TutorJ is an Intelligent Tutoring System able to fulfill the requests of a student with a learning path inside didactical materials. To this aim, it must assess the level of training of the learner. In the first version of TutorJ this goal was reached through a conversational agent whose linguistic interaction enriched by a LSA-based text analysis. This approach suffers from the limitations of LSA as a bag-of- words approach. Next, morphosyntactic comparison of sentences' structures was implemented. In this paper we present a new version of the assessment procedure involving both semantic, and morphosyntactic analysis user's sentences.
|Titolo della pubblicazione ospite||3rd International Conference on Human System Interaction HSI'2010 - Conference Proceedings|
|Numero di pagine||4|
|Stato di pubblicazione||Published - 2010|
All Science Journal Classification (ASJC) codes
- Human-Computer Interaction