DATASIM Option Year 1: 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 report explores the progress that has been made on the prototype reference software, new features that have been introduced, and the aspects of the application which would benefit from further development in the next iteration of the technology.

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Document Details

Document Type
Technical Report
Publication Date
May 27, 2021
Accession Number
AD1141220

Entities

People

  • Shelly Blake-plock

Tags

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Big Data
  • Commerce
  • Computer Program Documentation
  • Computer Program Reliability
  • Computer Programming
  • Consistency
  • Control Systems
  • Data Management
  • Data Sets
  • Department Of Defense
  • Distance Learning
  • Governments
  • Graphical User Interface
  • Iterations
  • Models
  • Platforms
  • Reliability
  • Semantic Models
  • Sequences
  • Specifications
  • Standards
  • Stress Tests
  • Test And Evaluation
  • Training
  • User Interface
  • Validation

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Neural Network Machine Learning.
  • Software Engineering.