Abstract: A system and method for automated assessment of constrained constructed responses provides for automatic, e.g., programmatic, assessing of a test subject response to a constrained constructed response item or question. In one embodiment, paper test materials with test subject markings thereon are converted to electronic form. Test subject markings are further isolated, for example, by registration, sizing and removal of markings other than a graphic response. The subject markings are further compared with a baseline response, correctness deviation criteria and incorrectness deviation criteria (e.g., correctness, incorrectness, substantial correctness, substantial incorrectness, and so on) from which one or more of a score, further learning or other assessment results may be determined. Cluster analysis or other post-evaluation or post-assessment processing may also be conducted, or re-evaluation or re-assessment may also be conducted.

Abstract: An embodiment of the invention provides a system and method for creating a learning map, which is a device for expressing hypothesized learning target dependencies within any domain of knowledge of skill acquisition. The system and method are also able to utilize multiple data types and sources to assess whether the learning target dependencies expressed by a learning map are accurate and are configured to modify the learning map as necessary so that the learning map conforms to the reality of how students learn.