Abstract
This chapter describes how intelligent tutoring systems (ITS) can be used for assessment. It begins by describing intelligent tutoring systems and distinguishing them from an older, more widely available technology. It argues that this newer technology has some intrinsic benefits as a tool for assessment. It then describes a particular type of assessment widely used in the ITS community. The assessment technique is based on a mathematically sound inference method, Bayesian belief networks. The basic technique, an adaptation of Knowledge Tracing (Corbett & Anderson, 1995), is described along with several recent extensions.
| Original language | English (US) |
|---|---|
| Title of host publication | The Future of Assessment |
| Subtitle of host publication | Shaping Teaching and Learning |
| Publisher | Taylor and Francis |
| Pages | 113-138 |
| Number of pages | 26 |
| ISBN (Electronic) | 9781351544429 |
| ISBN (Print) | 9780805863970 |
| DOIs | |
| State | Published - Jan 1 2017 |
| Externally published | Yes |
ASJC Scopus subject areas
- General Social Sciences