The Architecture of Why2-Atlas: A Coach for Qualitative Physics Essay Writing
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
Centroid-based summarization of multiple documents
Information Processing and Management: an International Journal
Computational foundations for personalizing instruction with digital libraries
International Journal on Digital Libraries - Special Issue on Educational digital libraries on the verge
Generating conceptually personalized interactions for educational digital libraries using concept maps
Pedagogically useful extractive summaries for science education
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Computational Linguistics
A probabilistic modeling framework for lexical entailment
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
The PASCAL recognising textual entailment challenge
MLCW'05 Proceedings of the First international conference on Machine Learning Challenges: evaluating Predictive Uncertainty Visual Object Classification, and Recognizing Textual Entailment
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We present initial steps towards an interactive essay writing tutor that improves science knowledge by analyzing student essays for misconceptions and recommending science webpages that help correct those misconceptions. We describe the five components in this system: identifying core science concepts, determining appropriate pedagogical sequences for the science concepts, identifying student misconceptions in essays, aligning student misconceptions to science concepts, and recommending webpages to address misconceptions. We provide initial models and evaluations of the models for each component.