Considerations for Developing a Generalized Gradebook for an Open-Source Intelligent Tutoring System Framework

The current paper describes a use case of an open-source intelligent tutoring system (ITS) framework, the Generalized Intelligent Framework for Tutoring (GIFT). GIFT has been primarily used by researchers, and it is a highly flexible system that allows for tutoring to be created in the topic area of the author's choice. While there are tools to output data from GIFT, there is not a traditional standardized gradebook tool that can be easily used by a non-researcher. Due to the generalizable design of GIFT, and the unique characteristics of intelligent tutoring performance, this is an interesting design challenge. The current paper discusses the current state of data export in GIFT, describes the adaptive courseflow approach to tutoring in GIFT, and discusses potential approaches to visualizing adaptive tutoring data in a way that instructors can easily understand and gain the maximum knowledge from.