Feature-rich part-of-speech tagging with a cyclic dependency network
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
How to Qualitatively + Quantitatively Assess Concepts Maps: the case of COMPASS
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
Unsupervised learning of semantic relations between concepts of a molecular biology ontology
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
What students (should) know about object oriented programming
Proceedings of the seventh international workshop on Computing education research
Ontology-supported scaffolding of concept maps
AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
Use of concept maps to analyze students' understanding of the I/O subsystem
Proceedings of the 13th Koli Calling International Conference on Computing Education Research
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Measuring the effects of teaching on a larger scale is a promising approach in educational research. However, the costs for manual or semi-manual methods are prohibitively large when dealing with larger groups of students. Automated system are needed therefore, to assist in the process of collecting and evaluating the data. To this end, we propose a system of 3 components that allow the large scale assessment of concept-maps in order to detect the development of knowledge and misconceptions of larger groups of students.