Knowledge engineering for intelligent tutoring systems: assessing semi-automatic skill encoding methods

Authors:
Kevin Kardian;Neil T. Heffernan
Affiliations:
Computer Science Department, Worcester Polytechnic Institute, Worcester, MA;Computer Science Department, Worcester Polytechnic Institute, Worcester, MA
Venue:
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
Year:
2006

Citing 2
Cited 1

Blending Assessment and Instructional Assisting

Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
Automatic and Semi-Automatic Skill Coding With a View Towards Supporting On-Line Assessment

Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology

Blending intelligent and reciprocal tutoring systems: a dynamic approach

Proceedings of the International Conference and Workshop on Emerging Trends in Technology

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Abstract

Building a mapping between items and their related knowledge components, while difficult and time consuming, is central to the task of developing affective intelligent tutoring systems. Improving performance on this task by creating a semi-automatic skill encoding system would facilitate the development of such systems. The goal of this project is to explore techniques involved in text classification to the end of improving the time required to correctly tag items with their associated skills.