Advanced Distributed Learning - Memphis Intelligent Tutoring Systems Center
Impact study of Learning Technology in Applied Settings Capabilities

The primary goal of the Learning Technology in Applied Settings area is to conduct real-world tests of learning systems and learning science techniques using in vivo experimentation (controlled randomized classroom studies). The end goal is to provide effective methods for learning that can stand up to the stress of real world environments such as classrooms or e-learning course based environments. As in the cognitive studies of learning systems area, researchers in this area are experts at conducting randomized controlled experiments to determine the effectiveness of learning technology systems but have experience implementing these systems outside the laboratory.

Typical projects considered by this area 
  • A study consists of an evaluation of learning technology in a classroom or online learning setting. The evaluation phase measures: 
    •  Effectiveness: What is the extent to which the material was mastered? 
    • Usability: To what extent is the learner satisfied in terms of overall usability of the system? 
  • Effectiveness is normally measured by: 
    •  Verbal protocol analysis of the user’s learning process (provides effectiveness and usability data) 
    • Mastery: detailed analysis of pretest and posttest learning measures tailored to the learning domain being tested. 

Examples of Current Systems

The ADL-CITSRD is located in the FedEx Institute of Technology (FIT) on the campus of the University of Memphis. Researchers associated with the center are faculty, researchers, post-doctoral fellows, and advanced graduate students in the Institute for Intelligent Systems (IIS). The center researchers have extensive experience in research, development, and evaluation of advanced learning environments.
Research Capabilities
Cognitive studies of learning systems
Impact study of Learning Technology in Applied Settings
Development Capabilities
ITS enhancement of learning content
Service Capabilities
Usability Analysis for Learning Environments
Text Analysis Using Computational Linguistics Tools
Team Memphis Projects
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Last Updated: 1/5/12