The primary goal of the cognitive studies of learning systems area is to provide tests
of a learning system’s ability to maximize the user’s cognitive capacities and thus improve
the user’s learning experience. Researchers in this area are experts at conducting
randomized controlled experiments to determine the effectiveness of learning technology
systems. The randomized experiments allow researchers to determine if a current system
is effective and suggest improvements based on current cognitive research.
Typical projects considered by this area
- A study consists of an evaluation and a recommendation phase. The evaluation phase
- Effectiveness: What is the extent to which the material was mastered?
- Engagement: To what extent is the user satisfied in terms of overall engagement and usability
of the system?
- Effectiveness and engagement can be measured by:
- Verbal protocol analysis of the user’s learning process
- Mastery: detailed analysis of pretest and posttest learning measures tailored to the
learning domain being tested.
- Engagement: Engagement measurements can range from offline self report measures from
the user to online engagement measure based on non intrusive sensing technology such
as body position and facial expressions.
- Based on the evaluation of the data in the evaluation stage, recommendations can be
made for improving the learning environments.
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.