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A knowledge scoring engine (KSE) for real-time knowledge base generation used in intelligent tutoring systems

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2 Author(s)
Jodlowski, M.T. ; Mississippi State Univ., Starkville, MS, USA ; Doane, S.M.

This paper provides a detailed account of a tool developed to facilitate the development of individual computational cognitive models to be used in intelligent tutoring systems (ITS). A generic tool that is called the knowledge scoring engine (KSE) reads eye tracking and human performance data in real-time, parses the data into discrete events, and uses a knowledge inference generator to build and update student knowledge bases. Student knowledge bases are generated by interpreting actions in real-time based on the context in which the actions take place. The knowledge bases generated by KSE are used by ADAPT, a comprehension-based framework construction-integration model of pilot action planning. This paper provides a detailed description of KSE, the current ADAPT architecture, how the ADAPT model interacts with KSE, and the potential for future developments.

Published in:

System Sciences, 2004. Proceedings of the 37th Annual Hawaii International Conference on

Date of Conference:

5-8 Jan. 2004