Develop CbITS Using AutoTutor to Enhance Generic Concept Learning
Lijia Wang
In this work, we present the application of AutoTutor in a
consulting environment which seeks to educate those at
clinical high-risk (CHR) for psychosis on four key concepts
about the relationship between genetic risk and psychosis
development. A new module in AutoTutor was built to
support one-to-one consulting environment for student to
learning better. To support the non-expertise, a Simeauthoring free tools are used to reduce the authoring burden
from biology experts. The tool can also be used to build the
logic matching rules and performance optimization A pilot
study is carried using AutoTutor. The result provides a high
accuracy and promising application in genetic learning.