

Entities

People

  • Shelly Blake-plock

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Accuracy
  • Acquisition
  • Calibration
  • Data Sets
  • Demographic Cohorts
  • Distance Learning
  • Errors
  • Graphical User Interface
  • Hierarchies
  • Instructions
  • Instructors
  • Learning
  • Procurement
  • Reliability
  • Simulations
  • Specifications
  • Standards
  • Test And Evaluation
  • Training
  • User Interface

Readers

  • Artificial Intelligence
  • Database Systems and Applications
  • Instructional Design and Training Evaluation.