Study of Online Instruction Methodologies for the DTIC Training Program.

Abstract

This report presents results of a study of various instruction methods currently in use to teach people how to access and search computer-stored bibliographic-type databases in an online mode. The study was performed to provide DTIC management with information about practices and experiences for DTIC use in reaching decisions about its future course of action with respect to educating clientele in DTIC's access system and online databases. Programs of the following organizations were selected for examination: Lockheed Information Retrieval Service (LIRS) (2) programs); University of Denver Graduate School of Librarianship & Information Management (GSLIM); National Library of Medicine (NLM); University of Dayton Research Institute (UDRI); University of Pittsburgh On-Line Training Center (Pitt); House Information Systems (H.I.S.); Congressional Research Service, Library of Congress (CRS); and Defense Technical Information Center (DTIC). The instruction programs were analyzed and compared in four major areas: purposive documentation (goals, objectives criteria); education program (components, duration, availability, location, participants); resources (human, equipment, facilities, instruction materials); and evaluation/feedback mechanisms (instruments, tests, follow-ups, user groups).

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1981
Accession Number
ADA101460

Entities

People

  • Rowena Weiss Swanson

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Audiovisual Aids
  • Computers
  • Congress
  • Databases
  • Governments
  • Information Retrieval
  • Information Science
  • Information Systems
  • Instructors
  • Personnel Management
  • Public Policy
  • Social Sciences
  • Students
  • Technical Information Centers
  • Trainees
  • Training
  • United States Government

Readers

  • Defense Technology Research and Development.
  • Instructional Design and Training Evaluation.
  • STEM Education

Technology Areas

  • AI & ML