Ontology-based examinational students work retrieval

• Authors: Dilyana Budakova;Lyudmil Dakovski
• Venue: CompSysTech '08 Proceedings of the 9th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing
• Year: 2008

Intelligent Virtual Agent (IVA) developments provide a new kind of interaction between the IVA and the human beings in front of the computer. Agents -- assistants that present lessons, ask questions about the lesson, and examine the students, are gladly received, with great interest from the students. Therefore we are working on modelling and investigating an IVA intended to help students in their preparation for a particular examination and to check their paper works after the examination. The agent's architecture includes a number of modules, such as: an emotional module; a motivational module; a module, comprising behavioural rules and meta-rules (principles); a module for acquisition and usage of knowledge; modules for visualization of the agent and animated pronunciation of texts. The agent's modules serve different steps: building an ontology of lectures; ontology-based recognition of the topic, on which a student has worked; natural language processing; semiautomatic creation and enrichment of the ontology of each lecture; ontology-based checking of the particular student's work (matching processing); loading up those slides from the lecture, which contain the information, omitted in the student's work; accumulation of statistical data related to the identified matches; change of the agent's condition; visualization of the agent and pronunciation of a text