Work

Measuring knowledge transfer skills by using constrained-student modeler autonomous agent

Year: 2002

Type: conference-paper

Abstract: The authors propose a methodology for the design of a student modeler autonomous agent based on a constraint model. The function of the autonomous agent is to interpret the student's constraint violations and draw a behavioral schema of the student's knowledge transfer skills on a neural network concepts. We aimed to build a student modeler by taking advantage of both the theoretical framework of the constraint based model and the autonomous agent. This enables us to generate from a set of constraints desirable functions such as: task generation, hints, and domain application metaphors related to the student's learning goals. We present the fundamental issue of how to represent student knowledge transfer skills in an autonomous agent.

Source: IEEE International Conference on Advanced Learning Technologies (ICALT)

DOI: 10.1109/icalt.2001.943949

Authors: S. Belkada, A.I. Cristea, T. Okamoto

Institution: University of Electro-Communications

Language: English

Topic: Intelligent Tutoring Systems and Adaptive Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

OpenAlex ID: W2160543151

FWCI: 1.46

Cites: 4

Cited by: 10

Related to: 10