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.