A Video Retrieval System for Computer Assisted Language Learning
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
A ubiquitous agent for unrestricted vocabulary learning in noisy digital environments
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
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A premise of this paper is that there are distinctive qualities of the domain of language which render learning a language uniquely suitable for a radical contextualization within digital environments. The paper thus describes and illustrates an approach to supporting foreign language learning ubiquitously in unrestricted networked environments. The two tools presented focus on vocabulary learning. The Collocator tool detects and highlights collocations (such as ýprescribe medicineý or ýstiff competitioný) in real time on any web page the user is viewing. The user can select any of the highlighted collocations for focused attention, activating a ýpushý mechanism that will provide repeated examples of the collocation over the ensuing days. Word Spider allows users to select unknown words in any web text and it responds by finding semantically related words in its context, automatically annotating these, exploiting them as contextual clues to the meaning of the targeted unknown word.